Iterative learning control for multi-agent systems coordination / (Record no. 42665)
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| fixed length control field | 09459nam a2200841 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 7886196 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152128.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170417s2017 mau ob 001 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| Canceled/invalid LC control number | 2016052027 (print) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119189053 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119189046 |
| Qualifying information | hardback |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119189053 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat07886196 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b00006485c47792 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TJ217.5 |
| Item number | .Y36 2017eb |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8/9 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Yang, Shiping, |
| Dates associated with a name | 1987- |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Iterative learning control for multi-agent systems coordination / |
| Statement of responsibility, etc. | by Shiping Yang, Jian-Xin Xu, Xuefang Li, Dong Shen. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Singapore : |
| Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2017] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (272 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Wiley - IEEE |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | -- Preface ix -- 1 Introduction 1 -- 1.1 Introduction to Iterative Learning Control 1 -- 1.1.1 Contraction-Mapping Approach 3 -- 1.1.2 Composite Energy Function Approach 4 -- 1.2 Introduction to MAS Coordination 5 -- 1.3 Motivation and Overview 7 -- 1.4 Common Notations in This Book 9 -- 2 Optimal Iterative Learning Control for Multi-agent Consensus Tracking 11 -- 2.1 Introduction 11 -- 2.2 Preliminaries and Problem Description 12 -- 2.2.1 Preliminaries 12 -- 2.2.2 Problem Description 13 -- 2.3 Main Results 15 -- 2.3.1 Controller Design for Homogeneous Agents 15 -- 2.3.2 Controller Design for Heterogeneous Agents 20 -- 2.4 Optimal Learning Gain Design 21 -- 2.5 Illustrative Example 23 -- 2.6 Conclusion 26 -- 3 Iterative Learning Control for Multi-agent Coordination Under Iteration-Varying Graph 27 -- 3.1 Introduction 27 -- 3.2 Problem Description 28 -- 3.3 Main Results 29 -- 3.3.1 Fixed Strongly Connected Graph 29 -- 3.3.2 Iteration-Varying Strongly Connected Graph 32 -- 3.3.3 Uniformly Strongly Connected Graph 37 -- 3.4 Illustrative Example 38 -- 3.5 Conclusion 40 -- 4 Iterative Learning Control for Multi-agent Coordination with Initial State Error 41 -- 4.1 Introduction 41 -- 4.2 Problem Description 42 -- 4.3 Main Results 43 -- 4.3.1 Distributed D-type Updating Rule 43 -- 4.3.2 Distributed PD-type Updating Rule 48 -- 4.4 Illustrative Examples 49 -- 4.5 Conclusion 50 -- 5 Multi-agent Consensus Tracking with Input Sharing by Iterative Learning Control 53 -- 5.1 Introduction 53 -- 5.2 Problem Formulation 54 -- 5.3 Controller Design and Convergence Analysis 54 -- 5.3.1 Controller Design Without Leader's Input Sharing 55 -- 5.3.2 Optimal Design Without Leader's Input Sharing 58 -- 5.3.3 Controller Design with Leader's Input Sharing 59 -- 5.4 Extension to Iteration-Varying Graph 60 -- 5.4.1 Iteration-Varying Graph with Spanning Trees 60 -- 5.4.2 Iteration-Varying Strongly Connected Graph 60 -- 5.4.3 Uniformly Strongly Connected Graph 62 -- 5.5 Illustrative Examples 63. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5.5.1 Example 1: Iteration-Invariant Communication Graph 63 -- 5.5.2 Example 2: Iteration-Varying Communication Graph 64 -- 5.5.3 Example 3: Uniformly Strongly Connected Graph 66 -- 5.6 Conclusion 68 -- 6 A HOIM-Based Iterative Learning Control Scheme for Multi-agent Formation 69 -- 6.1 Introduction 69 -- 6.2 Kinematic Model Formulation 70 -- 6.3 HOIM-Based ILC for Multi-agent Formation 71 -- 6.3.1 Control Law for Agent 1 72 -- 6.3.2 Control Law for Agent 2 74 -- 6.3.3 Control Law for Agent 3 75 -- 6.3.4 Switching Between Two Structures 78 -- 6.4 Illustrative Example 78 -- 6.5 Conclusion 80 -- 7 P-type Iterative Learning for Non-parameterized Systems with Uncertain Local Lipschitz Terms 81 -- 7.1 Introduction 81 -- 7.2 Motivation and Problem Description 82 -- 7.2.1 Motivation 82 -- 7.2.2 Problem Description 83 -- 7.3 Convergence Properties with Lyapunov Stability Conditions 84 -- 7.3.1 Preliminary Results 84 -- 7.3.2 Lyapunov Stable Systems 86 -- 7.3.3 Systems with Stable Local Lipschitz Terms but Unstable Global Lipschitz Factors 90 -- 7.4 Convergence Properties in the Presence of Bounding Conditions 92 -- 7.4.1 Systems with Bounded Drift Term 92 -- 7.4.2 Systems with Bounded Control Input 94 -- 7.5 Application of P-type Rule in MAS with Local Lipschitz Uncertainties 97 -- 7.6 Conclusion 99 -- 8 Synchronization for Nonlinear Multi-agent Systems by Adaptive Iterative Learning Control 101 -- 8.1 Introduction 101 -- 8.2 Preliminaries and Problem Description 102 -- 8.2.1 Preliminaries 102 -- 8.2.2 Problem Description for First-Order Systems 102 -- 8.3 Controller Design for First-Order Multi-agent Systems 105 -- 8.3.1 Main Results 105 -- 8.3.2 Extension to Alignment Condition 107 -- 8.4 Extension to High-Order Systems 108 -- 8.5 Illustrative Example 113 -- 8.5.1 First-Order Agents 114 -- 8.5.2 High-Order Agents 115 -- 8.6 Conclusion 118 -- 9 Distributed Adaptive Iterative Learning Control for Nonlinear Multi-agent Systems with State Constraints 123 -- 9.1 Introduction 123. