New unbiased H infinity functional filters designs for discrete-time linear systems: Time and frequency domains approaches

Purpose – The purpose of this paper is to propose solutions for both discrete‐time and frequency‐domain designs of unbiased H∞ functional filters for discrete‐time linear systems affected by bounded norm energy disturbances.Design/methodology/approach – The discrete‐time procedure design is based on the unbiasedness of the functional filter using a Sylvester equation; then the problem is expressed in a singular system one and is solved in terms of linear matrix inequalities (LMIs). The frequency procedure design is derived from discrete‐time domain results by defining some useful matrix fraction descriptions and mainly, establishing the useful and equivalent form of the connecting relationship that parameterizes the dynamics behavior between discrete‐time and z‐domain.Findings – The performance of the proposed approach is illustrated with the aid of a practical example. The proposed methods are easily implementable and concern a more general class of systems, as the transformation of the system in a singu...

[1]  Mohamed Darouach Existence and design of functional observers for linear systems , 2000, IEEE Trans. Autom. Control..

[2]  Chia-Chi Tsui A new algorithm for the design of multifunctional observers , 1985, IEEE Transactions on Automatic Control.

[3]  Peter Hippe,et al.  Optimal reduced-order estimators in the frequency domain: the discrete-time case , 1990 .

[4]  Paul M. Frank,et al.  Robust observer design via factorization approach , 1990, 29th IEEE Conference on Decision and Control.

[5]  Peter Hippe,et al.  Design of observer based compensators: The polynomial approach , 1991, Kybernetika.

[6]  John O'Reilly,et al.  Observers for Linear Systems , 1983 .

[7]  Mohamed Darouach,et al.  Optimal unbiased reduced order filtering for discrete-time descriptor systems via LMI , 2009, Syst. Control. Lett..

[8]  Yuanqing Xia,et al.  New bounded real lemma for discrete-time singular systems , 2008, Autom..

[9]  Zhengrong Xiang,et al.  Non-fragile observer design for nonlinear switched systems with time delay , 2009, Int. J. Intell. Comput. Cybern..

[10]  Joachim Deutscher,et al.  Design of Observer-based Compensators: From the Time to the Frequency Domain , 2009 .

[11]  D. Luenberger Observers for multivariable systems , 1966 .

[12]  Mohamed Darouach,et al.  Robust reduced order unbiased filtering via LMI , 2001, 2001 European Control Conference (ECC).

[13]  John B. Moore,et al.  Minimal order observers for estimating linear functions of a state vector , 1975 .

[14]  Shou-Yuan Zhang,et al.  Functional observer and state feedback , 1987 .

[15]  Brian D. O. Anderson,et al.  Matrix fraction construction of linear compensators , 1985 .

[16]  Chen Wang,et al.  Self-Scheduled LPV Control of a Wind Driven Doubly-Fed Induction Generator , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[17]  T. Bullock,et al.  A frequency domain approach to minimal-order observer design for several linear functions of the state , 1975, 1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes.

[18]  Mathukumalli Vidyasagar,et al.  Control System Synthesis , 1985 .

[19]  K. Grigoriadis,et al.  Optimal unbiased filtering via linear matrix inequalities , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[20]  L. Dai,et al.  Singular Control Systems , 1989, Lecture Notes in Control and Information Sciences.

[21]  S. Ding,et al.  Parameterization of linear observers and its application to observer design , 1994, IEEE Trans. Autom. Control..

[22]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in System and Control Theory , 1994, Studies in Applied Mathematics.

[23]  Paul Van Dooren Reduced order observers: A new algorithm and proof , 1984 .

[24]  P. Hippe,et al.  Design of reduced-order optimal estimators directly in the frequency domain , 1989 .

[25]  Harouna Souley Ali Observateurs robustes d'ordre réduit pour les systèmes linéaires et bilinéaires incertains , 2002 .

[26]  A.G.J. Macfarlane,et al.  Return-difference matrix properties for optimal stationary Kalman-Bucy filter , 1971 .

[27]  Ahmed Rahmani Synthèse d'observateurs , 2010 .