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Formation Tracking Control for Heterogeneous Swarm Systems [Kõva köide]

  • Formaat: Hardback, 264 pages, kõrgus x laius: 234x156 mm, kaal: 548 g, 1 Tables, black and white; 91 Line drawings, black and white; 15 Halftones, black and white; 106 Illustrations, black and white
  • Ilmumisaeg: 11-Mar-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032201169
  • ISBN-13: 9781032201160
  • Formaat: Hardback, 264 pages, kõrgus x laius: 234x156 mm, kaal: 548 g, 1 Tables, black and white; 91 Line drawings, black and white; 15 Halftones, black and white; 106 Illustrations, black and white
  • Ilmumisaeg: 11-Mar-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032201169
  • ISBN-13: 9781032201160
"Swarm system, also known as multi-agent system, refers to a system composed of multiple subsystems (agents) with certain communication, calculation, decision-making, and action capabilities through local information interaction, such as a group of unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), satellites, etc. Formation tracking control of swarm systems is an important technical support and approach for the emergence of swarm intelligence at motion control level. By applying formationtracking control, swarm system agents can adjust their relations in the state or output space through neighboring information interaction, and then the swarm system can achieve favorable space-time conditions for many cooperative tasks such as source seeking, target enclosing, and surveillance. Thus, complex missions can be performed efficiently or cost-effectively. In cross-domain collaborative applications, including air-ground coordination and air-sea coordination, swarm systems are usually composed of several heterogeneous agents, and swarm intelligence can be enhanced by complementary functions of different agents. How to achieve time-varying formation tracking for heterogeneous swarm systems is crucial for cross-domain coordination, which has important theoretical value and practical significance. This important book presents a systematic theoretical approach and control framework on the time-varying formation tracking for high-order heterogeneous swarm systems. Distributed controller design and stability analysis of closed-loop systems for several specific formation tracking problems are provided. Furthermore, the proposed control approaches are applied to practical cooperative experiment platforms composed of UAVs and UGVs, and several formation tracking experiments are carried out to further verify the effectiveness of the theories"--

Swarm system, also known as multi-agent system, refers to a system composed of multiple subsystems (agents) with certain communication, calculation, decision-making, and action capabilities through local information interaction, such as a group of unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), satellites, etc. Formation tracking control of swarm systems is an important technical support and approach for the emergence of swarm intelligence at motion control level.
 
By applying formation tracking control, swarm system agents can adjust their relations in the state or output space through neighboring information interaction, and then the swarm system can achieve favorable space-time conditions for many cooperative tasks such as source seeking, target enclosing, and surveillance. Thus, complex missions can be performed efficiently or cost-effectively. In cross-domain collaborative applications, including air-ground coordination and air-sea coordination, swarm systems are usually composed of several heterogeneous agents, and swarm intelligence can be enhanced by complementary functions of different agents. How to achieve time-varying formation tracking for heterogeneous swarm systems is crucial for cross-domain coordination, which has important theoretical value and practical significance.
 
This important book presents a systematic theoretical approach and control framework on the time-varying formation tracking for high-order heterogeneous swarm systems. Distributed controller design and stability analysis of closed-loop systems for several specific formation tracking problems are provided. Furthermore, the proposed control approaches are applied to practical cooperative experiment platforms composed of UAVs and UGVs, and several formation tracking experiments are carried out to further verify the effectiveness of the theories.

