Title :
On model reduction in the ν-gap metric
Author :
Cantoni, Michael
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
The problem of reduced order approximation to within a specified ν-gap distance from a nominal model is considered. A condition for the existence of such an approximation is given in terms of two Lyapunov inequalities and a coupling rank constraint. When this condition is satisfied, a corresponding reduced order model can be constructed explicitly. From the perspective of behaviour in closed-loop, approximation in the ν-gap metric is appealing, since the ν-gap between two open-loop systems is a measure of the maximum possible difference in closed-loop behaviour with a given compensator
Keywords :
H∞ control; Lyapunov methods; approximation theory; closed loop systems; feedback; matrix algebra; reduced order systems; transfer functions; ν gap metric; H∞ loop-shaping; Lyapunov inequalities; approximation; closed loop systems; feedback; linear matrix inequality; model reduction; transfer functions; Artificial intelligence; Computational modeling; Control system synthesis; Feedback loop; H infinity control; Linear matrix inequalities; Numerical simulation; Reduced order systems; Symmetric matrices; Transfer functions;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980431