Title :
A design of self-tuning pole-assignment controllers for stochastic systems with unknown deterministic disturbances
Author :
Aoyama, Jun ; Yamamoto, Tom ; Hinamoto, Takao
Author_Institution :
Dept. of Artificial Complex Syst. Control, Hiroshima Univ., Japan
Abstract :
In this paper, a new self-tuning pole-assignment control scheme is proposed for stochastic systems with unknown deterministic disturbances, whose control law is first derived based on minimizing a quadratic cost function. Furthermore, some user-specified polynomials are designed based on the pole-assignment scheme. This scheme has internal models corresponding to deterministic disturbances, and the internal models are adjusted in an online manner. The effectiveness of the newly proposed control scheme is evaluated on a simulation example.
Keywords :
control system synthesis; minimisation; model reference adaptive control systems; pole assignment; stochastic systems; uncertain systems; deterministic disturbances; internal models; online adjustment; pole-assignment scheme; quadratic cost function minimization; self-tuning pole-assignment controller design; stochastic systems; unknown deterministic disturbances; user-specified polynomial design; Control engineering education; Control system synthesis; Control systems; Cost function; Design methodology; Educational technology; Polynomials; Stability criteria; Stochastic systems; Systems engineering education;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195745
