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035 ▼a 2665078 ▼b (N$T)
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037 ▼a 9781003164142 ▼b Taylor & Francis
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08200 ▼a 006.30285/436 ▼2 23
1001 ▼a Wang, Chunyan, ▼d 1983- ▼e author.
24510 ▼a Robust cooperative control of multi-agent systems : ▼b a prediction and observation prospective/ ▼c Chunyan Wang, Zongyu Zuo, Jianan Wang, Zhengtao Ding.
250 ▼a First edition.
264 1 ▼a Boca Raton, FL : ▼b CRC Press, ▼c 2021.
264 4 ▼c 짤2021
300 ▼a 1 online resource (xii, 218 pages).
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references.
5050 ▼a Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Author Bios -- Preface -- 1. Introduction and Mathematical Background -- 1.1. Multi-Agent Coordination -- 1.1.1. Control Architectures -- 1.1.2. Potential Applications -- 1.1.3. Research Topics -- 1.2. Robust Problem in Cooperative Control -- 1.2.1. Time-Delay Problem -- 1.2.2. Model Uncertanties and External Disturbances -- 1.3. Overview of This Monograph -- 1.4. Mathematical Background -- 1.4.1. Notations -- 1.4.2. Matrix Theory -- 1.4.3. Stability Theory -- 1.4.4. Basic Algebraic Graph Theory -- 1.5. Notes
5058 ▼a 2. Stabilization of Single Systems with Input Delay: Prediction and Observation -- 2.1. Problem Formulation and Preliminaries -- 2.1.1. Problem Statement -- 2.1.2. Predictor and Truncated Prediction -- 2.1.3. Preliminary Results -- 2.2. Truncated Prediction Feedback with Constant Input Delay -- 2.3. Truncated Prediction Feedback with Time-Varying Input Delay -- 2.3.1. Stabilization by State Feedback -- 2.3.2. Stabilization by Output Feedback -- 2.4. Predictive Descriptor Observer Design for LTI Systems with Input Delay and Sensor Fault -- 2.4.1. Problem Formulation
5058 ▼a 2.4.2. Stabilization by State Feedback -- 2.4.3. Stabilization by Output Feedback under Sensor Fault -- 2.5. Numerical Examples -- 2.5.1. Constant Input Delay Case -- 2.5.2. Time-Varying Delay Case -- 2.6. Experiment Validation -- 2.6.1. Quadrotor Model and Linearization -- 2.6.2. Experimental Platform -- 2.6.3. Experimental Results -- 2.7. Conclusions -- 2.8. Notes -- 3. Robust Consensus Control for Uncertian Linear Multi-Agent Systems with Input Delay -- 3.1. Problem Formulation -- 3.2. Robust Consensus Controller Design -- 3.3. A Numerical Example -- 3.4. Conclusions -- 3.5. Notes
5058 ▼a 4 H??Consensus Control of Linear Multi-Agent Systems with Input Delay -- 4.1. Problem Formulation -- 4.2. H??Consensus Control -- 4.3. A Numerical Example -- 4.4. Conclusions -- 4.5. Notes -- 5. Consensus Control of Nonlinear Multi-Agent Systems with Input Delay -- 5.1. Problem Formulation -- 5.2. Predictor-Based Consensus -- 5.3. Truncated-Predictor-Based Consensus -- 5.4. Numerical Examples -- 5.4.1. Predictor Case -- 5.4.2. TPF Case -- 5.5. Conclusions -- 5.6. Notes -- 6. Consensus Disturbance Rejection for Lipschitz Nonlinear MASs with Input Delay: A Predictor Feedback Approach
5058 ▼a 6.1. Problem Formulation -- 6.2. Consensus Disturbance Rejection -- 6.2.1. Controller and Observer Design -- 6.2.2. Consensus Analysis -- 6.3. A Numerical Example -- 6.4. Conclusions -- 6.5. Notes -- 7. Consensus Disturbance Rejection for Lipschitz Nonlinear MASs with Input Delay: A Predictive Observation Approach -- 7.1. Problem Formulation -- 7.2. Predictive Observer-Based Consensus for Linear Case -- 7.2.1. Predictor-Based ESO and Controller Design -- 7.2.2. Stability Analysis -- 7.3. Predictor Observer Design for Nonlinear Case -- 7.4. A Numerical Example -- 7.5. Conclusions -- 7.6. Notes
520 ▼a "This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a predictive and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles. Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented"-- ▼c Provided by publisher.
5450 ▼a Chunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China.JiananWang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, UK.
588 ▼a Description based on online resource; title from digital title page (viewed on June 11, 2021).
590 ▼a OCLC control number change
650 0 ▼a Multiagent systems.
650 7 ▼a TECHNOLOGY / General ▼2 bisacsh
650 7 ▼a TECHNOLOGY / Engineering / Automotive ▼2 bisacsh
650 7 ▼a Multiagent systems. ▼2 fast ▼0 (OCoLC)fst01749717
655 4 ▼a Electronic books.
655 0 ▼a Electronic books.
7001 ▼a Zuo, Zongyu, ▼d 1982- ▼e author,
7001 ▼a Wang, Jianan, ▼d 1982- ▼e author,
7001 ▼a Ding, Zhengtao, ▼e author,
77608 ▼i Print version: ▼a Wang, Chunyan, 1983- ▼t Robust cooperative control of multi-agent systems ▼b First edition. ▼d Boca Raton, FL : CRC Press, 2021. ▼z 9780367758226 ▼w (DLC) 2020049258
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2665078
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990 ▼a ***1818828
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