Composite anti-disturbance resilient control for Markovian jump nonlinear systems with general uncertain transition rate

Abstract

In this paper, the issue of disturbance observer based resilient control is addressed for Markovian jump nonlinear systems with multiple disturbances and general uncertain transition rates. The disturbances are divided into two parts: one has a bounded H2 norm, and the other is given by an exogenous system. The general uncertain transition rate matrix is composed of unknown elements and uncertain ones. The uncertain transition rate only has a known approximate range. First, the disturbance described by the exogenous system is estimated by a disturbance observer, and its estimation is used for the controller as feedforward compensation. Subsequently, by using the resilient control method, a composite anti-disturbance resilient controller is constructed to guarantee stochastic stability with L2L performance of the closed-loop systems. Subsequently, the Lyapunov stability method and linear matrix inequality technique are applied to obtain the controller gain. Finally, an application example is provided to illustrate the effectiveness of the proposed approach.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61773235, 61773236), Taishan Scholar Project of Shandong Province (Grant No. TSQN20161033), Program for Scientific Research Innovation Team in Colleges and Universities of Shandong Province, Natural Science Foundation of Shandong Province (Grant No. ZR2016FQ09), and Postdoctoral Science Foundation of China (Grant No. 2017M612236).

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Correspondence to Haibin Sun.

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Zong, G., Li, Y. & Sun, H. Composite anti-disturbance resilient control for Markovian jump nonlinear systems with general uncertain transition rate. Sci. China Inf. Sci. 62, 22205 (2019). https://doi.org/10.1007/s11432-017-9448-8

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Keywords

  • composite anti-disturbance control
  • resilient controller
  • Markovian jump nonlinear systems
  • general uncertain transition probabilities
  • multiple disturbances
  • L2L performance