JOURNAL ARTICLE

Adaptive Sliding Mode Consensus Tracking for Second-Order Nonlinear Multiagent Systems With Actuator Faults

Jiahu QinGaosheng ZhangWei Xing ZhengYu Kang

Year: 2018 Journal:   IEEE Transactions on Cybernetics Vol: 49 (5)Pages: 1605-1615   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper investigates the consensus tracking problem of second-order nonlinear multiagent systems (MAS) with disturbance and actuator fault by the sliding mode control method. The communication topology of the MAS is directed and only part of the followers have access to the leader's information. First, a discontinuous sliding mode tracking protocol is studied for consensus tracking of the MAS. Second, to address the shortcoming of chattering and difficulty of setting the control gain in the discontinuous protocol, a continuous sliding mode tracking protocol with an adaptive mechanism is developed. The adaptive mechanism will adjust the gain of the control automatically and enable the tracking protocol to work well without prior knowledge of the MAS. Third, the performance of the adaptive sliding mode protocol for consensus tracking of the MAS in the presence of actuator faults of biased fault and partial loss of effectiveness fault is further investigated. Finally, numerical simulations are performed to illustrate the efficiency of the theoretical results.

Keywords:
Control theory (sociology) Actuator Multi-agent system Protocol (science) Tracking (education) Nonlinear system Computer science Sliding mode control Fault (geology) Mode (computer interface) Consensus Control engineering Engineering Control (management) Artificial intelligence Physics

Metrics

256
Cited By
22.71
FWCI (Field Weighted Citation Impact)
38
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications

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