Title :
An iterative learning method for partially known dynamical systems
Author :
Aissi, C. ; Chouikha, M.F.
Author_Institution :
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
Abstract :
An iterative learning method to solve the problem of controlling dynamical systems with partially known dynamics is presented. A projection of the system input and output signals onto a set of orthogonal functions is utilized to generate the control signal at each iteration. A convergence proof of the proposed algorithm is given. Two examples demonstrating the validity of the algorithm are presented. The extension of the proposed algorithm to nonlinear systems is shown
Keywords :
adaptive control; iterative methods; learning systems; nonlinear control systems; control signal; convergence proof; input signals; iterative learning method; nonlinear systems; orthogonal functions; output signals; partially known dynamical systems; validity; Control systems; Error correction; Iterative algorithms; Iterative methods; Learning systems; Linear systems; Manipulators; Robots; Signal generators; Trajectory;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271126
