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Fully Distributed Event Triggered Adaptive Control Of Uncertain Heterogeneous Multi Agent Systems
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Book Synopsis Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems by : Wei Wang
Download or read book Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems written by Wei Wang and published by CRC Press. This book was released on 2024-08-15 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Distributed Event-triggered Control by : Zhongkui Li
Download or read book Distributed Event-triggered Control written by Zhongkui Li and published by Springer Nature. This book was released on 2023-12-11 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on distributed event-triggered control of multi-agent systems, in which the event-triggering mechanism is utilized to reduce the communication frequencies in order to compensate for constrained network bandwidths, an aspect that poses significant challenges for distributed control design. The book summarizes the authors’ original, systematic contributions on scalability and robustness, two core issues in distributed event-triggered control. Specifically, the book presents fully distributed adaptive event-triggered control laws; as they rely on neither continuous communications nor global information on the network, these laws are scalable with regard to network size and topology. Moreover, the book provides novel and robust event-triggered algorithms, which can accommodate various frequency-domain and matching uncertainties. The results presented here are applicable to UAV swarms, automobile systems, aerospace systems, vehicle platooning, and more, and will be of considerable interest to graduate students, researchers, and engineers working on network control systems.
Book Synopsis Distributed Control of Robotic Networks by : Francesco Bullo
Download or read book Distributed Control of Robotic Networks written by Francesco Bullo and published by Princeton University Press. This book was released on 2009-07-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control theory. The book presents a broad set of tools for understanding coordination algorithms, determining their correctness, and assessing their complexity; and it analyzes various cooperative strategies for tasks such as consensus, rendezvous, connectivity maintenance, deployment, and boundary estimation. The unifying theme is a formal model for robotic networks that explicitly incorporates their communication, sensing, control, and processing capabilities--a model that in turn leads to a common formal language to describe and analyze coordination algorithms. Written for first- and second-year graduate students in control and robotics, the book will also be useful to researchers in control theory, robotics, distributed algorithms, and automata theory. The book provides explanations of the basic concepts and main results, as well as numerous examples and exercises. Self-contained exposition of graph-theoretic concepts, distributed algorithms, and complexity measures for processor networks with fixed interconnection topology and for robotic networks with position-dependent interconnection topology Detailed treatment of averaging and consensus algorithms interpreted as linear iterations on synchronous networks Introduction of geometric notions such as partitions, proximity graphs, and multicenter functions Detailed treatment of motion coordination algorithms for deployment, rendezvous, connectivity maintenance, and boundary estimation
Book Synopsis Robot Manipulator Control by : Frank L. Lewis
Download or read book Robot Manipulator Control written by Frank L. Lewis and published by CRC Press. This book was released on 2003-12-12 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control. New chapters relay practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.
Book Synopsis Nonlinear and Adaptive Control Design by : Miroslav Krstic
Download or read book Nonlinear and Adaptive Control Design written by Miroslav Krstic and published by Wiley-Interscience. This book was released on 1995-06-14 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.
Book Synopsis Adaptive Backstepping Control of Uncertain Systems by : Jing Zhou
Download or read book Adaptive Backstepping Control of Uncertain Systems written by Jing Zhou and published by Springer Science & Business Media. This book was released on 2008-02-07 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system tracking and transient performance, but also gives self-contained coverage of fundamentals on the backstepping approach illustrated with simple examples. Detail description of methodologies for the construction of adaptive laws, feedback control laws and associated Lyapunov functions is systematically provided in each case. Approaches used for the analysis of system stability and tracking and transient performances are elaborated. Two case studies are presented to show how the presented theories are applied.
Book Synopsis Building a Low-Carbon Future by : Jiayue Sun
Download or read book Building a Low-Carbon Future written by Jiayue Sun and published by Springer Nature. This book was released on with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Control of Multi-agent Systems by : Masaaki Nagahara
Download or read book Control of Multi-agent Systems written by Masaaki Nagahara and published by Springer. This book was released on 2024-05-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook teaches control theory for multi-agent systems. Readers will learn the basics of linear algebra and graph theory, which are then developed to describe and solve multi-agent control problems. The authors address important and fundamental problems including: • consensus control; • coverage control; • formation control; • distributed optimization; and • the viral spreading phenomenon. Students' understanding of the core theory for multi-agent control is enhanced through worked examples and programs in the popular Python language. End-of-chapter exercises are provided to help assess learning progress. Instructors who adopt the book for their courses can download a solutions manual and the figures in the book for lecture slides. Additionally, the Python programs are available for download and can be used for experiments by students in advanced undergraduate or graduate courses based on this text. The broad spectrum of applications relevant to this material includes the Internet of Things, cyber-physical systems, robot swarms, communications networks, smart grids, and truck platooning. Additionally, in the spheres of social science and public health, it applies to opinion dynamics and the spreading of viruses in social networks. Students interested in learning about such applications, or in pursuing further research in multi-agent systems from a theoretical perspective, will find much to gain from Control of Multi-agent Systems. Instructors wishing to teach the subject will also find it beneficial.
