Consensus problems for multi-agent systems with nonlinear algorithms. Issue 5 (July 2016)

• Record Type: Journal Article
• Authors: Miao, Guoying; Ma, Qian; Liu, Qingqing
• Is Part Of: Neural computing & applications. Volume 27:Issue 5(2016)
• Page Start: 1327
• Page End: 1336
• Publication Date: 2016-07
• Subjects: Multi-agent -- Consensus -- Actuator saturation -- Group consensus; Neural networks (Computer science) -- Periodicals; Neural circuitry -- Periodicals; Artificial intelligence -- Periodicals; Neural Networks (Computer) -- Periodicals; Réseaux neuronaux (Informatique) -- Périodiques; Réseaux nerveux -- Périodiques; Intelligence artificielle -- Périodiques; 006.32
• DOI: 10.1007/s00521-015-1936-6
• Languages: English
• ISSNs: 0941-0643

Abstract

Abstract 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.