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Sensor fault reconstruction for a class of 2-D nonlinear systems with application to fault compensation

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Abstract

This paper considers the problem of sensor fault reconstruction and compensation for a class of two dimensional (2-D) nonlinear systems. The 2-D nonlinear system is described by the Fornasini–Marchesini local state-space second model with Lipschitz nonlinearity. The sensor fault considered in this study could be of arbitrary form and its size can be even unbounded. An integrated fault/state observer is proposed to obtain the asymptotic estimation of sensor faults and system states at the same time. A sufficient condition for the existence of the integrated observer is given in terms of linear matrix inequalities. \(H_\infty \) sensor fault estimation/reconstruction is also considered for the 2-D nonlinear system when there are both sensor faults and input disturbances. Based on the estimation of sensor faults, a sensor compensation scheme can be performed by subtracting the fault term from the measurement output, and the existing output feedback controller can run normally without the switchover of sensors or reconfiguration when sensor faults occur. An example is provided to illustrate the effectiveness of the proposed method for both sensor fault reconstruction and compensation.

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References

  • Bisiacco, M. (1985). On the state reconstruction of 2D systems. Systems & Control Letters, 5(5), 347–353.

    Article  MATH  MathSciNet  Google Scholar 

  • Bisiacco, M., & Valcher, M. E. (2004). Unknown input observers for 2D state-space models. International Journal of Control, 77(9), 861–876.

    Article  MATH  MathSciNet  Google Scholar 

  • Bisiacco, M., & Valcher, M. E. (2006). The general fault detection and isolation problem for 2D state-space models. Systems & Control Letters, 55(11), 894–899.

    Article  MATH  MathSciNet  Google Scholar 

  • Boyd, S. P., El Ghaoui, L., Feron, E., & Balakrishnan, V. (1994). Linear matrix inequalities in system and control theory (Vol. 15). Philadelphia: SIAM.

    Book  MATH  Google Scholar 

  • Chen, X., Lam, J., Gao, H., & Zhou, S. (2013). Stability analysis and control design for 2-D fuzzy systems via basis-dependent Lyapunov functions. Multidimensional Systems and Signal Processing, 24(3), 395–415.

    Article  MATH  MathSciNet  Google Scholar 

  • Du, C., & Xie, L. (1999). Stability analysis and stabilization of uncertain two-dimensional discrete systems: An LMI approach. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 46(11), 1371–1374.

    Article  MATH  Google Scholar 

  • Dumitrescu, B. (2008). LMI stability tests for the Fornasini–Marchesini model. IEEE Transactions on Signal Processing, 56(8), 4091–4095.

    Article  MathSciNet  Google Scholar 

  • Fornasini, E., & Marchesini, G. (1976). State-space realization theory of two-dimensional filters. IEEE Transactions on Automatic Control, 21(4), 484–492.

    Article  MATH  MathSciNet  Google Scholar 

  • Fornasini, E., & Marchesini, G. (1978). Doubly-indexed dynamical systems: State-space models and structural properties. Mathematical Systems Theory, 12(1), 59–72.

    Article  MATH  MathSciNet  Google Scholar 

  • Gao, Z., & Ding, S. (2007). Sensor fault reconstruction and sensor compensation for a class of nonlinear state-space systems via a descriptor system approach. IET Control Theory & Applications, 1(3), 578–585.

    Article  MathSciNet  Google Scholar 

  • Hinamoto, T. (1993). 2-D Lyapunov equation and filter design based on the Fornasini–Marchesini second model. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 40(2), 102–110.

    Article  MATH  Google Scholar 

  • Hinamoto, T. (1997). Stability of 2-D discrete systems described by the Fornasini–Marchesini second model. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 44(3), 254–257.

    Article  MathSciNet  Google Scholar 

  • Kaczorek, T. (1985). Two-dimensional linear systems. Berlin: Springer.

    MATH  Google Scholar 

  • Khalil, H. K., & Grizzle, J. (2002). Nonlinear systems (Vol. 3). New Jersey: Prentice hall Upper Saddle River.

    MATH  Google Scholar 

  • Kurek, J. (2014). Stability of nonlinear time-varying digital 2-D Fornasini–Marchesini system. Multidimensional Systems and Signal Processing, 25(1), 235–244.

    Article  MATH  MathSciNet  Google Scholar 

  • Li, L., Xu, L., & Lin, Z. (2013). Stability and stabilisation of linear multidimensional discrete systems in the frequency domain. International Journal of Control, 86(11), 1969–1989.

    Article  MathSciNet  Google Scholar 

  • Li, H., & Shi, Y. (2014). Network-based predictive control for constrained nonlinear systems with two-channel packet dropouts. IEEE Transactions on Industrial Electronics, 61(3), 1574–1582.

