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RECURSIVE STATE ESTIMATION FOR DISTRIBUTED PARAMETER UNCERTAIN SYSTEMS WITH INTEGRAL QUADRATIC CONSTRAINTS
Vu N. Phat and Andrey V. Savkin
Systems and Control Research Group
School of Electrical Engineering and Telecommunications
University of New South Wales, Sydney, NSW 2052, Australia
E-mail: phvu@@syscon.ee.unsw.edu.au, a.savkin@ee.unsw.edu.au
The problem of recursive state estimation for a class of distributed parametter systems with an integral quadratic constraint in Hilbert spaces is addressed. Based on solving the linear tracking problem for time-varying systems in Hilbert spaces, necessary and sufficient conditions for robust state estimation problem involving construction of the set of all possible states at the finite interval time with given output measurments and integral quadratic constraints are derived.
Keywords: Robust control, state estimation, abstract systems, integral quadratic constraint
Session slot T-Fr-A15: Uncertain Systems/Area code 2e : Robust Control
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