Set-theoretic estimation

This chapter is mainly devoted to evidencing difficulties of the set-theoretic approach in dealing with output feedback problems. Therefore the chapter (apparently the shortest of the book) will be essentially conceptual rather than technical. We will be interested in set-theoretic state estimation, and we will not consider, if not in passing, the problem of set-theoretic system identification. Given an uncertain system with output measurements, a set-theoretic estimator provides a set which includes at each time all the state vectors which are compatible with available measurements and given disturbance specification.

[1]  Giorgio Battistelli,et al.  Receding-horizon estimation for discrete-time linear systems , 2003, IEEE Trans. Autom. Control..

[2]  F. Schweppe,et al.  Control of linear dynamic systems with set constrained disturbances , 1971 .

[3]  Fred C. Schweppe,et al.  Uncertain dynamic systems , 1973 .

[4]  H. Witsenhausen Sets of possible states of linear systems given perturbed observations , 1968 .

[5]  Jeff S. Shamma,et al.  Set-valued observers and optimal disturbance rejection , 1999, IEEE Trans. Autom. Control..

[6]  Franco Blanchini,et al.  Stabilization of LPV Systems: State Feedback, State Estimation, and Duality , 2003, SIAM J. Control. Optim..

[7]  A. Kurzhanski,et al.  Ellipsoidal Calculus for Estimation and Control , 1996 .

[8]  R. Tempo,et al.  Optimal algorithms theory for robust estimation and prediction , 1985 .

[9]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[10]  W. Ukovich,et al.  Linear programming approach to the control of discrete-time periodic systems with uncertain inputs , 1993 .

[11]  L. Chisci,et al.  Feasibility in predictive control of constrained linear systems: the output feedback case , 2002 .

[12]  J. Shamma,et al.  Approximate set-valued observers for nonlinear systems , 1997, IEEE Trans. Autom. Control..

[13]  Zvi Artstein,et al.  Set invariance under output feedback: a set-dynamics approach , 2011, Int. J. Syst. Sci..

[14]  A. Vicino,et al.  Sequential approximation of feasible parameter sets for identification with set membership uncertainty , 1996, IEEE Trans. Autom. Control..

[15]  M. Milanese,et al.  Estimation theory and uncertainty intervals evaluation in presence of unknown but bounded errors: Linear families of models and estimators , 1982 .

[16]  B. Kouvaritakis,et al.  Observers in nonlinear model-based predictive control , 2000 .

[17]  D. Bertsekas,et al.  On the minimax reachability of target sets and target tubes , 1971 .

[18]  David Q. Mayne,et al.  Robust output feedback model predictive control of constrained linear systems , 2006, Autom..

[19]  D. Bertsekas,et al.  Recursive state estimation for a set-membership description of uncertainty , 1971 .

[20]  F. Blanchini,et al.  Constrained stabilization with an assigned initial condition set , 1995 .

[21]  A. Garulli,et al.  Output-feedback predictive control of constrained linear systems via set-membership state estimation , 2000 .