    Article  Google Scholar 

  • Li, X., Ho, J. L., & Liu, M. (2014). Robust iterative learning control with rectifying action for nonlinear discrete time-delayed systems. Multidimensional Systems and Signal Processing, 25(4), 723–739.

    Article  Google Scholar 

  • Liang, J., Wang, Z., Liu, X., & Louvieris, P. (2012). Robust synchronization for 2-D discrete-time coupled dynamical networks. IEEE Transactions on Neural Networks and Learning Systems, 23(6), 942–953.

    Article  Google Scholar 

  • Liang, J., Wang, Z., & Liu, X. (2014). Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation. Multidimensional Systems and Signal Processing, 25(1), 157–177.

    Article  MATH  MathSciNet  Google Scholar 

  • Liang, J., Wang, Z., Liu, Y., & Liu, X. (2014). State estimation for two-dimensional complex networks with randomly occurring nonlinearities and randomly varying sensor delays. International Journal of Robust and Nonlinear Control, 24(1), 18–38.

    Article  MATH  MathSciNet  Google Scholar 

  • Liu, D. (1998). Lyapunov stability of two-dimensional digital filters with overflow nonlinearities. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 45(5), 574–577.

    Article  MATH  MathSciNet  Google Scholar 

  • Liu, Q., Wang, Z., He, X., & Zhou, D. (2014). A survey of event-based strategies on control and estimation. Systems Science & Control Engineering: An Open Access Journal, 2(1), 90–97.

    Article  Google Scholar 

  • Marszalek, W. (1984). Two-dimensional state-space discrete models for hyperbolic partial differential equations. Applied Mathematical Modelling, 8(1), 11–14.

    Article  MATH  MathSciNet  Google Scholar 

  • Ooba, T. (2000). On stability analysis of 2-D systems based on 2-D Lyapunov matrix inequalities. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 47(8), 1263–1265.

    Article  MathSciNet  Google Scholar 

  • Qin, L., He, X., & Zhou, D. (2014). A survey of fault diagnosis for swarm systems. Systems Science & Control Engineering: An Open Access Journal, 2(1), 13–23.

    Article  Google Scholar 

  • Roesser, R. P. (1975). A discrete state-space model for linear image processing. IEEE Transactions on Automatic Control, 20(1), 1–10.

    Article  MATH  MathSciNet  Google Scholar 

  • Shawash, J., & Selviah, D. R. (2013). Real-time nonlinear parameter estimation using the Levenberg–Marquardt algorithm on field programmable gate arrays. IEEE Transactions on Industrial Electronics, 60(1), 170–176.

    Article  Google Scholar 

  • Souza, C. E., & Osowsky, J. (2013). Gain-scheduled control of two-dimensional discrete-time linear parameter-varying systems in the Roesser model. Automatica, 49(1), 101–110.

    Article  MATH  MathSciNet  Google Scholar 

  • Wang, L., Xu, H., Xu, L., & Lin, Z. (2013). Analysis and design of unknown input observers for a class of 2-D nonlinear systems. Multidimensional Systems and Signal Processing, 24(4), 621–635.

    Article  MATH  MathSciNet  Google Scholar 

  • Wu, L., Shi, P., Gao, H., & Wang, C. (2008). H\(\infty \) filtering for 2D Markovian jump systems. Automatica, 44(7), 1849–1858.

    Article  MATH  MathSciNet  Google Scholar 

  • Wu, L., Yao, X., & Zheng, W. X. (2012). Generalized H2 fault detection for two-dimensional Markovian jump systems. Automatica, 48(8), 1741–1750.

    Article  MATH  MathSciNet  Google Scholar 

  • Xu, H., & Zou, Y. (2010). Robust H\(\infty \) filtering for uncertain two-dimensional discrete systems with state-varying delays. International Journal of Control, Automation and Systems, 8(4), 720–726.

    Article  MathSciNet  Google Scholar 

  • Xu, H., Lin, Z., & Makur, A. (2012). The existence and design of functional observers for two-dimensional systems. Systems & Control Letters, 61(2), 362–368.

    Article  MATH  MathSciNet  Google Scholar 

  • Yang, R., Xie, L., & Zhang, C. (2006). H2 and mixed H2/H\(\infty \) control of two-dimensional systems in Roesser model. Automatica, 42(9), 1507–1514.

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgments

This work was supported by National Natural Science Foundation of China (61374099, 61210012, and 61290324), the Program for New Century Excellent Talents in University (NCET-13-0652), and Fundamental Research Funds for the Central Universities of China (YS1404).

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Correspondence to Youqing Wang.

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Zhao, D., Zhou, D. & Wang, Y. Sensor fault reconstruction for a class of 2-D nonlinear systems with application to fault compensation. Multidim Syst Sign Process 26, 1061–1080 (2015). https://doi.org/10.1007/s11045-015-0324-9

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  • DOI: https://doi.org/10.1007/s11045-015-0324-9

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