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Cooperative adaptive output feedback control for nonlinear multi-agent systems with actuator failures
被引:32
|作者:
Deng, Chao
[1
]
Yang, Guang-Hong
[1
,2
]
机构:
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
来源:
关键词:
Multi-agent systems;
Actuator fault;
Cooperative output feedback control;
Dynamic surface control;
TRACKING CONTROL;
CONSENSUS TRACKING;
COMPLEX NETWORKS;
STATE-FEEDBACK;
SYNCHRONIZATION;
DYNAMICS;
LEADER;
AGENTS;
D O I:
10.1016/j.neucom.2015.12.117
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
This paper considers the cooperative adaptive output feedback control problem for nonlinear multi agent systems with actuator failures. By constructing local filters to estimate the unmeasurable states, an effective cooperative adaptive fault-tolerant controller is developed. Furthermore, by introducing additional local estimators to estimate the unknown parameters involved in its neighbor's dynamics, the extra transmissions of online parameter estimators among the linked subsystems are avoided. In addition, it is proved that the proposed control protocol guarantees the consensus output tracking errors converge to an adjustable neighborhood of the origin and all signals in the closed-loop systems are bounded. Finally, a simulation example is given to illustrate the effectiveness of the proposed control scheme. (C) 2016 Elsevier B.V. All rights reserved.
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页码:50 / 57
页数:8
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