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Performance Oriented Distributed Control Design For Interconnected Systems
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Book Synopsis Computational Intelligence and Optimization Methods for Control Engineering by : Maude Josée Blondin
Download or read book Computational Intelligence and Optimization Methods for Control Engineering written by Maude Josée Blondin and published by Springer Nature. This book was released on 2019-09-20 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.
Book Synopsis Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control by : Jianglong Yu
Download or read book Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control written by Jianglong Yu and published by Springer Nature. This book was released on with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Large-Scale Fuzzy Interconnected Control Systems Design and Analysis by : Zhong, Zhixiong
Download or read book Large-Scale Fuzzy Interconnected Control Systems Design and Analysis written by Zhong, Zhixiong and published by IGI Global. This book was released on 2017-05-17 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large-scale interconnected systems have become more prominent in society due to a higher demand for sustainable development. As such, it is imperative to create effective methods and techniques to control such systems. Large-Scale Fuzzy Interconnected Control Systems Design and Analysis is an innovative source of academic research that discusses the latest approaches to control large-scale systems, and the challenges that occur when implementing them. Highlighting a critical range of topics such as system stability, system stabilization, and fuzzy rules, this book is an ideal publication for engineers, researchers, academics, graduate students, and practitioners interested in the design of large-scale interconnected systems.
Book Synopsis Self-organizing control of networked systems by : René Schuh
Download or read book Self-organizing control of networked systems written by René Schuh and published by Logos Verlag Berlin GmbH. This book was released on 2017-08-27 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a novel distributed control paradigm for networked control systems in which the local control units of the subsystems exchange information, whenever this is necessary to fulfill an overall control aim. The local control units act in a self-organized way, which means that they adapt their communication structure depending on the current situation of the subsystems based on locally available information only. A new controller structure is proposed. The local control units are divided into three components fulfilling universal tasks to generate a situation-dependent communication structure: The feedback unit performs a local feedback by using local measurements to fulfill basic performance requirements. The observation unit detects the current situation of the subsystem by evaluating locally available information. The decision unit decides about the transmission of information from the corresponding subsystem to other local control units. Two self-organizing controllers for physically interconnected systems in which the local control units adapt the communication among each other depending on the current disturbances are introduced. Furthermore, three novel self-organizing controllers for synchronizing multi-agent systems within leader-follower structures by adapting the communication structure to situations like set-point changes, disturbances and communication faults are proposed. The concepts are applied in order to control a water supply system and a robot formation.
Book Synopsis Distributed Model Predictive Control Made Easy by : José M. Maestre
Download or read book Distributed Model Predictive Control Made Easy written by José M. Maestre and published by Springer Science & Business Media. This book was released on 2013-11-10 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.
Book Synopsis Optimal Event-Triggered Control Using Adaptive Dynamic Programming by : Sarangapani Jagannathan
Download or read book Optimal Event-Triggered Control Using Adaptive Dynamic Programming written by Sarangapani Jagannathan and published by CRC Press. This book was released on 2024-06-21 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Event-triggered Control using Adaptive Dynamic Programming discusses event triggered controller design which includes optimal control and event sampling design for linear and nonlinear dynamic systems including networked control systems (NCS) when the system dynamics are both known and uncertain. The NCS are a first step to realize cyber-physical systems (CPS) or industry 4.0 vision. The authors apply several powerful modern control techniques to the design of event-triggered controllers and derive event-trigger condition and demonstrate closed-loop stability. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB® codes are included for each case. The book begins by providing background on linear and nonlinear systems, NCS, networked imperfections, distributed systems, adaptive dynamic programming and optimal control, stability theory, and optimal adaptive event-triggered controller design in continuous-time and discrete-time for linear, nonlinear and distributed systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for infinite horizons. The text then: Introduces event triggered control of linear and nonlinear systems, describing the design of adaptive controllers for them Presents neural network-based optimal adaptive control and game theoretic formulation of linear and nonlinear systems enclosed by a communication network Addresses the stochastic optimal control of linear and nonlinear NCS by using neuro dynamic programming Explores optimal adaptive design for nonlinear two-player zero-sum games under communication constraints to solve optimal policy and event trigger condition Treats an event-sampled distributed linear and nonlinear systems to minimize transmission of state and control signals within the feedback loop via the communication network Covers several examples along the way and provides applications of event triggered control of robot manipulators, UAV and distributed joint optimal network scheduling and control design for wireless NCS/CPS in order to realize industry 4.0 vision An ideal textbook for senior undergraduate students, graduate students, university researchers, and practicing engineers, Optimal Event Triggered Control Design using Adaptive Dynamic Programming instills a solid understanding of neural network-based optimal controllers under event-sampling and how to build them so as to attain CPS or Industry 4.0 vision.