This book presents a systematic theoretical approach and control framework on the time-varying formation tracking for high-order heterogeneous swarm systems.
Preface xi
Symbol Description xiii
1 Introduction
1(20)
1.1 Scientific and Engineering Background
1(4)
1.2 Literature Review on Formation Tracking Control
5(9)
1.2.1 Formation Tracking of Homogeneous Swarm System
6(4)
1.2.2 Formation Tracking of Heterogeneous Swarm System
10(4)
1.3 Key Problems and Challenges
14(2)
1.4 Contents and Outline
16(4)
1.5 Conclusions
20(1)
2 Preliminaries
21(16)
2.1 Notations
21(1)
2.2 Graph Theory
21(2)
2.3 Algebra and Matrix Theory
23(1)
2.4 Linear and Non-linear System Theory
24(6)
2.5 Finite-time Stability Theory
30(1)
2.6 Dynamics Models of Unmanned Vehicles
31(5)
2.7 Conclusions
36(1)
3 Formation Tracking Control for Homogeneous Swarm Systems
37(28)
3.1 Introduction
37(1)
3.2 Formation Control with Switching Directed Topologies
38(14)
3.2.1 Problem Description
38(3)
3.2.2 Time-varying Formation Analysis
41(5)
3.2.3 Time-varying Formation Protocol Design
46(3)
3.2.4 Numerical Simulations
49(3)
3.3 Formation Tracking Control with Multiple Leaders
52(12)
3.3.1 Problem Description
52(3)
3.3.2 Time-varying Formation Tracking Analysis and Design
55(7)
3.3.3 Numerical Simulation
62(2)
3.4 Conclusions
64(1)
4 Formation Tracking Control for Swarm Systems with Heterogeneous Disturbances
65(32)
4.1 Introduction
65(1)
4.2 Robust Adaptive Formation Tracking with Matched Disturbances
66(14)
4.2.1 Problem Description
66(2)
4.2.2 Robust Adaptive Formation Tracking Controller Design and Stability Analysis
68(9)
4.2.3 Simulation Example
77(3)
4.3 Finite-time Formation Tracking with Mismatched Disturbances
80(15)
4.3.1 Problem Description
82(2)
4.3.2 Finite-time Controller Design and Stability Analysis
84(7)
4.3.3 Simulation Example
91(4)
4.4 Conclusions
95(2)
5 Formation Tracking Control for Heterogeneous Swarm Systems with a Non-autonomous Leader
97(28)
5.1 Introduction
97(1)
5.2 Time-varying Formation Control for Heterogeneous Swarm Systems
98(9)
5.2.1 Problem Description
98(1)
5.2.2 Formation Controller Design and Stability Analysis
99(5)
5.2.3 Simulation Example
104(3)
5.3 Formation Tracking Control for Heterogeneous Swarm Systems with a Non-Autonomous Leader
107(17)
5.3.1 Problem Description
108(1)
5.3.2 Formation Tracking Controller Design and Stability Analysis
109(11)
5.3.3 Simulation Example
120(4)
5.4 Conclusions
124(1)
6 Formation Tracking for Heterogeneous Swarm Systems with Multiple Leaders
125(44)
6.1 Introduction
125(2)
6.2 Time-varying Formation Tracking with Switching Directed Graphs
127(18)
6.2.1 Problem Description
127(3)
6.2.2 Formation Tracking Controller Design and Stability Analysis with Switching Graphs
130(7)
6.2.3 Numerical Simulations
137(8)
6.3 Time-varying Formation Tracking without Weil-Informed Follower
145(23)
6.3.1 Problem Formulation
146(2)
6.3.2 Distributed Observer Design with Multiple Leaders
148(8)
6.3.3 Finite-time Solution of Regulator Equations
156(3)
6.3.4 Formation Tracking Protocol Design and Analysis
159(4)
6.3.5 Numerical Simulation
163(5)
6.4 Conclusions
168(1)
7 Formation-containment Tracking Control for Heterogeneous Swarm Systems
169(30)
7.1 Introduction
169(1)
7.2 Predefined Containment Control
170(10)
7.2.1 Problem Description
170(4)
7.2.2 Predefined Containment Controller Design and Stability Analysis
174(2)
7.2.3 Simulation Example
176(4)
7.3 Formation-containment Tracking Control
180(18)
7.3.1 Problem Description
180(2)
7.3.2 Formation-containment Tracking Controller Design and Stability Analysis
182(13)
7.3.3 Simulation Example
195(3)
7.4 Conclusions
198(1)
8 Experiments on Formation Tracking for UAV and UGV Swarm Systems
199(46)
8.1 Introduction
199(1)
8.2 Time-varying Formation Tracking for UAV Swarm Systems
200(16)
8.2.1 Problem Description
200(2)
8.2.2 Formation Tracking Controller Design
202(6)
8.2.3 Simulation and Experimental Results
208(8)
8.3 Formation-containment Control for UAV Swarm Systems
216(18)
8.3.1 Problem Description
216(3)
8.3.2 Formation-containment Analysis and Protocol Design
219(6)
8.3.3 Simulation and Experimental Results
225(9)
8.4 Time-varying Formation Tracking for UAV-UGV Heterogeneous Swarm Systems
234(7)
8.4.1 Problem Description
234(1)
8.4.2 Formation Tracking Controller Design
235(1)
8.4.3 Simulation and Experimental Results
236(5)
8.5 Conclusions
241(4)
9 Conclusions and Future Prospects
245(4)
9.1 Conclusions
245(2)
9.2 Future Prospects
247(2)
Bibliography 249(14)
Index 263
Yongzhao Hua is currently an Associate Professor at Institute of Artificial Intelligence, Beihang University, Beijing, China. His research interests include distributed control, optimization, and game for swarm systems.

Xiwang Dong is currently a Professor and an Associate Dean at Institute of Artificial Intelligence in Beihang University, Beijing, China. His research interests include consensus control, formation control, and containment control of swarm systems with applications to UAV swarm systems.

Zhang Ren is currently a Professor at School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include aircraft guidance, navigation and control, and cooperative guidance and control of swarm systems.