H-/H∞ fault detection observer design for two-dimensional Roesser systems

Abstract This paper addresses the problem of H − / H ∞ fault detection for two-dimensional (2-D) systems with disturbances in Roesser model. A fault detection observer is designed to satisfy a finite frequency H − index and an H ∞ index simultaneously. The finite frequency H − index is used to increase the fault sensitivity in low frequency domain while the H ∞ index is used to attenuate the effects of disturbances in full frequency domain. By the generalized Kalman–Yakubovich–Popov lemma and some useful lemmas, sufficient design conditions are obtained. An example is given to illustrate the effectiveness of the proposed method.

[1]  Cishen Zhang,et al.  Generalized Two-Dimensional Kalman–Yakubovich–Popov Lemma for Discrete Roesser Model , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  R. Roesser A discrete state-space model for linear image processing , 1975 .

[3]  J. Geromel,et al.  Extended H 2 and H norm characterizations and controller parametrizations for discrete-time systems , 2002 .

[4]  Maria Elena Valcher,et al.  The general fault detection and isolation problem for 2D state-space models , 2006, Syst. Control. Lett..

[5]  Yixin Yin,et al.  Further studies on relaxed stabilization conditions for discrete-time two-dimension Takagi-Sugeno fuzzy systems , 2012, Inf. Sci..

[6]  Zhiping Lin,et al.  Robust H Filtering for Uncertain 2-D Continuous Systems , 2005 .

[7]  S. Hara,et al.  Robust control synthesis with general frequency domain specifications: static gain feedback case , 2004, Proceedings of the 2004 American Control Conference.

[8]  Wojciech Paszke,et al.  Robust H/sub /spl infin// filtering for Uncertain2-D continuous systems , 2005, IEEE Transactions on Signal Processing.

[9]  Lihua Xie,et al.  H[∞] control and filtering of two-dimensional systems , 2002 .

[10]  R. Eising Controllability and observability of 2-D systems , 1979 .

[11]  Zhiping Lin,et al.  Analysis and design of unknown input observers for a class of 2-D nonlinear systems , 2013, Multidimens. Syst. Signal Process..

[12]  G. Marchesini,et al.  State-space realization theory of two-dimensional filters , 1976 .

[13]  R. J. Patton,et al.  An LMI approach to H - /H∞ fault detection observers , 2002 .

[14]  Lorenzo Ntogramatzidis,et al.  Geometric techniques for implicit two-dimensional systems , 2013, Multidimens. Syst. Signal Process..

[15]  Jian Liu,et al.  An LMI approach to minimum sensitivity analysis with application to fault detection , 2005, Autom..

[16]  E. Rogers,et al.  Stability and controllability of a class of 2-D linear systems with dynamic boundary conditions , 2002 .

[17]  Steven X. Ding,et al.  Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .

[18]  K. Galkowski,et al.  Positive real control for uncertain two-dimensional systems , 2002 .

[19]  Wei Xing Zheng,et al.  Generalized H2 fault detection for two-dimensional Markovian jump systems , 2012, Autom..

[20]  Erik Weyer,et al.  Simultaneous Fault Detection Of Heat Exchangers , 1998 .

[21]  T. Kaczorek Two-Dimensional Linear Systems , 1985 .

[22]  Torsten Jeinsch,et al.  A unified approach to the optimization of fault detection systems , 2000 .

[23]  Zhiping Lin,et al.  The existence and design of functional observers for two-dimensional systems , 2012, Syst. Control. Lett..

[24]  T. Hinamoto Stability of 2-D discrete systems described by the Fornasini-Marchesini second model , 1997 .

[25]  S. Shankar Sastry,et al.  Special issue on “Networked Embedded Hybrid Control Systems” , 2008 .

[26]  Maria Elena Valcher,et al.  Observer-based Fault Detection and Isolation for 2D State-space Models , 2006, Multidimens. Syst. Signal Process..

[27]  Guo-Ping Liu,et al.  Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms , 1996, Int. J. Syst. Sci..

[28]  Huijun Gao,et al.  Robust finite frequency Hinfinity filtering for uncertain 2-D Roesser systems , 2012, Autom..

[29]  Heng Wang,et al.  A finite frequency domain approach to fault detection for linear discrete-time systems , 2008, Int. J. Control.

[30]  David Henry,et al.  Norm-based design of robust FDI schemes for uncertain systems under feedback control: Comparison of two approaches , 2006 .

[31]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[32]  Guanghong Yang,et al.  Fault Detection Observer Design in Low Frequency Domain for Linear Time-delay Systems , 2009 .

[33]  Imad M. Jaimoukha,et al.  A matrix factorization solution to the I fault detection problem , 2006, Autom..

[34]  Lorenzo Ntogramatzidis,et al.  Detectability subspaces and observer synthesis for two-dimensional systems , 2012, Multidimens. Syst. Signal Process..

[35]  Lihua Xie,et al.  H/sub /spl infin// reduced-order approximation of 2-D digital filters , 2001 .

[36]  Guang-Hong Yang,et al.  A finite frequency domain approach to fault detection observer design for linear continuous‐time systems , 2008 .

[37]  K. Khorasani,et al.  Geometric fault detection and isolation of two-dimensional (2D) systems , 2013, ACC.

[38]  W. Marszalek Two-dimensional state-space discrete models for hyperbolic partial differential equations , 1984 .

[39]  Tamal Bose,et al.  Stability of the 2-D Givone–Roesser Model With Periodic Coefficients , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.