[PDF] Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems - eBooks Review

Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems


Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems
DOWNLOAD

Download Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems


Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems
DOWNLOAD
Author : Olubusola Olufunke Nuga
language : en
Publisher:
Release Date : 2019

Quantized Consensus Control Of Nonlinear Discrete Time Multi Agent Systems written by Olubusola Olufunke Nuga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.




Retracted Book Control Design Of Multiagent Discrete Time Systems


Retracted Book Control Design Of Multiagent Discrete Time Systems
DOWNLOAD
Author : MagdiSadek Mahmoud
language : en
Publisher: Springer Nature
Release Date : 2022-03-16

Retracted Book Control Design Of Multiagent Discrete Time Systems written by MagdiSadek Mahmoud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-16 with Technology & Engineering categories.


This book describes an effective approach to the cooperative and coordinated control of multivehicle systems. This rigorous analytic approach guarantees the stability of coordinated and cooperating vehicles using distributed protocols and uses low-energy, event-triggered mechanisms for networked vehicle control. The text covers: design of a cooperative protocol to achieve consensus for multivehicle systems, allowing cooperation that is resistant to the effects of packet loss and/or adversarial attack; analysis and synthesis of an event-triggering mechanism for cooperative multivehicle systems over uncertain networks; and the problem of distributed leader-following consensus and methods for compelling multivehicle systems to reach consensus. Throughout the book, cooperation problems are transformed into stability problems. Lyapunov theory is used to guarantee cooperation among agents. The distributed approach is applied to triggering mechanisms, the cooperation process, and the impact of cyber-attacks. Discrete-time analysis shows how the event-based structure can be designed to match the performance of continuous-time counterparts. The book details applications and computer simulation with several practical examples. This book is of interest to a wide audience from the graduate student, through the academic researcher to the industrial practitioner, all of them sharing a common interest in the stability and security of multiagent systems.



Intelligent Control Of Nonlinear Systems And Nonlinear Multi Agent Systems With Complex Constraints


Intelligent Control Of Nonlinear Systems And Nonlinear Multi Agent Systems With Complex Constraints
DOWNLOAD
Author : Hongru Ren
language : en
Publisher: Springer Nature
Release Date : 2025-01-27

Intelligent Control Of Nonlinear Systems And Nonlinear Multi Agent Systems With Complex Constraints written by Hongru Ren and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Technology & Engineering categories.


This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications. The book rigorously provides problem analysis, controller design, and stability theory. In addition, numerous simulation examples are given to demonstrate the validity of the corresponding intelligent control methods, and the simulation results are illustrated in detail with graphs and tables. The methods proposed in this book eliminate some limitations of existing control methods in nonlinear systems and nonlinear multiagent systems with complex constraints and broaden the practical applications of intelligent control methods in industrial automation.



Control Of Nonlinear Systems


Control Of Nonlinear Systems
DOWNLOAD
Author : Yongduan Song
language : en
Publisher: CRC Press
Release Date : 2024-08-14

Control Of Nonlinear Systems written by Yongduan Song and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Technology & Engineering categories.


The book Control of Nonlinear Systems–Stability and Performance fills a crucial gap in the field of nonlinear control systems by providing a comprehensive yet accessible treatment of the subject. Unlike many existing texts that are either too complex for beginners or omit essential topics, this book strikes the right balance of mathematical rigor and practicality. The main objective of the book is to simplify and unify the existing techniques for designing and analyzing control systems for nonlinear systems. It aims to alleviate confusion and difficulty in understanding these methods, making it an invaluable resource for students, researchers, and practitioners in the field. By presenting the material in a tutorial manner, the book enhances the reader's understanding of the design and analysis of a wide range of control methods for nonlinear systems. The emphasis on stability and performance highlights the practical relevance of the concepts discussed in the book. Overall, Control of Nonlinear Systems–Stability and Performance is a valuable contribution to the field of nonlinear control systems. Its emphasis on practical applications and its accessible presentation make it an indispensable resource for engineers seeking to enhance their knowledge and skills in this important area of control theory.



Distributed Adaptive Consensus Control Of Uncertain Multi Agent Systems


Distributed Adaptive Consensus Control Of Uncertain Multi Agent Systems
DOWNLOAD
Author : Wei Wang
language : en
Publisher: CRC Press
Release Date : 2024-08-15

Distributed Adaptive Consensus Control Of Uncertain Multi Agent Systems written by Wei Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-15 with Technology & Engineering categories.


Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties. Based on the basic graph theory and adaptive backstepping control, this monograph: · Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control · Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers · Explores adaptive finite-time consensus for uncertain nonlinear systems · Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback · Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification · Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communication Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources.



Data Driven Iterative Learning Control For Discrete Time Systems


Data Driven Iterative Learning Control For Discrete Time Systems
DOWNLOAD
Author : Ronghu Chi
language : en
Publisher: Springer Nature
Release Date : 2022-11-15

Data Driven Iterative Learning Control For Discrete Time Systems written by Ronghu Chi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Technology & Engineering categories.


This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations. On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis. After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications. The readers can learn the recent progress on DDILC for complex systems in practical applications. This book is intended for academic scholars, engineers, and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.



Classical Feedback Control With Nonlinear Multi Loop Systems


Classical Feedback Control With Nonlinear Multi Loop Systems
DOWNLOAD
Author : Boris J. Lurie
language : en
Publisher: CRC Press
Release Date : 2019-08-02

Classical Feedback Control With Nonlinear Multi Loop Systems written by Boris J. Lurie and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Science categories.


Classical Feedback Control with Nonlinear Multi-Loop Systems describes the design of high-performance feedback control systems, emphasizing the frequency-domain approach widely used in practical engineering. It presents design methods for high-order nonlinear single- and multi-loop controllers with efficient analog and digital implementations. Bode integrals are employed to estimate the available system performance and to determine the ideal frequency responses that maximize the disturbance rejection and feedback bandwidth. Nonlinear dynamic compensators provide global stability and improve transient responses. This book serves as a unique text for an advanced course in control system engineering, and as a valuable reference for practicing engineers competing in today’s industrial environment.



Advanced Distributed Consensus For Multiagent Systems


Advanced Distributed Consensus For Multiagent Systems
DOWNLOAD
Author : Magdi S. Mahmoud
language : en
Publisher: Academic Press
Release Date : 2020-12-05

Advanced Distributed Consensus For Multiagent Systems written by Magdi S. Mahmoud and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-05 with Technology & Engineering categories.


Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments. Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent frameworks. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few. - Gathers together the theoretical preliminaries and fundamental issues related to multiagent systems and controls - Provides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systems - Presents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation



Cooperative Control Of Nonlinear Networked Systems


Cooperative Control Of Nonlinear Networked Systems
DOWNLOAD
Author : Yongduan Song
language : en
Publisher: Springer
Release Date : 2019-01-01

Cooperative Control Of Nonlinear Networked Systems written by Yongduan Song and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-01 with Technology & Engineering categories.


Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and distributed control methods for analyzing and synthesizing nonlinear networked systems. The book presents various solutions to cooperative control problems of multiple networked nonlinear systems on graphs. The book includes various examples with segments of MATLAB® codes for readers to verify, validate, and replicate the results. The authors present a series of new control results for nonlinear networked systems subject to both non-parametric and non-vanishing uncertainties, including the cooperative uniformly ultimately bounded (CUUB) result, finite-time stability result, and finite-time cooperative uniformly ultimately bounded (FT-CUUB) result. With some mathematical tools, such as algebraic graph theory and certain aspects of matrix analysis theory introduced by the authors, the readers can obtain a deeper understanding of the roles of matrix operators as mathematical machinery for cooperative control design for multi-agent systems. Cooperative Control of Nonlinear Networked Systems is a valuable source of information for researchers and engineers in cooperative adaptive control, as its technical contents are presented with examples in full analytical and numerical detail, and graphically illustrated for easy-to-understand results. Scientists in research institutes and academics in universities working on nonlinear systems, adaptive control and distributed control will find the book of interest, as it contains multi-disciplinary problems and covers different areas of research.



Nonlinear Pinning Control Of Complex Dynamical Networks


Nonlinear Pinning Control Of Complex Dynamical Networks
DOWNLOAD
Author : Edgar N. Sanchez
language : en
Publisher: CRC Press
Release Date : 2021-08-19

Nonlinear Pinning Control Of Complex Dynamical Networks written by Edgar N. Sanchez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-19 with Technology & Engineering categories.


This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning. The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.