Title :
Uncertain systems: new uncertainty characterization for linear control design
Author :
Gu, Keqin ; Chen, Y.H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oakland Univ., Rochester, MI, USA
Abstract :
A characterization of the structure of uncertainty called the generalized matching condition is proposed. The uncertainty is further decomposed into two parts that are `orthogonal´ to each other. On the basis of this decomposition a linear feedback control design is proposed for linear uncertain systems. The control always exists if the generalized matching condition is met. The design is illustrated by a practical example
Keywords :
feedback; linear systems; optimal control; decomposition; feedback control; generalized matching condition; linear control; linear systems; optimal control; uncertain systems; uncertainty characterization; Computer science; Control design; Design automation; Feedback control; Magnetic levitation; Riccati equations; Robotics and automation; Time varying systems; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70399