Adaptive periodic event-triggered consensus for multi-agent systems subject to input saturation

• Published in: International journal of control Vol. 89; no. 4; pp. 653 - 667
• Main Authors: Yin, Xiuxia, Yue, Dong, Hu, Songlin
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.04.2016; Taylor & Francis Ltd
• Subjects: adaptive; Adaptive control systems; Adjustment; Controllers; event-triggered; Gain; Input saturation; multi-agent systems; Nonlinearity; Saturation; Simulation
• ISSN: 0020-7179; 1366-5820
• DOI: 10.1080/00207179.2015.1088967

This paper investigates the distributed adaptive event-triggered consensus control for a class of nonlinear agents. Each agent is subject to input saturation. Two kinds of distributed event-triggered control scheme are introduced, one is continuous-time-based event-triggered scheme and the other is sampled-data-based event-triggered scheme. Compared with the traditional event-triggered schemes in the existing literatures, the parameters of the event-triggered schemes in this paper are adaptively adjusted by using some event-error-dependent adaptive laws. The problem of simultaneously deriving the controller gain matrix and the event-triggering parameter matrix, and tackling the saturation nonlinearity is cast into standard linear matrix inequalities problem. A convincing simulation example is given to demonstrate the theoretical results.