Robust Control for Uncertain Networked Control Systems with Random Delays PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Robust Control for Uncertain Networked Control Systems with Random Delays PDF full book. Access full book title Robust Control for Uncertain Networked Control Systems with Random Delays by Dan Huang. Download full books in PDF and EPUB format.
Author: Dan Huang
Publisher: Springer Science & Business Media
ISBN: 1848826788
Category : Technology & Engineering
Languages : en
Pages : 159
Get Book Here
Book Description
"Robust Control for Uncertain Networked Control Systems with Random Delays" addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion. The random nature of the time delays is typical for commercially used networks, such as a DeviceNet (which is a controller area network) and Ethernet network. The main technique used in this book is based on the Lyapunov-Razumikhin method, which results in delay-dependent controllers. The existence of such controllers and fault estimators are given in terms of the solvability of bilinear matrix inequalities. Iterative algorithms are proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. Finally, to demonstrate the effectiveness and advantages of the proposed design method in the book, numerical examples are given in each designed control system.
Author: Dan Huang
Publisher: Springer Science & Business Media
ISBN: 1848826788
Category : Technology & Engineering
Languages : en
Pages : 159
Get Book Here
Book Description
"Robust Control for Uncertain Networked Control Systems with Random Delays" addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion. The random nature of the time delays is typical for commercially used networks, such as a DeviceNet (which is a controller area network) and Ethernet network. The main technique used in this book is based on the Lyapunov-Razumikhin method, which results in delay-dependent controllers. The existence of such controllers and fault estimators are given in terms of the solvability of bilinear matrix inequalities. Iterative algorithms are proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. Finally, to demonstrate the effectiveness and advantages of the proposed design method in the book, numerical examples are given in each designed control system.
Author: Dan Huang
Publisher: Springer
ISBN: 9781848826793
Category : Technology & Engineering
Languages : en
Pages : 168
Get Book Here
Book Description
"Robust Control for Uncertain Networked Control Systems with Random Delays" addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion. The random nature of the time delays is typical for commercially used networks, such as a DeviceNet (which is a controller area network) and Ethernet network. The main technique used in this book is based on the Lyapunov-Razumikhin method, which results in delay-dependent controllers. The existence of such controllers and fault estimators are given in terms of the solvability of bilinear matrix inequalities. Iterative algorithms are proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. Finally, to demonstrate the effectiveness and advantages of the proposed design method in the book, numerical examples are given in each designed control system.
Author: Niladri Sekhar Tripathy
Publisher: CRC Press
ISBN: 1000610659
Category : Technology & Engineering
Languages : en
Pages : 199
Get Book Here
Book Description
Controlling uncertain networked control system (NCS) with limited communication among subcomponents is a challenging task and event-based sampling helps resolve the issue. This book considers event-triggered scheme as a transmission protocol to negotiate information exchange in resilient control for NCS via a robust control algorithm to regulate the closed loop behavior of NCS in the presence of mismatched uncertainty with limited feedback information. It includes robust control algorithm for linear and nonlinear systems with verification. Features: Describes optimal control based robust control law for event-triggered systems. States results in terms of Theorems and Lemmas supported with detailed proofs. Presents the combination of network interconnected systems and robust control strategy. Includes algorithmic steps for precise understanding of the control technique. Covers detailed problem statement and proposed solutions along with numerical examples. This book aims at Senior undergraduate, Graduate students, and Researchers in Control Engineering, Robotics and Signal Processing.
Author: Alexandre Seuret
Publisher: Springer
ISBN: 3319323725
Category : Technology & Engineering
Languages : en
Pages : 272
Get Book Here
Book Description
This edited monograph includes state-of-the-art contributions on continuous time dynamical networks with delays. The book is divided into four parts. The first part presents tools and methods for the analysis of time-delay systems with a particular attention on control problems of large scale or infinite-dimensional systems with delays. The second part of the book is dedicated to the use of time-delay models for the analysis and design of Networked Control Systems. The third part of the book focuses on the analysis and design of systems with asynchronous sampling intervals which occur in Networked Control Systems. The last part of the book exposes several contributions dealing with the design of cooperative control and observation laws for networked control systems. The target audience primarily comprises researchers and experts in the field of control theory, but the book may also be beneficial for graduate students.
Author: Stefano Longo
Publisher: CRC Press
ISBN: 1466569549
Category : Technology & Engineering
Languages : en
Pages : 280
Get Book Here
Book Description
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.
Author: Jinhui Zhang
Publisher: CRC Press
ISBN: 1000534324
Category : Technology & Engineering
Languages : en
Pages : 161
Get Book Here
Book Description
The insertion of communication networks in feedback control loops complicates analysis and synthesis of Cyber-Physical Systems (CPSs), and network-induced uncertainties may degrade system control performances. Thus, this book researches networked delay compensation and event-triggered control approaches for a series of CPSs subject to network-induced uncertainties. The authors begin with an introduction to the concepts and challenges of CPSs, followed by an overview of networked control approaches and event-triggered control strategies in CPSs. Then, networked delay compensation and event-triggered control approaches are proposed for CPSs with network communication delay, data dropout, signal quantization and event-triggered communication. More specifically, networked delay compensation approaches are proposed for linear/nonlinear networked controlled plant with time-varying and random network communication delays and data dropouts. To reduce computational burden and network communication loads in CPSs, event-triggered control, self-triggered control, co-design of event-triggered control and quantized control techniques, and event-triggered disturbance rejection control approaches are also presented. This book is an essential text for researchers and engineers interested in cybersecurity, networked control, and CPS. It would also prove useful for graduate students in the fields of science, engineering, and computer science.
