Fully Distributed Dual-Terminal Event-Triggered Bipartite Output Containment Control of Heterogeneous Systems Under Actuator Faults

Author(s):  
Dongxue Jiang ◽  
Guoguang Wen ◽  
Zhaoxia Peng ◽  
Tingwen Huang ◽  
Ahmed Rahmani
Author(s):  
Guoqing Zhang ◽  
Shen Gao ◽  
Jiqiang Li ◽  
Weidong Zhang

This study investigates the course-tracking problem for the unmanned surface vehicle in the presence of constraints of the actuator faults, control gain uncertainties, and environmental disturbance. A novel event-triggered robust neural control algorithm is proposed by fusing the robust neural damping technique and the event-triggered input mechanism. In the algorithm, no prior information of the system model about the unknown yawing dynamic parameters and unknown external disturbances is required. The transmission burden between the controller and the actuator could be relieved. Moreover, the control gain-related uncertainties and the unknown actuator faults are compensated through two updated online adaptive parameters. Sufficient effort has been made to verify the semi-global uniform ultimate bounded stability for the closed-loop system based on Lyapunov stability theory. Finally, simulation results are presented to illustrate the effectiveness and superiority of the proposed algorithm.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 60689-60703 ◽  
Author(s):  
Yongliang Yang ◽  
Shusen Cheng ◽  
Yixin Yin ◽  
Donald C. Wunsch

2018 ◽  
Vol 78 ◽  
pp. 522-530 ◽  
Author(s):  
Chengxi Zhang ◽  
Jihe Wang ◽  
Dexin Zhang ◽  
Xiaowei Shao

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