Title :
Statistical controller design for the linear benchmark problem
Author :
Koltchinskii, V. ; Ariola, M. ; Abdallah, C.T. ; Dorato, P.
Author_Institution :
Dept. of Math. & Stat., New Mexico Univ., Albuquerque, NM, USA
Abstract :
In this paper some fixed-order controllers are designed via statistical methods for the benchmark problem originally presented at the 1990 American Control Conference. Based on some recent results by the authors, it is shown that the statistical approach is a valid method to design robust controllers. Two different controllers are proposed and their performance are compared with controllers with the same structure, designed using different techniques
Keywords :
control system synthesis; learning systems; linear systems; robust control; statistical analysis; benchmark problem; controller design; fixed-order controllers; linear systems; robust control; sequential learning; statistical methods; Actuators; Control systems; Design methodology; Force control; Force measurement; Mathematics; NASA; Performance analysis; Robust control; Sensor systems;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.832832