Author: Moises Rivas-Lopez
Publisher: BoD – Books on Demand
ISBN: 9535124234
Category : Mathematics
Languages : en
Pages : 176
Get Book Here
Book Description
The need to be tolerant to changes in the control systems or in the operational environment of systems subject to unknown disturbances has generated new control methods that are able to deal with the non-parametrized disturbances of systems, without adapting itself to the system uncertainty but rather providing stability in the presence of errors bound in a model. With this approach in mind and with the intention to exemplify robust control applications, this book includes selected chapters that describe models of H-infinity loop, robust stability and uncertainty, among others. Each robust control method and model discussed in this book is illustrated by a relevant example that serves as an overview of the theoretical and practical method in robust control.
Author: Seunghwan Chae
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 177
Get Book Here
Book Description
Networked control systems (NCSs) refer to a class of systems where the components such as plants, sensors, actuators and controllers are connected via a communication network. This configuration provides several advantages over the traditional point-topoint structure such as modularity, ease of maintenance and low construction cost. NCSs enable several practical applications such as unmanned aerial vehicle and remote control of the plant, which are difficult to achieve with the traditional point-to-point structure. The presence of network inevitably, however, introduces delays and data loss as signals travel through the network, meaning that the controllers in NCSs are to stabilize the system while overcoming the adverse effects caused by the presence of the network. As continuous signals are transmitted via a network, they are converted to clusters of data called packets and these packets of data are transmitted through the network. Hence, it is natural to consider the plant and the controller in discrete-time domain where new information about the systems components are available at each sampling instance. In this thesis, discrete-time representation of the plant is considered and the controller/filter design methodologies are developed based on Lyapunov-Krasovskii functional. The focus of the research is to develop controller and filter design methodologies for NCSs which takes the aforementioned network constraints into account. Hence the network needs to be modelled and taken into consideration when designing the controller/ filter. In particular, a finite state Markov chain is used in this research to model the network-induced delays and data loss where each mode in the Markov chain corresponds to the delays in the network. Difficulties of obtaining a completely known transition probability matrix, which describes the transitions between the modes of the Markov chain, in real world is acknowledged in this research and some of the elements in the transition probability matrix are allowed to be unknown. In this thesis, a robust H1 state feedback controller design for linear and nonlinear NCSs are first developed where the transition probability matrix of the Markov chain is assumed to be completely known. Based on theses methodologies, robust H1 state feedback controller, robust H1 filter and robust H1 dynamic output feedback controller design methodologies for NCSs are presented where the transition probability matrix is allowed to be partially known. It is shown that the case with either completely known or unknown transition probability matrix can be considered as a special case of the presented approaches. Study of nonlinear systems is important as every real system contains nonlinearities. Takagi-Sugeno (T-S) fuzzy model has been shown to be effective in modelling nonlinear systems which describes a global nonlinear system with a series of local linear models blended using membership functions. In this thesis, robust fuzzy H1 state feedback, robust fuzzy H1 filter and robust fuzzy H1 dynamic output feedback controller design are considered where the nonlinear NCSs are described by T-S fuzzy model, with main focus on partially known transition probability matrix in the Markov chain. Special attention is given to premise variables of the plant to correctly model NCSs where there exists a network between the plant and the controller. It has been addressed that many existing literature on nonlinear NCSs modelled by T-S fuzzy model fail to acknowledge this issue, making the existing approaches impractical. Furthermore, a methodology to incorporate membership functions into the controller/filter designs via sum-of-squares approach is presented to ensure that the controller is specific for the membership functions of the system. This has not been considered in existing studies of nonlinear NCSs, making the existing results conservative as the controllers are valid for any shape of membership functions. Iterative algorithms to convert nonconvex problems into optimization problems are also presented so that existing mathematical tools can be used to obtain a controller/filter. Finally, the effectiveness of the proposed design methodologies are demonstrated using numerical examples in this thesis. The simulation results show that the proposed design methodologies achieve the prescribed performance requirements. Comparisons with existing methodologies without considering membership functions are made for robust fuzzy H1 state feedback controller and robust fuzzy H1 dynamic output feedback controller to illustrate that incorporating membership functions results a larger stabilization region, demonstrating the advantage of the presented methodologies.
Author: Domagoj Tolić
Publisher: CRC Press
ISBN: 1315350904
Category : Technology & Engineering
Languages : en
Pages : 218
Get Book Here
Book Description
Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers is realized by a shared (wired or wireless) communication network. NCSs offer several advantages, such as reduced installation and maintenance costs, as well as greater flexibility, over conventional control systems in which parts of control loops exchange information via dedicated point-to-point connections. The principal goal of this book is to present a coherent and versatile framework applicable to various settings investigated by the authors over the last several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with delayed dynamics; a large class of static, dynamic, probabilistic and priority-oriented scheduling protocols; delayed, noisy, lossy and intermittent information exchange; decentralized control problems of heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies; state- and output-feedback; off-line and on-line intermittent feedback; optimal intermittent feedback through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL); and control systems with exogenous disturbances and modeling uncertainties.
Author: Serdar Yüksel
Publisher: Springer Science & Business Media
ISBN: 1461470854
Category : Mathematics
Languages : en
Pages : 491
Get Book Here
Book Description
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.