Book Synopsis Cooperative Control of Networked Vehicles by : Alexander Schwab
Download or read book Cooperative Control of Networked Vehicles written by Alexander Schwab and published by Logos Verlag Berlin GmbH. This book was released on 2022-08-29 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis concerns the cooperative control of networked vehicles. Autonomous driving is a topic that is currently being discussed with great interest from researchers, vehicle manufacturers and the corresponding media. Future autonomous vehicles should bring the passengers to their desired destination while improving both safety and efficiency compared to current human-driven vehicles. The inherent problem of all vehicle coordination tasks is to guarantee collision avoidance in every situation. To this end, autonomous vehicles have to share information with each other in order to perform traffic manoeuvres that require the cooperation of multiple vehicles. The fundamental problem of vehicle platooning is studied extensively which describes the task of arranging a set of vehicles so that they drive with a common velocity and a prescribed distance. Local design objectives are derived that have to be satisfied by the vehicle controllers. In particular, it is shown that the vehicles have to be externally positive to achieve collision avoidance. As an abstraction from real traffic scenarios, swarms of networked vehicles are considered. The main difference between swarming and traffic problems is that a communication structure that has been appropriate in the beginning might become unsuited for the control task due to the relative movement of the vehicles. To solve this problem, this thesis proposes to use the Delaunay triangulation as a switching communication structure.
Book Synopsis Distributed Model Predictive Control with Event-Based Communication by : Groß, Dominic
Download or read book Distributed Model Predictive Control with Event-Based Communication written by Groß, Dominic and published by kassel university press GmbH. This book was released on 2015-02-25 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, several algorithms for distributed model predictive control over digital communication networks with parallel computation are developed and analyzed. Distributed control aims at efficiently controlling large scale dynamical systems which consist of interconnected dynamical systems by means of communicating local controllers. Such distributed control problems arise in applications such as chemical processes, formation control, and control of power grids. In distributed model predictive control the underlying idea is to solve a large scale model predictive control problem in a distributed fashion in order to achieve faster computation and better robustness against local failures. Distributed model predictive control often heavily relies on frequent communication between the local model predictive controllers. However, a digital communication network may induce uncertainties such as a communication delays, especially if the load on the communication network is high. One topic of this thesis is to develop a distributed model predictive control algorithm for subsystems interconnected by constraints and common control goals which is robust with respect to time-varying communication delays.
Book Synopsis Plug-and-play control of interconnected systems by : Sven Bodenburg
Download or read book Plug-and-play control of interconnected systems written by Sven Bodenburg and published by Logos Verlag Berlin GmbH. This book was released on 2017 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the networked control of interconnected systems, the communication network is primarily used for the exchange of measurements amongst the control stations. Plug-and-play control extends the usage of this network towards the exchange of models with the aim to automatically design control stations at runtime. Therefore, every subsystem is equipped with a design agent that initially knows only the model of its subsystem. To design a control station by a design agent, first, a suitable model of the subsystem that interacts with other subsystems has to be set up. Second, local design conditions have to be found that guarantee the adherence of the global control aim. If the designed control station is finally plugged into the control equipment, the overall closed-loop system plays as desired. The focus of this thesis is to enable the design agent to accomplish the controller design. Therefore, three approaches are proposed which focus on the accuracy of the model that is used for the design with respect to the achievable overall closed-loop performance. The main result is a novel concept for the self-organised controller design by means of design agents. This concept is applied to achieve fault tolerance and to integrate new subsystems. The proposed methods are tested and evaluated through simulations and experiments on a thermofluid process and a multizone furnace.
