DocumentCode :
728194
Title :
Nonlinear consensus algorithms for second-order multi-agent systems with mismatched disturbances
Author :
Xiangyu Wang ; Shihua Li
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
1740
Lastpage :
1745
Abstract :
In this paper, the consensus control problem is investigated for second-order multi-agent systems encompassing mismatched disturbances. By integrating both sliding-mode control (SMC) and disturbance observer based control (DOBC) approaches together, a composite consensus control strategy is proposed. In the first step, for each agent, a nonlinear disturbance observer is developed to estimate its mismatched/matched disturbances. In the second step, by involving the mismatched disturbance estimates, novel sliding-mode surfaces are designed for both leaderless and leader-follower cases. Finally, based on such surfaces, sliding-mode consensus protocols are proposed for both cases, which guarantee global asymptotical stability for the closed-loop systems. Simulation results demonstrate the effectiveness of the proposed consensus algorithms.
Keywords :
asymptotic stability; closed loop systems; control system synthesis; multi-agent systems; nonlinear control systems; observers; variable structure systems; DOBC approach; SMC; closed-loop systems; composite consensus control strategy; consensus control problem; disturbance observer based control approach; global asymptotical stability; mismatched-matched disturbance estimation; nonlinear consensus algorithms; nonlinear disturbance observer; second-order multiagent systems; sliding-mode consensus protocols; sliding-mode control; sliding-mode surface design; Control systems; Eigenvalues and eigenfunctions; Multi-agent systems; Observers; Protocols; Topology; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7170984
Filename :
7170984
Link To Document :
بازگشت