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Cooperative Control of Nonlinear Multiagent Systems
Passivity-Based and Non-Passivity-Based Approaches
- 1st Edition - November 1, 2024
- Authors: Jin-Liang Wang, Shun-Yan Ren, Huai-Ning Wu, Tingwen Huang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 7 3 2 6 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 7 3 2 7 - 8
Cooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems contai… Read more
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Request a sales quoteCooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems containing passivity-based or non-passivity-based consensus, lag consensus, and formation control of multiagent systems. The book provides professional and convenient guidance for those who want to know basic knowledge, advancements, and processes for designing and analyzing cooperative control for nonlinear multiagent systems.
Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems.
Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems.
- Constructs the frameworks of passivity analysis, consensus control, lag consensus control, and formation control for multiagent systems
- Helps readers learn novel control methods
- Includes systematic introductions and detailed implementations on how control protocols solve problems in nonlinear multiagent systems
Senior undergraduate students, graduate students majoring in automation, artificial intelligence, computer science, Researchers and technologists of multiagent systems
1. Consensus and H_infinity Consensus of Nonlinear Second-Order Multiagent Systems
2. Finite-time consensus for directed multiagent systems with and without external disturbances
3. Lag consensus for nonlinear multiagent systems with and without external disturbances under PD and PI control
4. Formation control for second-order multiagent systems with fixed and switching topologies
5. Passivity-Based Output Consensus for Second-Order Nonlinear Multiagent Systems
6. Passivity-based Finite-Time Synchronization for Nonlinear Multiagent Systems
7. Passivity-based finite-time Lag Consensus and Lag Consensus for Multiagent Systems
8. Passivity-based Formation Control for Multiagent Systems with Linear or Nonlinear Coupling
- No. of pages: 238
- Language: English
- Edition: 1
- Published: November 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443273261
- eBook ISBN: 9780443273278
JW
Jin-Liang Wang
Jin Liang Wang (Senior Member, IEEE) received a Ph.D. degree in control theory and control engineering from the School of Automation Science and Electrical Engineering, Beihang University, China, in January 2014.
From 2014 to 2020, he has lectured and served as professor at the School of Computer Science and Technology, Tiangong University, China. He has authored 3 English academic monographs and over 40 SCI-indexed journal papers, which have been cited more than 1500 times. 11 first author papers were recognized by the ESI Highly Cited Papers, and 1 first author paper was selected as the ESI Hot Paper.
His current research interests include synchronization, passivity, consensus, formation control, fractional-order systems, complex networks, coupled reaction-diffusion neural networks, and multiagent systems.
Prof. Wang was a Managing Guest Editor for the Special Issue on Dynamical Behaviors of Coupled Neural Networks with Reaction-Diffusion Terms: Analysis, Control and Applications in Neurocomputing. He also serves as an Associate Editor for Neurocomputing, the International Journal of Adaptive Control and Signal Processing, and Complex & Intelligent Systems.
Affiliations and expertise
Senior Member, IEEETH
Tingwen Huang
Tingwen Huang (Fellow, IEEE) received his B.S. degree in Mathematics from Southwest Normal University, China, in 1990, a M.S. degree in Applied Mathematics from Sichuan University, China, in 1993, and a Ph.D. degree in Mathematics from Texas A&M University, College Station, USA, in 2002.
He was a Lecturer with Jiangsu University, China, from 1994 to 1998, and a Visiting Assistant Professor with Texas A&M University, USA in 2003. He served as Assistant Professor and Associate Professor at Texas A&M University at Qatar, Qatar from 2003 to 2013, he has served as a Professor there since 2013.
His current research interests include neural networks, complex networks, chaos and dynamics of systems, and operator semigroups and their applications.