Full order H∞ filtering for linear systems in the frequency domain

This paper proposes an easier frequency domain solution to the standard H∞ filtering problem using a polynomial approach. The design of the H∞ filter in the frequency domain is first obtained from the time domain solution which is related to a Riccati equation, and then by the use of the connecting relationship between the time and frequency domain approach given by Hippe [8], its representation in the frequency domain is derived. The filter is easy to calculate as it requires the computation of a single gain and it is easily implementable also. A numerical example is given to illustrate the presented approach.

[2]  M. Darouach,et al.  Full-order observers for linear systems with unknown inputs , 1994, IEEE Trans. Autom. Control..

[3]  H. Rosenbrock,et al.  State-space and multivariable theory, , 1970 .

[4]  P. Khargonekar,et al.  State-space solutions to standard H/sub 2/ and H/sub infinity / control problems , 1989 .

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

[6]  Lihua Xie,et al.  Filtering for discrete-time linear noise delay systems , 2009 .

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

[8]  Chenghui Zhang,et al.  Optimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement , 2008 .

[9]  T. Bullock,et al.  A frequency domain approach to minimal-order observer design for several linear functions of the state , 1975 .

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

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

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

[13]  Horacio J. Marquez,et al.  A frequency domain approach to state estimation , 2003, J. Frankl. Inst..

[14]  P. Khargonekar,et al.  State-space solutions to standard H2 and H∞ control problems , 1988, 1988 American Control Conference.

[15]  P. Khargonekar,et al.  State-space solutions to standard H2 and H(infinity) control problems , 1989 .

[16]  Michael J. Grimble,et al.  Polynomial Matrix Solution of the H/Infinity/ Filtering Problem and the Relationship to Riccati Equation State-Space Results , 1993, IEEE Trans. Signal Process..

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

[18]  Ai-Guo Wu,et al.  Robust H-infinity estimation for linear time-delay systems: An improved LMI approach , 2009 .

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

[20]  Joachim Deutscher,et al.  DESIGN OF OBSERVER BASED COMPENSATORS , 2009 .

[21]  V. Popov Some properties of the control systems with irreducible matrix — Transfer functions , 1970 .

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

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

[24]  Leonid M. Fridman,et al.  Frequency domain input-output analysis of sliding mode observers , 2006, 2006 American Control Conference.

[25]  B. Francis,et al.  A Course in H Control Theory , 1987 .