Book Synopsis Connected Vehicular Systems by : Ge Guo
Download or read book Connected Vehicular Systems written by Ge Guo and published by John Wiley & Sons. This book was released on 2023-10-24 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Framework for the analysis and design of connected vehicle systems, featuring numerous simulations, experimental studies, and problem-solving approaches Connected Vehicular Systems synthesizes the research advances of the past decade to provide readers with practical tools to analyze and design all aspects of connected autonomous vehicle systems, addressing a series of major issues and challenges in autonomous connected vehicles and transportation systems, such as sensing, communication, control design and command actuating. The text provides direct methodologies for solving important problems such as speed planning, cooperative adaptive cruise control, platooning, and string traffic flow stability, with numerous simulations and experimental studies with detailed skills for implementing algorithms and parameter settings. To help the reader better understand and implement the content, the text includes a variety of worked examples throughout, including those related to car following, vehicular platooning problem, string stability, cooperative adaptive cruise control, and vehicular communications. Written by two highly qualified academics with significant experience in the field, Connected Vehicular Systems includes information on: Varying communication ranges, interruptions, and topologies, along with controls for event-triggered communication Fault-tolerant and adaptive fault-tolerant controls with actuator saturation, input quantization, and dead-zone nonlinearity Prescribed performance concurrent controls, adaptive sliding mode controls, and speed planning for various scenarios, such as to reduce inter-vehicle spacing Control paradigms aimed at relaxing communications constraints and optimizing system performance Detailed algorithms and parameter settings that readers can implement in their own work to drive progress in the field Connected Vehicular Systems is an essential resource on the subject for mechanical and automotive engineers and researchers involved with the design and development of self-driving cars and intelligent transportation systems, along with graduate students in courses that cover vehicle controls within the context of control systems or vehicular systems engineering.
Book Synopsis An Introduction to Data-Driven Control Systems by : Ali Khaki-Sedigh
Download or read book An Introduction to Data-Driven Control Systems written by Ali Khaki-Sedigh and published by John Wiley & Sons. This book was released on 2023-12-19 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.
Book Synopsis Distributed Control of Complex Interconnected Systems by : Cédric Langbort
Download or read book Distributed Control of Complex Interconnected Systems written by Cédric Langbort and published by . This book was released on 2005 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models by : Zsófia Lendek
Download or read book Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models written by Zsófia Lendek and published by Springer. This book was released on 2010-11-26 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system
Book Synopsis Components and Instruments for Distributed Control Systems by : Z. Binder
Download or read book Components and Instruments for Distributed Control Systems written by Z. Binder and published by Elsevier. This book was released on 2014-05-17 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Components and Instruments for Distributed Control Systems provides a conceptual framework for organizing the elements of the distributed system for integration of the many diverse information processing, decision-making, and control functions that are involved in a total plant control. With the enormous progress in micro-electronics that has taken place over the past years, intelligent instruments can now be created that integrate processing once reserved for calculators. This book notes that the development of distributed micro-computing systems is linked to this progress, and their use in industry and in service areas is becoming more and more widespread. This text also emphasizes that great progress has also been made in the design of sensors and other components in the automatic control chain. This book is a useful reference for students and individuals studying instrument development and its use in distributed control.
Book Synopsis Model Free Adaptive Control by : Zhongsheng Hou
Download or read book Model Free Adaptive Control written by Zhongsheng Hou and published by CRC Press. This book was released on 2013-09-24 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design. The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.
Download or read book Applied Mechanics Reviews written by and published by . This book was released on 1988 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonlinear Control of Dynamic Networks by : Tengfei Liu
Download or read book Nonlinear Control of Dynamic Networks written by Tengfei Liu and published by CRC Press. This book was released on 2018-09-03 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses. Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networks Offers a cyclic-small-gain framework for nonlinear control with static or dynamic quantization Contains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noise Presents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topology Based on the authors’ recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.
