Open AccessADRC and CMAC combined optimization and control for a class of discrete-time uncertain chaotic systems
Author(s) -
Zhaohua Liu,
Jing Zhang,
Yingjie Zhang,
Xiaohua Li,
Jian Wu
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.030701
Subject(s) - cerebellar model articulation controller , control theory (sociology) , active disturbance rejection control , computer science , controller (irrigation) , particle swarm optimization , nonlinear system , chaotic , stability (learning theory) , state observer , control engineering , control (management) , artificial intelligence , engineering , algorithm , machine learning , physics , quantum mechanics , agronomy , biology
Immune dynamic particle swarm optimization (IDPSO) strategy integrated with active disturbance rejection control (ADRC) and cerebellar model articulation controller (CMAC) combined control is designed for uncertain nonlinear discrete-time chaotic systems. The ADRC-CMAC is comprised of a cerebellar model articulation controller (CMAC) and an ADRC controller. The ADRC controller is designed to guarantee the stability of the system and restrict the disturbance. The CMAC is used to guarantee the control precision and response speed. Immune binary-state particle swarm algorithm is used to tune online the parameters of the ADRC-CMAC. Simulation results of uncertain nonlinear discrete-time systems demonstrate that performance with favorable response speed and restrained disturbance can be achieved by using the proposed control system.