Continuous and discrete state estimation for a class of hybrid nonlinear systems
Dependable Control of Discrete Systems, Volume # 1 | Part# 1
Authors
Yang, Hao; Cocquempot, Vincent; Jiang, Bin
Digital Object Identifier (DOI)
10.3182/20070613-3-FR-4909.00047
Page Numbers:
265-270
Index Terms
hybrid system,observers,state estimation,fault diagnosis
Abstract
State estimation and fault diagnosis problems are discussed for a class of hybrid nonlinear systems modelled by hybrid automata, which have uncontrollable discrete mode transitions and parametric uncertainties. Two kinds of faults are considered: Continuous faults that affect each mode; Discrete faults that affect the mode transition. To estimate both the continuous and discrete states, a novel observer is designed for each mode whose estimation error is not affected by continuous faults and sensitive to discrete mode transitions. Sufficient conditions are given to achieve the state estimation goal for the overall hybrid system.
References
[1] Balluchi, A., L. Benvenuti, M. D. Di. Benedetto
and A. L. Sangiovanni-Vincentelli (2002). Design
of observers for hybrid systems. Hybrid
Systems: Computation and Control. LNCS
2289, Springer Verlag, Berlin Heidelberg.
pp. 76-89.
[2] Blanke, M., M. Kinnaert, J. Lunze and
M. Staroswiecki (2003). Diagnosis and Fault-Tolerant
Control. Springer Verlag Berlin. Heidelberg.
[3] Cocquempot, V., T. Mezyani and M. Staroswiecki
(2004). Fault detection and isolation for hybrid
systems using structured parity residuals.
Proc. of 5th Asian Control Conference.
Melbourne, Australia. pp. 1204 - 1212.
[4] Giua, A., C. Seatzu and F. Basile (2004).
Observer-based state feedback control of
timed petri nets with deadlock recovery.
IEEE Trans. on Automatic Control
49(1), 17-29.
[5] Guéguen, H. and J. Zaytoon (2004). On the formal
verification of hybrid systems. Control Engineering
Practice 12(10), 1253-1267.
[6] Jiang, B., M. Staroswiecki and V. Cocquempot
(2006). Fault accommodation for a class of
nonlinear dynamic systems. IEEE Trans. on
Automatic Control 51(9), 1578-1583.
[7] Kajdan, R., G. Graton, D. Aubry and F. Kratz
(2006). Fault detection of a nonlinear switching
system using finite memory observers.
Proc. of IFAC Safeprocess'06. Beijing, China.
pp. 1051-1056.
[8] Krstic, M., I. Kanellakopoulos and P. Kokotovic
(1995). Nonlinear and Adaptive Control Desig.
Wiley. New York.
[9] Lee, S. and M. Park (2003). State observer
for mimo nonlinear systems. IEE Proceedings:
Control Theory and Applications
150(4), 421-426.
[10] Lin, F. and W. M. Wonham (1988). On observability
of discrete-event systems. Information
Science 44, 173-198.
[11] Lygeros, J., K. H. Johansson, S. N. Simic,
J. Zhang and S. Sastry (2003). Dynamical
properties of hybrid automata. IEEE Trans.
on Automatic Control 48(1), 2-17.
[12] Saadaoui, H., N. Manamanni, M. Djemaï, J. P.
Barbot and T. Floquet (2006). Exact differentiation
and sliding mode observers for
switched lagrangian systems. Nonlinear Analysis
65(5), 1050-1069.
[13] Shim, H., Y. I. Son and J. H. Seo (2001).
Semi-global observer for multi-output non-linear
systems. Systems and control letters
42(3), 233-244.
[14] Yang, H., B. Jiang and V. Cocquempot (2007).
Fault accommodation for hybrid systems
with continuous and discrete faults. Hybrid
Systems: Computation and Control. LNCS,
4416, Springer-Verlag, Berlin Heidelberg.
