Consensus problems for multi-agent systems with nonlinear algorithms

The paper investigates consensus problems for multi-agent systems with nonlinear algorithms. Group consensus algorithms with actuator saturation for the first-order and second-order multi-agent systems are proposed. In addition, the adaptive consensus algorithm with nonlinear dynamic is also given....

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Veröffentlicht in:Neural computing & applications Jg. 27; H. 5; S. 1327 - 1336
Hauptverfasser: Miao, Guoying, Ma, Qian, Liu, Qingqing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Springer London 01.07.2016
Schlagworte:
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Original Article
Probability and Statistics in Computer Science
Multi-agent
Group consensus
Consensus
Actuator saturation
ISSN:0941-0643, 1433-3058
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Zusammenfassung:The paper investigates consensus problems for multi-agent systems with nonlinear algorithms. Group consensus algorithms with actuator saturation for the first-order and second-order multi-agent systems are proposed. In addition, the adaptive consensus algorithm with nonlinear dynamic is also given. By applying the graph theory, Lyapunov function, and LaSalle’s invariance principle, consensus conditions for multi-agent systems are derived. Finally, three simulation examples are provided to denote the effectiveness of obtained theoretical results.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-015-1936-6