Title :
Optimal controller design for a class of networked control systems
Author :
Li, Hongbo ; Sun, Zengqi ; Wu, Fengge ; Sun, Fuchun
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
This paper is concerned with the optimal controller design of networked control systems (NCSs). Aiming at a class of NCSs, in which network-induced delay and data packet dropout exist simultaneously from sensor to controller, this paper proposes a novel optimal controller based on a new adaptive genetic algorithm and simulated anneal algorithm (AGASA), guaranteed cost controller (GCC) and state feedback controller (SFC). The proposed controller is less conservative than GCC and SFC, and can be applied to both linear and nonlinear NCSs. Two examples are presented to illustrate the proposed controller.
Keywords :
control system synthesis; feedback; genetic algorithms; optimal control; simulated annealing; adaptive genetic algorithm and simulated anneal algorithm; data packet dropout; guaranteed cost controller; network-induced delay; networked control systems; optimal controller design; state feedback controller; Actuators; Adaptive control; Control systems; Genetic algorithms; Intelligent sensors; Networked control systems; Optimal control; Programmable control; State feedback; Sun;
Conference_Titel :
Hybrid Intelligent Systems, 2005. HIS '05. Fifth International Conference on
Print_ISBN :
0-7695-2457-5
DOI :
10.1109/ICHIS.2005.84