Title :
Stochastically resilient design of H∞ observers for discrete-time nonlinear systems
Author :
Jeong, Chung Seop ; Yaz, Edwin Engin ; Yaz, Yvonne Ilke
Author_Institution :
Marquette Univ., Milwaukee
Abstract :
A linear matrix inequality based Hinfin- type state observer design approach is presented for smooth discrete time nonlinear systems with finite energy disturbances. This observer is designed to maintain disturbance attenuation performance in case of randomly varying perturbations in its gain. A linear matrix inequality is used at each time instant to find the time-varying gain of the observer. Simulation studies are included to explore the performance in comparison to the extended Kalman filter.
Keywords :
Hinfin control; discrete time systems; linear matrix inequalities; nonlinear control systems; observers; stochastic systems; discrete-time nonlinear systems; finite energy disturbance; linear matrix inequality; stochastic resilient Hinfin state observer design; Control systems; Linear matrix inequalities; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Observers; Performance gain; Riccati equations; State estimation; USA Councils;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434222