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ADRC and CMAC combined optimization and control for a class of discrete-time uncertain chaotic systems

Zhang Jing Liu Zhao-Hua Li Xiao-Hua Zhang Ying-Jie Wu Jian-Hui

ADRC and CMAC combined optimization and control for a class of discrete-time uncertain chaotic systems

Zhang Jing, Liu Zhao-Hua, Li Xiao-Hua, Zhang Ying-Jie, Wu Jian-Hui
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  • Received Date:  30 May 2010
  • Accepted Date:  03 July 2010
  • Published Online:  15 March 2011

ADRC and CMAC combined optimization and control for a class of discrete-time uncertain chaotic systems

  • 1. (1)College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; (2)College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; School of Computer and Communication, Hunan University, Changsha 410082, China; (3)Department of Electronic and Information Engineering, Changsha Normal College, Changsha 410100,China; (4)School of Computer and Communication, Hunan University, Changsha 410082, China

Abstract: 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.

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