Book Synopsis Proceedings of 2024 Chinese Intelligent Systems Conference by : Yingmin Jia
Download or read book Proceedings of 2024 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Admissible Consensus and Consensualization for Singular Multi-agent Systems by : Jianxiang Xi
Download or read book Admissible Consensus and Consensualization for Singular Multi-agent Systems written by Jianxiang Xi and published by Springer Nature. This book was released on 2023-09-01 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.
Book Synopsis Distributed Impulsive Coordination of Multi-Agent Systems by : Zhengle Zhang
Download or read book Distributed Impulsive Coordination of Multi-Agent Systems written by Zhengle Zhang and published by Springer Nature. This book was released on with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Event-Triggered Sliding Mode Control by : Bijnan Bandyopadhyay
Download or read book Event-Triggered Sliding Mode Control written by Bijnan Bandyopadhyay and published by Springer. This book was released on 2018-02-20 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited monograph provides a comprehensive and in-depth analysis of sliding mode control, focusing on event-triggered implementation. The technique allows to prefix the steady-state bounds of the system, and this is independent of any boundary disturbances. The idea of event-triggered SMC is developed for both single input / single output and multi-input / multi-output linear systems. Moreover, the reader learns how to apply this method to nonlinear systems. The book primarily addresses research experts in the field of sliding mode control, but the book may also be beneficial for graduate students.
Book Synopsis Distributed Consensus in Multi-vehicle Cooperative Control by : Wei Ren
Download or read book Distributed Consensus in Multi-vehicle Cooperative Control written by Wei Ren and published by Springer Science & Business Media. This book was released on 2007-10-27 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming only neighbor-neighbor interaction among vehicles, this monograph develops distributed consensus strategies that ensure that the information states of all vehicles in a network converge to a common value. Readers learn to deal with groups of autonomous vehicles in aerial, terrestrial, and submarine environments. Plus, they get the tools needed to overcome impaired communication by using constantly updated neighbor-neighbor interchange.
Book Synopsis Cooperative Control of Multi-Agent Systems with Uncertainties by : Hao Zhang
Download or read book Cooperative Control of Multi-Agent Systems with Uncertainties written by Hao Zhang and published by Elsevier. This book was released on 2024-04-04 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-agent coordination is an emerging engineering It has been inspired by the observations and descriptions of collective behavior in nature, such as fish schooling, birds flocking and insects swarming. The advantages of multi-agent coordination include: it can reduce cost and complexity from hardware platform to software and algorithms; in addition, multi-agent systems are capable of many tasks which could not be effectively performed by a single-robot system, for example, the surveillance task. The book proposes a hierarchical design framework that places uncertainties related to system models in the decentralized control layer (bottom layer) and the ones related to the communication (as well as physical interaction) between the agents in the distributed decision-making layer (top layer). The book shows that the two layers meet the separation principle under certain conditions, so that through the two-layer design framework, any challenges can be resolved independently, and the design complexity will not increase with the level of uncertainties. In addition, in order to solve the problem of energy limitation of agents, this book also studies the event-driven cooperative control of multi-agent systems, which can effectively reduce the energy consumption of agents and increase their operational life span. - Bridges the gap for engineers and technicians in the automation industry, including theory and practice - Provides a general framework for dealing with various uncertainties in multi-agent cooperative control problems - Contains contributions surrounding the development of multi-agent systems control theory
Book Synopsis Multi-Agent-Based Production Planning and Control by : Jie Zhang
Download or read book Multi-Agent-Based Production Planning and Control written by Jie Zhang and published by John Wiley & Sons. This book was released on 2017-08-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.
Book Synopsis Cooperative Control of Multi-Agent Systems by : Zhongkui Li
Download or read book Cooperative Control of Multi-Agent Systems written by Zhongkui Li and published by CRC Press. This book was released on 2017-12-19 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to cooperative control and graph theory, this monograph: Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems Studies the H∞ and H2 consensus problems for linear multi-agent systems subject to external disturbances Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input Examines the distributed containment control problem for the case with multiple leaders Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems Cooperative Control of Multi-Agent Systems: A Consensus Region Approach provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.
Author :Zhengtao Ding Publisher :Institution of Engineering and Technology ISBN 13 :1849195749 Total Pages :288 pages Book Rating :4.8/5 (491 download)
Book Synopsis Nonlinear and Adaptive Control Systems by : Zhengtao Ding
Download or read book Nonlinear and Adaptive Control Systems written by Zhengtao Ding and published by Institution of Engineering and Technology. This book was released on 2013-04-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and Adaptive Control Systems treats nonlinear control and adaptive controlin a unified framework, presenting the major results at a moderate mathematical level, suitable for MSc students and engineers with undergraduate degrees. Topics covered include introduction to nonlinear systems; state space models; describing functions forcommon nonlinear components; stability theory; feedback linearization; adaptive control; nonlinear observer design; backstepping design; disturbance rejection and output regulation; and control applications, including harmonic estimation and rejection inpower distribution systems, observer and control design for circadian rhythms, and discrete-time implementation of continuous-timenonlinear control laws.
