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Robust Distributed Control Of Networked Systems With Linear Programming Objectives
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Book Synopsis Robust Distributed Control of Networked Systems with Linear Programming Objectives by : Dean Richert (M.)
Download or read book Robust Distributed Control of Networked Systems with Linear Programming Objectives written by Dean Richert (M.) and published by . This book was released on 2014 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pervasiveness of networked systems in modern engineering problems has stimulated the recent research activity in distributed control. Under this paradigm, individual agents, having access to partial information and subject to real-world disturbances, locally interact to achieve a common goal. Here, we consider network objectives formulated as a linear program where the individual agents' states correspond to components of the decision vector in the optimization problem. To this end, the first contribution we make is the development of a robust distributed continuous-time dynamics to solve linear programs. We systematically argue that the robustness properties we establish for this dynamics are as strong as can be expected for linear programming algorithms. The next contribution we make is the design of a distributed event-triggered communication protocol for the aforementioned algorithm. We establish various state-based rules for agents to determine when they should broadcast their state, allowing us to relax the need for continual information flow between agents. Turning our attention to a specific network control problem for which our algorithm can be applied, we consider distributed bargaining in exchange networks. In this scenario, agents autonomously form coalitions of size two (called a match) and agree on how to split a payoff between them. We emphasize fair and stable bargaining outcomes, whereby matched agents benefit equally from the collaboration and cannot improve their allocation by unilaterally deviating from the outcome. We synthesize distributed algorithms that converge to such outcomes. Finally, we focus on cooperation-inducing mechanisms to ensure that agents in a bargaining outcome effectively realize the payoff they were promised. As an illustrative example, we study how to allocate the leader role in unmanned aerial vehicle (UAV) formation pairs. We show how agents can strategically decide when to switch from leading to following in the formation to ensure that the other UAV cooperates. Throughout the thesis, we emphasize the development of provably correct algorithms, making use of tools from the controls systems community such as Lyapunov analysis and the Invariance Principle. Simulations in distributed optimal control, multi-agent task assignment, channel access control in wireless communication networks, and UAV formations illustrate our results.
Book Synopsis Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems by : Huiping Li
Download or read book Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems written by Huiping Li and published by Springer. This book was released on 2016-10-22 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive, easy-to-understand overview of receding-horizon control for nonlinear networks. It presents novel general strategies that can simultaneously handle general nonlinear dynamics, system constraints, and disturbances arising in networked and large-scale systems and which can be widely applied. These receding-horizon-control-based strategies can achieve sub-optimal control performance while ensuring closed-loop stability: a feature attractive to engineers. The authors address the problems of networked and distributed control step-by-step, gradually increasing the level of challenge presented. The book first introduces the state-feedback control problems of nonlinear networked systems and then studies output feedback control problems. For large-scale nonlinear systems, disturbance is considered first, then communication delay separately, and lastly the simultaneous combination of delays and disturbances. Each chapter of this easy-to-follow book not only proposes and analyzes novel control algorithms and/or strategies, but also rigorously develops provably correct design conditions. It also provides concise, illustrative examples to demonstrate the implementation procedure, making it invaluable both for academic researchers and engineering practitioners.
Book Synopsis Asynchronous Control for Networked Systems by : María Guinaldo Losada
Download or read book Asynchronous Control for Networked Systems written by María Guinaldo Losada and published by Springer. This book was released on 2015-09-08 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sheds light on networked control systems; it describes different techniques for asynchronous control, moving away from the periodic actions of classical control, replacing them with state-based decisions and reducing the frequency with which communication between subsystems is required. The text focuses specially on event-based control. Split into two parts, Asynchronous Control for Networked Systems begins by addressing the problems of single-loop networked control systems, laying out various solutions which include two alternative model-based control schemes (anticipatory and predictive) and the use of H2/H∞ robust control to deal with network delays and packet losses. Results on self-triggering and send-on-delta sampling are presented to reduce the need for feedback in the loop. In Part II, the authors present solutions for distributed estimation and control. They deal first with reliable networks and then extend their results to scenarios in which delays and packet losses may occur. The novel results presented in Asynchronous Control for Networked Systems are transmitted in a concise and clear style supported by simulation and experimental examples. Some applications are also provided. Academic researchers and graduate students investigating control theory, control engineering and computer communications systems can use this monograph to learn how asynchronous control helps tackle the problems of networked systems in centralized and distributed schemes. Control practitioners at work in power systems, vehicle coordination and traffic networks will also find this book helpful in improving the performance of their systems.
