Affiliation:
1. School of Information and Communication Engineering, Hainan University, Haikou 570228, China
Abstract
This paper investigates the state estimation and event-triggered control for positive nonlinear multi-agent systems. Firstly, a proportional–integral observer is established to estimate the states of the considered nonlinear positive multi-agent systems based on the matrix decomposition method. Then, a dynamic event-triggered mechanism is constructed, and a control protocol is proposed based on the proportional–integral observer and event-triggered mechanism. By combining linear programming with linear co-positive Lyapunov functions, the considered multi-agent systems are guaranteed to be positive and achieve consensus. Moreover, by introducing three new variables and a finite vector, the final convergence point can be changed based on the given vector. Finally, two illustrative examples demonstrate the validity of the proposed theoretical results.
Funder
National Natural Science Foundation of China
Academician Innovation Platform Special Project of Hainan Province
Natural Science Foundation of Hainan Province
Science Research Funding of Hainan University