Title :
State estimation for linear impulsive systems
Author :
Medina, Enrique A. ; Lawrence, Douglas A.
Author_Institution :
Radiance Technol., Inc., Sunnyvale, CA, USA
Abstract :
In this paper, we treat the fundamental problem of state estimation for a class of linear impulsive systems with time-driven impulsive effects. We show that a strong observability property enables an impulsive observer to be constructed that yields uniformly exponentially stable estimation error dynamics. This approach accommodates impulsive systems with arbitrarily-spaced impulse times and singular state transition matrices in a manner reminiscent of well-known results for time-varying discrete-time linear systems. As an example, an observer is constructed for an impulsive system that produces general cubic spline signals.
Keywords :
discrete time systems; linear systems; matrix algebra; observers; splines (mathematics); arbitrarily-spaced impulse times; general cubic spline signals; impulsive observer; linear impulsive systems; singular state transition matrices; state estimation; time-driven impulsive effects; time-varying discrete-time linear systems; uniformly exponentially stable estimation error dynamics; Artificial intelligence; Control systems; Differential equations; Linear systems; Observability; Observers; Riccati equations; Spline; State estimation; Time varying systems;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160347