Stochastic Networked Control Systems

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Stochastic Networked Control Systems

Author : Serdar Yüksel
Publisher : Springer Science & Business Media
ISBN 13 : 1461470854
Total Pages : 491 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Stochastic Networked Control Systems by : Serdar Yüksel

Download or read book Stochastic Networked Control Systems written by Serdar Yüksel and published by Springer Science & Business Media. This book was released on 2013-05-21 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked control systems are increasingly ubiquitous today, with applications ranging from vehicle communication and adaptive power grids to space exploration and economics. The optimal design of such systems presents major challenges, requiring tools from various disciplines within applied mathematics such as decentralized control, stochastic control, information theory, and quantization. A thorough, self-contained book, Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints aims to connect these diverse disciplines with precision and rigor, while conveying design guidelines to controller architects. Unique in the literature, it lays a comprehensive theoretical foundation for the study of networked control systems, and introduces an array of concrete tools for work in the field. Salient features included: · Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems. · Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods. · Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems. · Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models. · Decentralized agreement and dynamic optimization under information constraints. This monograph is geared toward a broad audience of academic and industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as a supplemental graduate text. The reader is expected to have some familiarity with linear systems, stochastic processes, and Markov chains, but the necessary background can also be acquired in part through the four appendices included at the end. · Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems. · Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods. · Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems. · Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models. · Decentralized agreement and dynamic optimization under information constraints. This monograph is geared toward a broad audience of academic and industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as a supplemental graduate text. The reader is expected to have some familiarity with linear systems, stochastic processes, and Markov chains, but the necessary background can also be acquired in part through the four appendices included at the end.

Optimal Networked Control Systems with MATLAB

Author : Jagannathan Sarangapani
Publisher : CRC Press
ISBN 13 : 9781482235258
Total Pages : 0 pages
Book Rating : 4.2/5 (352 download)

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Book Synopsis Optimal Networked Control Systems with MATLAB by : Jagannathan Sarangapani

Download or read book Optimal Networked Control Systems with MATLAB written by Jagannathan Sarangapani and published by CRC Press. This book was released on 2015-12-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive treatment of the optimal control design and analysis of both linear and nonlinear networked systems without needing the system dynamics and network imperfections. Both state and event trigger design are also introduced in order to minimize congestion and improve network performance. In addition, the book includes many practical systems in the examples and workout problems presented in each chapter.

Networked Control Systems

Author : Alberto Bemporad
Publisher : Springer Science & Business Media
ISBN 13 : 0857290320
Total Pages : 373 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Networked Control Systems by : Alberto Bemporad

Download or read book Networked Control Systems written by Alberto Bemporad and published by Springer Science & Business Media. This book was released on 2010-10-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book nds its origin in the WIDE PhD School on Networked Control Systems, which we organized in July 2009 in Siena, Italy. Having gathered experts on all the aspects of networked control systems, it was a small step to go from the summer school to the book, certainly given the enthusiasm of the lecturers at the school. We felt that a book collecting overviewson the important developmentsand open pr- lems in the eld of networked control systems could stimulate and support future research in this appealing area. Given the tremendouscurrentinterests in distributed control exploiting wired and wireless communication networks, the time seemed to be right for the book that lies now in front of you. The goal of the book is to set out the core techniques and tools that are ava- able for the modeling, analysis and design of networked control systems. Roughly speaking, the book consists of three parts. The rst part presents architectures for distributed control systems and models of wired and wireless communication n- works. In particular, in the rst chapter important technological and architectural aspects on distributed control systems are discussed. The second chapter provides insight in the behavior of communication channels in terms of delays, packet loss and information constraints leading to suitable modeling paradigms for commu- cation networks.

Nonlinear Control and Filtering for Stochastic Networked Systems

Author : Lifeng Ma
Publisher : CRC Press
ISBN 13 : 0429761929
Total Pages : 180 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Nonlinear Control and Filtering for Stochastic Networked Systems by : Lifeng Ma

Download or read book Nonlinear Control and Filtering for Stochastic Networked Systems written by Lifeng Ma and published by CRC Press. This book was released on 2018-12-07 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further, novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally, the theories/techniques developed are applied to emerging research areas. Key Features Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities Includes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems) Exploits the recursive linear matrix inequality approach, completing the square method, Hamilton-Jacobi inequality approach, and parameter-dependent matrix inequality approach to handle the emerging mathematical/computational challenges Captures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective Gives simulation examples in each chapter to reflect the engineering practice

Optimal and Robust Scheduling for Networked Control Systems

Author : Stefano Longo
Publisher : CRC Press
ISBN 13 : 1466569549
Total Pages : 280 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Optimal and Robust Scheduling for Networked Control Systems by : Stefano Longo

Download or read book Optimal and Robust Scheduling for Networked Control Systems written by Stefano Longo and published by CRC Press. This book was released on 2013-03-26 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system. Technical Results, Design Techniques, and Practical Applications The book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system. Practical Solutions to Your Time-Triggered Communication Problems This unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.

