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H Filtering with Randomly Occurring Sensor Saturations and Missing Measurements

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Abstract

In Chap. 5, the H filtering problem is studied for a class of nonlinear systems with randomly occurring incomplete information, where the considered incomplete information includes both the sensor saturations and the missing measurements. A new phenomenon of sensor saturation, namely, randomly occurring sensor saturation (ROSS), is first put forward in order to better reflect the reality in a networked environment. Then, a novel sensor model is established to account for both the ROSS and missing measurement in a unified representation. Based on this sensor model, a regional H filter with a certain ellipsoid constraint is designed such that the filtering error dynamics is locally mean-square asymptotically stable and the H −norm requirement is satisfied.

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References

  1. Cao, Y., Lin, Z., Chen, B.: An output feedback H controller design for linear systems subject to sensor nonlinearities. IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. 50(7), 914–921 (2003)

    Article  MathSciNet  Google Scholar 

  2. Cao, Y., Lin, Z., Ward, D.: An antiwindup approach to enlarging domain of attraction for linear systems subject to actuator saturation. IEEE Trans. Autom. Control 47(1), 140–145 (2002)

    Article  MathSciNet  Google Scholar 

  3. Cao, Y., Lin, Z., Ward, D.: H antiwindup design for linear systems subject to input saturation. J. Guid. Control Dyn. 25(3), 455–463 (2002)

    Article  Google Scholar 

  4. Hu, T., Lin, Z., Chen, B.: Analysis and design for discrete-time linear systems subject to actuator saturation. Syst. Control Lett. 45(2), 97–112 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  5. Xiao, Y., Cao, Y., Lin, Z.: Robust filtering for discrete-time systems with saturation and its application to transmultiplexers. IEEE Trans. Signal Process. 52(2), 1266–1277 (2004)

    Article  MathSciNet  Google Scholar 

  6. Yang, F., Li, Y.: Set-membership filtering for systems with sensor saturation. Automatica 45(8), 1896–1902 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  7. Zuo, Z., Ho, D.W.C., Wang, Y.: Fault tolerant control for singular systems with actuator saturation and nonlinear perturbation. Automatica 46(3), 569–576 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  8. Zuo, Z., Wang, J., Huang, L.: Output feedback H controller design for linear discrete-time systems with sensor nonlinearities. IEE Proc., Control Theory Appl. 152(1), 9–26 (2005)

    Article  Google Scholar 

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© 2013 Springer-Verlag London

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Shen, B., Wang, Z., Shu, H. (2013). H Filtering with Randomly Occurring Sensor Saturations and Missing Measurements. In: Nonlinear Stochastic Systems with Incomplete Information. Springer, London. https://doi.org/10.1007/978-1-4471-4914-9_5

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  • DOI: https://doi.org/10.1007/978-1-4471-4914-9_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4913-2

  • Online ISBN: 978-1-4471-4914-9

  • eBook Packages: EngineeringEngineering (R0)

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