Book Synopsis Robust Distributed Control of Constrained Linear Systems by :
Download or read book Robust Distributed Control of Constrained Linear Systems written by and published by . This book was released on 2009 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Networked Control Systems by : Alberto Bemporad
Download or read book Networked Control Systems written by Alberto Bemporad and published by Springer. This book was released on 2010-10-15 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.
Book Synopsis Model-Based Control of Networked Systems by : Eloy Garcia
Download or read book Model-Based Control of Networked Systems written by Eloy Garcia and published by Springer. This book was released on 2014-08-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.
Author :Christodoulos A. Floudas Publisher :Springer Science & Business Media ISBN 13 :0387747583 Total Pages :4646 pages Book Rating :4.3/5 (877 download)
Book Synopsis Encyclopedia of Optimization by : Christodoulos A. Floudas
Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".
Book Synopsis Networked and Distributed Predictive Control by : Panagiotis D. Christofides
Download or read book Networked and Distributed Predictive Control written by Panagiotis D. Christofides and published by Springer. This book was released on 2013-05-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: • new techniques for networked and distributed control system design; • insight into issues associated with networked and distributed predictive control and their solution; • detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and • integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book’s methods in greater depth.
Book Synopsis Distributed Control and Filtering for Industrial Systems by : Magdi S. Mahmoud
Download or read book Distributed Control and Filtering for Industrial Systems written by Magdi S. Mahmoud and published by IET. This book was released on 2013 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years technological advancements in the design and fabrication of integrated circuits have led to the development of cost effective, low power, thumb-size devices that can be used for sensing/actuating, communication and computing. This trend is enabling a surge of new applications for which pervasive network architectures are being developed. A key feature of these systems is that they are decentralized and communication among different subsystems may be unreliable. From an engineering viewpoint, to ensure correct operation, the theoretical analysis requires a fundamental paradigm shift, as many of the typical assumptions of systems and control theory cease to hold.
Book Synopsis Distributed Cooperative Model Predictive Control of Networked Systems by : Yuanyuan Zou
Download or read book Distributed Cooperative Model Predictive Control of Networked Systems written by Yuanyuan Zou and published by Springer Nature. This book was released on 2022-10-03 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
Book Synopsis Submodularity in Dynamics and Control of Networked Systems by : Andrew Clark
Download or read book Submodularity in Dynamics and Control of Networked Systems written by Andrew Clark and published by Springer. This book was released on 2015-12-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems. In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems. The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.
Book Synopsis Robust Tracking Control and Signal Estimation for Networked Control Systems by : Hui Zhang
Download or read book Robust Tracking Control and Signal Estimation for Networked Control Systems written by Hui Zhang and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked control systems (NCSs) are known as distributed control systems (DCSs) which are based on traditional feedback control systems but closed via a real-time communication channel. In an NCS, the control and feedback signals are exchanged among the system's components in the form of information packages through the communication channel. The research of NCSs is important from the application perspective due to the significant advantages over the traditional point-to-point control. However, the insertion of the communication links would also bring challenges and constraints such as the network-induced delays, the missing packets, and the inter symbol interference (ISI) into the system design. In order to tackle these issues and move a step further toward industry applications, two important design problems are investigated in the control areas: Tracking Control (Chapter 2? Chapter 5) and Signal Estimation (Chapter 6? Chapter 8). With the fact that more than 90% of control loops in industry are controlled by proportional-integral-derivative (PID) controllers, the first work in this thesis aims to propose the design algorithm on PID controllers for NCSs. Such a design will not require the change or update of the existing industrial hardware, and it will enjoy the advantages of the NCSs. The second motivation is that, due to the network-induced constraints, there is no any existing work on tuning the PID gains for a general NCS with a state-space model. In Chapter 2, the PID tracking control for multi-variable NCSs subject to time-varying delays and packet dropouts is exploited. The H_infty control is employed to attenuate the load disturbance and the measurement noise. In Chapter 3, the probabilistic delay model is used to design the delay-scheduling tracking controllers for NCSs. The tracking control strategy consists of two parts:(1) the feedforward control can enhance the transient response, and (2) the feedback control is the digital