Title :
On some fuzzy adaptive control processes
Author_Institution :
Tokyo Metropolitan Inst. of Technol., Japan
Abstract :
Most studies of dynamic control models are concerned with determining characteristics of the optimal policy. If disturbances that arise in successive periods are independent and identically distributed random variables with a known distribution function, then it is clear that the optimal policy in each period is characterized by a single control level. The variation of the optimal policy when the noise density has an unknown parameter that must be estimated by statistical methods. The adaptive control problem connected with some assumptions is computed
Keywords :
adaptive control; fuzzy control; parameter estimation; statistics; dynamic control models; fuzzy adaptive control; noise density; optimal policy; parameter estimation; single control level; statistical methods; Adaptive control; Distributed computing; Distribution functions; Fuzzy control; Optimal control; Process control; Random variables; Sections; Statistical analysis; Statistical distributions;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236937
