Title :
State estimation for MIMO hybrid dynamical model
Author :
Rajaoarisoa, Lala H. ; Balmat, Jean F. ; M´Sirdi, Nacer K.
Author_Institution :
Res. Inst. on Embedded Syst., St. Etienne du Rouvray, France
Abstract :
It is well-known that the parameter estimation is difficult in many real-world application where continuous nonlinear dynamics interact with discrete-event ones. In this paper, we address the problem of state estimation in hybrid systems exhibited by a mix of continuous time dynamics, discrete-time and discrete-event dynamics. We also demonstrate that a set of parameters is identifiable if the operating modes are detectable and observable. An application will illustrate the results proposed.
Keywords :
MIMO systems; continuous time systems; discrete event systems; discrete time systems; nonlinear dynamical systems; state estimation; MIMO system; continuous nonlinear dynamics; continuous time dynamics; discrete event dynamics; discrete time dynamics; hybrid dynamical model; parameter estimation; state estimation; Input variables; Mathematical model; Observability; Parameter estimation; State estimation; Switches; MIMO Hybrid system; detectability; identifiability; observability; persistently exciting; state estimation;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6161065