PID control. In order to compensate for the delays on both communication links, the predictive control scheme is adopted. To make full use of the delay information, it is better to use the Markov chain to model the network-induced delays and the missing packets. A common assumption on the Markov chain model in the literature is that the probability transition matrix is precisely known. However, the assumption may not hold any more when the delay is time-varying in a large set and the statistics information on the delays is inadequate. In Chapter 4, it is assumed that the transition matrices are with partially unknown elements. An observer-based robust energy-to-peak tracking controller is designed for the NCSs. In Chapter 5, the step tracking control problem for the nonlinear NCSs is investigated. The nonlinear plant is represented by Takagi-Sugeno (T-S) fuzzy linear model. The control strategy is a modified PI control. With an augmentation technique, the tracking controller design problem is converted into an H_infty optimization problem. The controller parameters can be obtained by solving non-iterative linear matrix inequality conditions. The state estimation problem for networked systems is explored in Chapter 6. At the sensor node, the phenomenon of multiple intermittent measurements is considered for a harsh sensing environment. It is assumed that the network-induced delay is time-varying within a bounded interval. To deal with the delayed external input and the non-delayed external input, a weighted H_infty performance is defined ...
Book Synopsis Robust Optimal Planning and Operation of Electrical Energy Systems by : Behnam Mohammadi-ivatloo
Download or read book Robust Optimal Planning and Operation of Electrical Energy Systems written by Behnam Mohammadi-ivatloo and published by Springer. This book was released on 2019-02-06 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are included to help undergraduate and graduate students, researchers and engineers solve robust power and energy optimization problems and provide effective and promising solutions for the robust planning and operation of electric energy systems.
Book Synopsis Reconfigurable Distributed Control by : hector benitez
Download or read book Reconfigurable Distributed Control written by hector benitez and published by Springer. This book was released on 2009-10-12 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This informative monograph helps meet the challenge of applying distributed control to dynamical systems. It shows readers how to bring the best parts of various control paradigms to bear in making distributed control more flexible and responsive.
Book Synopsis Multi-Objective Optimization System Designs and Their Applications by : Bor-Sen Chen
Download or read book Multi-Objective Optimization System Designs and Their Applications written by Bor-Sen Chen and published by CRC Press. This book was released on 2023-12-05 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples. Features: Discusses multi-objective optimization from an engineer’s perspective Contains the theoretical design methods of multi-objective optimization schemes Includes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problems Covers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forth Explores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systems This book is aimed at researchers and graduate students in electrical engineering, control design, and optimization.
Book Synopsis Networked Control Systems by : Fei-Yue Wang
Download or read book Networked Control Systems written by Fei-Yue Wang and published by Springer. This book was released on 2009-08-29 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS. The applications of NCS range from the large scale of factory automation and plant monitoring to the smaller networks of computers in modern cars, places and autonomous robots. Networked Control Systems presents recent results in stability and robustness analysis and new developments related to networked fuzzy and optimal control. Many chapters contain case-studies, experimental, simulation or other application-related work showing how the theories put forward can be implemented. The state-of-the art research reported in this volume by an international team of contributors makes it an essential reference for researchers and postgraduate students in control, electrical, computer and mechanical engineering and computer science.
Book Synopsis Control and Optimization Methods for Complex System Resilience by : Chao Zhai
Download or read book Control and Optimization Methods for Complex System Resilience written by Chao Zhai and published by Springer Nature. This book was released on 2023-06-26 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic framework to enhance the ability of complex dynamical systems in risk identification, security assessment, system protection, and recovery with the assistance of advanced control and optimization technologies. By treating external disturbances as control inputs, optimal control approach is employed to identify disruptive disturbances, and online security assessment is conducted with Gaussian process and converse Lyapunov function. Model predictive approach and distributed optimization strategy are adopted to protect the complex system against critical contingencies. Moreover, the reinforcement learning method ensures the efficient restoration of complex systems from severe disruptions. This book is meant to be read and studied by researchers and graduates. It offers unique insights and practical methodology into designing and analyzing complex dynamical systems for resilience elevation.
