Title :
Model reference adaptive H∞ consensus control
Author :
Miyasato, Yoshihiko
Author_Institution :
Dept. of Math. Anal. & Stat. Inference, Inst. of Stat. Math., Tachikawa, Japan
Abstract :
A design methods of model reference adaptive H∞ consensus control of multi-agent systems composed of unknown linear processes is presented in this paper. The proposed control scheme is derived as a solution of certain H∞ control problem, where estimation errors of tuning parameters are regarded as external disturbances to the process. Owing to the H∞ control performances, the proposed control schemes achieve good transient properties even for large estimation errors of tuning parameters.
Keywords :
H∞ control; control system synthesis; linear systems; model reference adaptive control systems; multi-robot systems; H∞ control problem; control design; estimation errors; external disturbance; model reference adaptive H∞ consensus control; multi-agent systems; transient properties; tuning parameters; unknown linear process; Adaptation models; Equations; Multi-agent systems; Process control; Stability analysis; Symmetric matrices; Tuning; Direct adaptive control; Networked control systems; Optimal control;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6858700
