DocumentCode
1616854
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
fYear
1992
Firstpage
1001
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-0510-8
Type
conf
DOI
10.1109/MWSCAS.1992.271126
Filename
271126
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