Title :
Iterative learning control synthesis based on 2-D system theory
Author :
Kurek, Jerzy E. ; Zaremba, Marek B.
Author_Institution :
Dept. d´´Inf., Quebec Univ., Hull, Que., Canada
fDate :
1/1/1993 12:00:00 AM
Abstract :
An algorithm is presented for iterative learning of the control input for a linear discrete-time multivariable system. Necessary and sufficient conditions are stated for convergence of the proposed algorithm. The algorithm synthesis and analysis are based on two-dimensional (2-D) system theory. A numerical example is given
Keywords :
control system analysis; control system synthesis; convergence; discrete time systems; iterative methods; learning systems; linear systems; multidimensional systems; multivariable control systems; 2-D system theory; control system analysis; control system synthesis; convergence; iterative learning; linear discrete-time multivariable system; Algorithm design and analysis; Control system synthesis; Control systems; Convergence; Iterative algorithms; MIMO; Manipulators; Proportional control; Robots; Sufficient conditions;
Journal_Title :
Automatic Control, IEEE Transactions on
