A robust state observer scheme

This note proposes a new approach to robust state observer construction. The scheme is derived by including an extra term and adopting the Lyapunov stability theorem, and requires the solution of an algebraic Riccati equation. The scheme is implemented in a gas-fired furnace system example. Satisfactory results have been obtained, though in general special attention need be paid to some numerical issues in implementing the scheme.

[1]  J. Willems Least squares stationary optimal control and the algebraic Riccati equation , 1971 .

[2]  L. Silverman Discrete Riccati Equations: Alternative Algorithms, Asymptotic Properties, and System Theory Interpretations , 1976 .

[3]  B. Anderson,et al.  Optimal control: linear quadratic methods , 1990 .

[4]  Pedro L. D. Peres,et al.  Optimal H2 control by output feedback , 1993 .

[5]  Vincent D. Blondel,et al.  Survey on the State of Systems and Control , 1995, Eur. J. Control.

[6]  Fu Wah Poon Observer based robust fault detection : theory and rolling mill case study , 2000 .

[7]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

[8]  D. Luenberger An introduction to observers , 1971 .

[9]  D. Bernstein Some open problems in matrix theory arising in linear systems and control , 1992 .

[10]  Karolos M. Grigoriadis,et al.  Covariance Controllers: A New Parameterization of the Class of All Stabilizing Controllers , 1990, 1990 American Control Conference.

[11]  I. Petersen Disturbance attenuation and H^{∞} optimization: A design method based on the algebraic Riccati equation , 1987 .

[12]  Duncan McFarlane,et al.  Robust state estimation for uncertain systems , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[13]  L. Ghaoui,et al.  A cone complementarity linearization algorithm for static output-feedback and related problems , 1996, Proceedings of Joint Conference on Control Applications Intelligent Control and Computer Aided Control System Design.

[14]  Lihua Xie,et al.  Robust Kalman filtering for uncertain systems , 1994 .