Title :
Gain scheduled control of nonlinear systems based on the linear-model-sets identification method
Author :
Wada, Teruyo ; Osuka, Koichi
Author_Institution :
Dept. of Mech. Eng., Osaka Prefecture Univ., Japan
Abstract :
We present a total method of modeling, identification and gain scheduling for nonlinear plants. To construct a gain scheduled control system, we will expect to model the nonlinear plant as a set of the linearized models at all the operating points. In this paper, we show that the linear-model-sets identification (LM-sets ID) method is a suitable method of modeling and identification of nonlinear plants for constructing gain scheduled control systems. For this purpose, we design and theoretically analyze a gain scheduled control system based on a collection of model sets obtained by the LM-sets ID method
Keywords :
control system synthesis; identification; linearisation techniques; modelling; nonlinear control systems; LM-sets ID method; gain scheduled control design; linear-model-sets identification method; linearized models; modeling; nonlinear systems; Control design; Control system synthesis; Control systems; Convergence; Educational institutions; Mathematical model; Mechanical systems; Nonlinear control systems; Nonlinear systems;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.650658