Title :
Robust synthesis in 1: a globally optimal solution
Author :
Khammash, Mustafa ; Salapaka, Murti V. ; Van Voorhis, Tim
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
11/1/2001 12:00:00 AM
Abstract :
In this paper, a method to synthesize controllers that achieve globally optimal robust performance within any prespecified tolerance, against structured norm-bounded time-varying and/or nonlinear uncertainty is developed. The performance measure considered is the infinity to infinity induced norm of a system´s transfer function. The method developed utilizes linear relaxation techniques to solve the infinite dimensional nonconvex problem via finite dimensional linear programming problems
Keywords :
control system synthesis; linear programming; optimal control; robust control; controller synthesis; finite dimensional linear programming; globally optimal robust performance; infinite dimensional nonconvex problem; linear relaxation; nonlinear uncertainty; robust synthesis; robustness; transfer function; Control system synthesis; H infinity control; Linear programming; Optimal control; Robust control; Robust stability; Robustness; Sensitivity analysis; Transfer functions; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on
