Title :
Self-tuning regulator for reducing disturbance in H∞-norm
Author :
Hasimoto, H. ; Ohura, K. ; Akizuki, K.
Author_Institution :
Dept. of Mechatronics, Tokyo Eng. Univ., Japan
fDate :
28 Oct-1 Nov 1991
Abstract :
The authors propose a design method of a self-tuning regulator (STR) for reducing disturbance in the minimum H∞ -norm, when the plant is described by a SISO discrete-time linear stochastic model with colored noise. The STR is designed to be suitable for an adaptive algorithm, using the optimal interpolation theory in H∞ control study. Since this theory produces an improper controller, an STR with a predictor to realize the controller is discussed
Keywords :
adaptive control; control system synthesis; discrete time systems; linear systems; optimal control; self-adjusting systems; stochastic systems; SISO discrete-time linear stochastic model; adaptive control; colored noise; control system synthesis; minimum H∞-norm; optimal interpolation theory; self-tuning regulator; Adaptive control; Colored noise; Control systems; Design methodology; H infinity control; Optimal control; Output feedback; Polynomials; Stochastic resonance; Transfer functions;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
DOI :
10.1109/IECON.1991.239243
