Title :
Near optimal LQR performance for a compact set of plants
Author :
Miller, Daniel E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
Here we consider the problem of providing near optimal performance for a large set of possible models. We adopt the LQR framework in the single-input single-output (SISO) setting, and prove that given a compact set of controllable and observable plant models of a fixed order, we can construct a single linear periodic controller (LPC) which provides near optimal LQR performance.
Keywords :
linear quadratic control; periodic control; controllable plant models; observable plant models; optimal LQR performance; single linear periodic controller; single-input single-output setting; Adaptive control; Control systems; Costs; Linear predictive coding; Optimal control; Programmable control; Robust control; State feedback; Transfer functions; Uncertainty;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272875
