2015/09/02 by Xiuxia Yin, Dong Yue, Songlin Hu · 4 citations
Computer Science · Engineering · #Distributed Control Multi-Agent Systems #Neural Networks Stability and Synchronization #Adaptive Control of Nonlinear Systems
paper · 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.