Adaptive-impulsive consensus of multiagent systems
Corresponding Author
Tiedong Ma
Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, Chongqing, 400044 China
School of Automation, Chongqing University, Chongqing, 400044 China
Correspondence
Tiedong Ma, Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, Chongqing 400044, China; School of Automation, Chongqing University, Chongqing 400044, China.
Email: [email protected]
Search for more papers by this authorTeng Li
Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, Chongqing, 400044 China
School of Automation, Chongqing University, Chongqing, 400044 China
Search for more papers by this authorBing Cui
School of Automation, Beijing Institute of Technology, Beijing, 100081 China
Search for more papers by this authorCorresponding Author
Tiedong Ma
Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, Chongqing, 400044 China
School of Automation, Chongqing University, Chongqing, 400044 China
Correspondence
Tiedong Ma, Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, Chongqing 400044, China; School of Automation, Chongqing University, Chongqing 400044, China.
Email: [email protected]
Search for more papers by this authorTeng Li
Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, Chongqing, 400044 China
School of Automation, Chongqing University, Chongqing, 400044 China
Search for more papers by this authorBing Cui
School of Automation, Beijing Institute of Technology, Beijing, 100081 China
Search for more papers by this authorSummary
This paper studies the leader-following consensus problem of multiagent nonlinear systems with uncertain parameters and control gain error. On the basis of the theory of impulsive differential equations, the adaptive control technique, and the Lyapunov stability theory, some novel adaptive-impulsive consensus conditions are given to realize the consensus of a class of multiagent nonlinear systems. Compared with the existing investigations on the impulsive consensus of multiagent systems, the proposed impulsive control protocol with uncertain parameters and control gain error is more rigorous and effective in practical systems. Four numerical simulations are verified to confirm the effectiveness of the proposed methods.
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