Stochastic Distribution Control System Design

Author : Lei Guo
Publisher : Springer
ISBN 13 : 9781447125594
Total Pages : 0 pages
Book Rating : 4.1/5 (255 download)

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Book Synopsis Stochastic Distribution Control System Design by : Lei Guo

Download or read book Stochastic Distribution Control System Design written by Lei Guo and published by Springer. This book was released on 2012-07-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems.

Stochastic Network Optimization with Application to Communication and Queueing Systems

Author : Michael Neely
Publisher : Springer Nature
ISBN 13 : 303179995X
Total Pages : 199 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Stochastic Network Optimization with Application to Communication and Queueing Systems by : Michael Neely

Download or read book Stochastic Network Optimization with Application to Communication and Queueing Systems written by Michael Neely and published by Springer Nature. This book was released on 2022-05-31 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A simple drift-plus-penalty framework is used to optimize time averages such as throughput, throughput-utility, power, and distortion. Explicit performance-delay tradeoffs are provided to illustrate the cost of approaching optimality. This theory is also applicable to problems in operations research and economics, where energy-efficient and profit-maximizing decisions must be made without knowing the future. Topics in the text include the following: - Queue stability theory - Backpressure, max-weight, and virtual queue methods - Primal-dual methods for non-convex stochastic utility maximization - Universal scheduling theory for arbitrary sample paths - Approximate and randomized scheduling theory - Optimization of renewal systems and Markov decision systems Detailed examples and numerous problem set questions are provided to reinforce the main concepts. Table of Contents: Introduction / Introduction to Queues / Dynamic Scheduling Example / Optimizing Time Averages / Optimizing Functions of Time Averages / Approximate Scheduling / Optimization of Renewal Systems / Conclusions

Networked Control Systems

Author : Magdi S. Mahmoud
Publisher : Butterworth-Heinemann
ISBN 13 : 0128163011
Total Pages : 504 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Networked Control Systems by : Magdi S. Mahmoud

Download or read book Networked Control Systems written by Magdi S. Mahmoud and published by Butterworth-Heinemann. This book was released on 2019-02-09 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked Control Systems: Cloud Control and Secure Control explores new technological developments in networked control systems (NCS), including new techniques, such as event-triggered, secure and cloud control. It provides the fundamentals and underlying issues of networked control systems under normal operating environments and under cyberphysical attack. The book includes a critical examination of the principles of cloud computing, cloud control systems design, the available techniques of secure control design to NCS's under cyberphysical attack, along with strategies for resilient and secure control of cyberphysical systems. Smart grid infrastructures are also discussed, providing diagnosis methods to analyze and counteract impacts. Finally, a series of practical case studies are provided to cover a range of NCS's. This book is an essential resource for professionals and graduate students working in the fields of networked control systems, signal processing and distributed estimation. - Provides coverage of cloud-based approaches to control systems and secure control methodologies to protect cyberphysical systems against various types of malicious attacks - Provides an overview of control research literature and explores future developments and solutions - Includes case studies that offer solutions for issues with modeling, quantization, packet dropout, time delay and communication constraints

Networked Nonlinear Stochastic Time-Varying Systems

Author : Hongli Dong
Publisher :
ISBN 13 : 9781032038803
Total Pages : 0 pages
Book Rating : 4.0/5 (388 download)

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Book Synopsis Networked Nonlinear Stochastic Time-Varying Systems by : Hongli Dong

Download or read book Networked Nonlinear Stochastic Time-Varying Systems written by Hongli Dong and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities (e.g. state-multiplicative noises, stochastic nonlinearities, stochastic inner couplings, channel fadings, measurement quantizations etc).

Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems

Author : Sabo Miya Hassan
Publisher : Springer Nature
ISBN 13 : 3030477371
Total Pages : 165 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems by : Sabo Miya Hassan

Download or read book Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems written by Sabo Miya Hassan and published by Springer Nature. This book was released on 2020-05-12 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in wireless technology have led to the emergence of industry standards such as WirelessHART. These strategies minimise the need for cumbersome cabling, thereby reducing costs. However, applying them involves the challenge of handling stochastic network delays, which can degrade control performance. To address this problem, commonly used simple PID could be employed. However, PID suffers from gain range limitations when used in a delayed environment. Furthermore, model-based controllers are complex and require exact models of the process and systematic system identification for implementation. Therefore, to address these issues, the book proposes control strategies that retain the simplicity of PID in terms of ease of tuning and structure, while improving on the performance of the closed-loop system with regard to stochastic network delays and mismatches. Concretely, it proposes and discusses three strategies, namely: Setpoint Weighting (SW), Filtered Predictive PI (FPPI) and Optimal Fuzzy PID. In order to optimise some of these controllers, two novel hybrid optimisation algorithms combining the dynamism of the Bacterial Foraging Algorithm (BFA) and advantages of both the Spiral Dynamic Algorithm (SDA) and the Accelerated Particle Swarm Optimisation (APSO) have been used. The strategies proposed here can also be applied in stochastic control scenarios (not necessarily wireless) characterised by uncertainties. This book will be useful to engineers and researchers in both industry and academia. In industry, it will be particularly useful to research and development efforts where PID controllers and wireless sensor networks (WSNs) involving both short and long term stochastic network delay are employed. Thus, it can be used for real-time control design in these areas. In the academic setting, the book will be useful for researchers, undergraduate and graduate students of instrumentation and control. It can also be used as reference material for teaching courses on predictive and adaptive controls and their application.

Reinforcement Learning and Dynamic Programming Using Function Approximators

Author : Lucian Busoniu
Publisher : CRC Press
ISBN 13 : 1439821097
Total Pages : 280 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Reinforcement Learning and Dynamic Programming Using Function Approximators by : Lucian Busoniu

Download or read book Reinforcement Learning and Dynamic Programming Using Function Approximators written by Lucian Busoniu and published by CRC Press. This book was released on 2017-07-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those developments led to the creation of reliable methods that can be applied even when a mathematical model of the system is unavailable, allowing researchers to solve challenging control problems in engineering, as well as in a variety of other disciplines, including economics, medicine, and artificial intelligence. Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP. With a focus on continuous-variable problems, this seminal text details essential developments that have substantially altered the field over the past decade. In its pages, pioneering experts provide a concise introduction to classical RL and DP, followed by an extensive presentation of the state-of-the-art and novel methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, they elaborate on their work with illustrative examples and insightful comparisons. Three individual chapters are dedicated to representative algorithms from each of the major classes of techniques: value iteration, policy iteration, and policy search. The features and performance of these algorithms are highlighted in extensive experimental studies on a range of control applications. The recent development of applications involving complex systems has led to a surge of interest in RL and DP methods and the subsequent need for a quality resource on the subject. For graduate students and others new to the field, this book offers a thorough introduction to both the basics and emerging methods. And for those researchers and practitioners working in the fields of optimal and adaptive control, machine learning, artificial intelligence, and operations research, this resource offers a combination of practical algorithms, theoretical analysis, and comprehensive examples that they will be able to adapt and apply to their own work. Access the authors' website at www.dcsc.tudelft.nl/rlbook/ for additional material, including computer code used in the studies and information concerning new developments.

Stochastic Network Calculus

Author : Yuming Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 1848001274
Total Pages : 240 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Stochastic Network Calculus by : Yuming Jiang

Download or read book Stochastic Network Calculus written by Yuming Jiang and published by Springer Science & Business Media. This book was released on 2009-03-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network calculus is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the use of alternate algebras such as the min-plus algebra to transform complex network systems into analytically tractable systems. To simplify the ana- sis, another idea is to characterize tra?c and service processes using various bounds. Since its introduction in the early 1990s, network calculus has dev- oped along two tracks—deterministic and stochastic. This book is devoted to summarizing results for stochastic network calculus that can be employed in the design of computer networks to provide stochastic service guarantees. Overview and Goal Like conventional queuing theory, stochastic network calculus is based on properly de?ned tra?c models and service models. However, while in c- ventional queuing theory an arrival process is typically characterized by the inter-arrival times of customers and a service process by the service times of customers, the arrival process and the service process are modeled in n- work calculus respectively by some arrival curve that (maybe probabilis- cally) upper-bounds the cumulative arrival and by some service curve that (maybe probabilistically) lower-bounds the cumulative service. The idea of usingboundstocharacterizetra?candservicewasinitiallyintroducedfor- terministic network calculus. It has also been extended to stochastic network calculus by exploiting the stochastic nature of arrival and service processes.

