Title :
Distributed output regulation for discrete-time nonlinear multi-agent systems based on fuzzy models
Author :
Liu Jia ; Chen Zengqiang ; Cui Shigang
Author_Institution :
Tianjin Key Lab. of Inf. Sensing & Intell. Control, Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
This paper deals with the distributed output regulation problem for the discrete-time nonlinear multi-agent systems based on fuzzy models. T-S fuzzy models are constructed to approximate the considered nonlinear multi-agent model, then we design the distributed feedback controller to guarantee the following agents asymptotically track the reference generated by an exosystem. The exosystem can be viewed as an active leader in the multi-agent systems, and the state of exosystem is assumed to be not completely measurable for each following agent. Finally, a numerical simulation example is provided to demonstrate the effectiveness of the obtained results.
Keywords :
control system synthesis; discrete time systems; distributed control; fuzzy control; multi-agent systems; multi-robot systems; nonlinear control systems; numerical analysis; T-S fuzzy models; Takagi-Sugeno fuzzy models; discrete-time nonlinear multi-agent systems; distributed feedback controller design; distributed output regulation; exosystem state; numerical simulation; Educational institutions; Equations; Mathematical model; Multi-agent systems; Nonlinear systems; Regulators; Symmetric matrices; Coordinative Control; Discrete-Time Systems; Multi-agent Systems; Output Regulation; T-S Fuzzy Model;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an