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A new compensation for fuzzy static output-feedback control of nonlinear networked discrete-time systems

Journal Article


Abstract


  • This paper investigates the problem of static output-feedback control of discrete-time nonlinear networked control systems with data packet dropouts on the basis of the fuzzy-model-based Takagi-Sugeno (T-S) approach. The nonlinear system is modeled via T-S fuzzy model. Both imperfect sensor-to-controller (S/C) and controller-to-actuator (C/A) links are considered via a novel data model. Some slack matrices are introduced to reduce the conservativeness. By constructing fuzzy Lyapunov function, the sufficient conditions are derived to guarantee the resulting closed-loop system to be stochastically stable as well as the predefined H∞ performance index. Finally, some simulation results are given to demonstrate the effectiveness of the proposed results.

Authors


Publication Date


  • 2016

Citation


  • L. Wang, H. Du, C. Wu & H. Li, "A new compensation for fuzzy static output-feedback control of nonlinear networked discrete-time systems," Signal Processing, vol. 120, pp. 255-265, 2016.

Scopus Eid


  • 2-s2.0-84944393234

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4727

Number Of Pages


  • 10

Start Page


  • 255

End Page


  • 265

Volume


  • 120

Abstract


  • This paper investigates the problem of static output-feedback control of discrete-time nonlinear networked control systems with data packet dropouts on the basis of the fuzzy-model-based Takagi-Sugeno (T-S) approach. The nonlinear system is modeled via T-S fuzzy model. Both imperfect sensor-to-controller (S/C) and controller-to-actuator (C/A) links are considered via a novel data model. Some slack matrices are introduced to reduce the conservativeness. By constructing fuzzy Lyapunov function, the sufficient conditions are derived to guarantee the resulting closed-loop system to be stochastically stable as well as the predefined H∞ performance index. Finally, some simulation results are given to demonstrate the effectiveness of the proposed results.

Authors


Publication Date


  • 2016

Citation


  • L. Wang, H. Du, C. Wu & H. Li, "A new compensation for fuzzy static output-feedback control of nonlinear networked discrete-time systems," Signal Processing, vol. 120, pp. 255-265, 2016.

Scopus Eid


  • 2-s2.0-84944393234

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4727

Number Of Pages


  • 10

Start Page


  • 255

End Page


  • 265

Volume


  • 120