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 9.2 Problem Formulation 124 -- 9.3 Main Results 127 -- 9.3.1 Original Algorithms 127 -- 9.3.2 Projection Based Algorithms 135 -- 9.3.3 Smooth Function Based Algorithms 138 -- 9.3.4 Alternative Smooth Function Based Algorithms 141 -- 9.3.5 Practical Dead-Zone Based Algorithms 156 -- 9.4 Illustrative Example 163 -- 9.5 Conclusion 171 -- 10 Synchronization for Networked Lagrangian Systems under Directed Graphs 173 -- 10.1 Introduction 173 -- 10.2 Problem Description 174 -- 10.3 Controller Design and Performance Analysis 175 -- 10.4 Extension to Alignment Condition 181 -- 10.5 Illustrative Example 182 -- 10.6 Conclusion 186 -- 11 Generalized Iterative Learning for Economic Dispatch Problem in a Smart Grid 187 -- 11.1 Introduction 187 -- 11.2 Preliminaries 188 -- 11.2.1 In-Neighbor and Out-Neighbor 188 -- 11.2.2 Discrete-Time Consensus Algorithm 189 -- 11.2.3 Analytic Solution to EDP with Loss Calculation 190 -- 11.3 Main Results 191 -- 11.3.1 Upper Level: Estimating the Power Loss 192 -- 11.3.2 Lower Level: Solving Economic Dispatch Distributively 192 -- 11.3.3 Generalization to the Constrained Case 195 -- 11.4 Learning Gain Design 196 -- 11.5 Application Examples 198 -- 11.5.1 Case Study 1: Convergence Test 199 -- 11.5.2 Case Study 2: Robustness of Command Node Connections 200 -- 11.5.3 Case Study 3: Plug and Play Test 201 -- 11.5.4 Case Study 4: Time-Varying Demand 203 -- 11.5.5 Case Study 5: Application in Large Networks 205 -- 11.5.6 Case Study 6: Relation Between Convergence Speed and Learning Gain 205 -- 11.6 Conclusion 206 -- 12 Summary and Future Research Directions 207 -- 12.1 Summary 207 -- 12.2 Future Research Directions 208 -- 12.2.1 Open Issues in MAS Control 208 -- 12.2.2 Applications 212 -- Appendix A Graph Theory Revisit 221 -- Appendix B Detailed Proofs 223 -- B.1 HOIM Constraints Derivation 223 -- B.2 Proof of Proposition 2.1 224 -- B.3 Proof of Lemma 2.1 225 -- B.4 Proof of Theorem 8.1 227 -- B.5 Proof of Corollary 8.1 228 -- Bibliography 231 -- Index 000. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "This book gives a comprehensive overview of the intersection between ILC and MAS, the range of topics include basic to advanced theories, rigorous mathematics to engineering practice, and linear to nonlinear systems. It addresses the crucial multi-agent coordination and control challenges that can be solved by ILC methods. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as the power grid, communication and sensor networks, intelligent transportation system, and formation control. Readers will gain a roadmap to the latest advances in the fields and use their newfound knowledge to design their own algorithms"-- |
| Assigning source | Provided by publisher. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on PDF viewed 04/17/2017. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Intelligent control systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Multiagent systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Iterative methods (Mathematics) |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 695 ## - | |
| -- | Acceleration |
| 695 ## - | |
| -- | Actuators |
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| -- | Convergence |
| 695 ## - | |
| -- | Databases |
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| -- | Delays |
| 695 ## - | |
| -- | Feature extraction |
| 695 ## - | |
| -- | Feedback loop |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Iterative learning control |
| 695 ## - | |
| -- | Kernel |
| 695 ## - | |
| -- | Laplace equations |
| 695 ## - | |
| -- | Manipulators |
| 695 ## - | |
| -- | Multi-agent systems |
| 695 ## - | |
| -- | Multiple signal classification |
| 695 ## - | |
| -- | Process control |
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| -- | Speech |
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| -- | Support vector machines |
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| -- | Synchronization |
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| -- | Time-domain analysis |
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| -- | Training |
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| -- | Trajectory |
| 695 ## - | |
| -- | Uncertainty |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Xu, Jian-Xin, |
| Relator term | author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Li, Xuefang, |
| Dates associated with a name | 1985- |
| Relator term | author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shen, Dong, |
| Dates associated with a name | 1982- |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
| Relator term | distributor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Wiley, |
| Relator term | publisher. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Wiley - IEEE |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7886196 |
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