Communication-Protocol-Based Filtering and Control of Networked Systems

Author : Lei Zou
Publisher : Springer Nature
ISBN 13 : 3030975126
Total Pages : 222 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Communication-Protocol-Based Filtering and Control of Networked Systems by : Lei Zou

Download or read book Communication-Protocol-Based Filtering and Control of Networked Systems written by Lei Zou and published by Springer Nature. This book was released on 2022-05-03 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication-Protocol-Based Filtering and Control of Networked Systems is a self-contained treatment of the state of the art in communication-protocol-based filtering and control; recent advances in networked systems; and the potential for application in sensor networks. This book provides new concepts, new models and new methodologies with practical significance in control engineering and signal processing. The book first establishes signal-transmission models subject to different communication protocols and then develops new filter design techniques based on those models and preset requirements for filtering performance. The authors then extend this work to finite-horizon H-infinity control, ultimately bounded control and finite-horizon consensus control. The focus throughout is on three typical communications protocols: the round-robin, random-access and try-once-and-discard protocols, and the systems studied are drawn from a variety of classes, among them nonlinear systems, time-delayed and time-varying systems, multi-agent systems and complex networks. Readers are shown the latest techniques—recursive linear matrix inequalities, backward recursive difference equations, stochastic analysis and mapping methods. The unified framework for communication-protocol-based filtering and control for different networked systems established in the book will be of interest to academic researchers and practicing engineers working with communications and other signal-processing systems. Senior undergraduate and graduate students looking to increase their knowledge of current methods in control and signal processing of networked systems will also find this book valuable.

Stochastic Dynamic Programming and the Control of Queueing Systems

Author : Linn I. Sennott
Publisher : John Wiley & Sons
ISBN 13 : 9780471161202
Total Pages : 360 pages
Book Rating : 4.1/5 (612 download)

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Book Synopsis Stochastic Dynamic Programming and the Control of Queueing Systems by : Linn I. Sennott

Download or read book Stochastic Dynamic Programming and the Control of Queueing Systems written by Linn I. Sennott and published by John Wiley & Sons. This book was released on 1998-09-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eine Zusammenstellung der Grundlagen der stochastischen dynamischen Programmierung (auch als Markov-Entscheidungsprozeß oder Markov-Ketten bekannt), deren Schwerpunkt auf der Anwendung der Queueing-Theorie liegt. Theoretische und programmtechnische Aspekte werden sinnvoll verknüpft; insgesamt neun numerische Programme zur Queueing-Steuerung werden im Text ausführlich diskutiert. Ergänzendes Material kann vom zugehörigen ftp-Server abgerufen werden. (12/98)

Networked Control Under Communication Constraints

Author : Kun Liu
Publisher : Springer Nature
ISBN 13 : 9811542309
Total Pages : 268 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Networked Control Under Communication Constraints by : Kun Liu

Download or read book Networked Control Under Communication Constraints written by Kun Liu and published by Springer Nature. This book was released on 2020-04-27 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a time-delay approach to the analysis and synthesis of networked control systems (NCSs) under communication constraints. Differently from other approaches, the time-delay approach to NCSs allows communication delays to be larger than the sampling intervals in the presence of scheduling protocols. The book starts from a comprehensive introduction to three main approaches to sampled-data and networked control. It then focuses on time-delay approach, and the modelling of the closed-loop systems in the form of time-delay system. It presents discontinuous (in time) Lyapunov functional constructions that are efficient for NCSs in the presence of communications delays. Further, it highlights time-delay approaches developed to model and analyze NCSs under communication constraints, with a particular focus on dynamic quantization, round-robin, try-once-discard and stochastic protocols. The results are first presented for the continuous-time NCSs and then extended to discrete-time NCSs. Discussing recent developments in Lyapunov-based analysis of NCSs under communication constraints, the book is a valuable resource for researchers interested in sampled-data and networked control, and time-delay systems, as well as for graduate students in automatic control and systems theory.

Optimal and Robust Scheduling for Networked Control Systems

Author : Stefano Longo
Publisher : CRC Press
ISBN 13 : 1466569557
Total Pages : 277 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Optimal and Robust Scheduling for Networked Control Systems by : Stefano Longo

Download or read book Optimal and Robust Scheduling for Networked Control Systems written by Stefano Longo and published by CRC Press. This book was released on 2018-09-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system. Technical Results, Design Techniques, and Practical Applications The book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system. Practical Solutions to Your Time-Triggered Communication Problems This unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.

Communication Networks

Author : R. Srikant
Publisher : Cambridge University Press
ISBN 13 : 1107036054
Total Pages : 365 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Communication Networks by : R. Srikant

Download or read book Communication Networks written by R. Srikant and published by Cambridge University Press. This book was released on 2014 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern mathematical approach to the design of communication networks for graduate students, blending control, optimization, and stochastic network theories alongside a broad range of performance analysis tools. Practical applications are illustrated by making connections to network algorithms and protocols. End-of-chapter problems covering a range of difficulties support student learning.