Abstract
This paper is devoted to controlling a class of nonlinear systems over a communication network in the presence of packet transmission delays, packet losses, quantization errors, and sampling-related phenomena. Specifically, based on the Takagi–Sugeno (T–S) fuzzy approach, this paper presents a way of designing a quantized controller that allows all the states of nonlinear NCSs to converge exponentially to a bounded ellipsoid. In particular, this paper provides a method capable of exploiting fully the time-varying delay term d(t), induced by Jensen inequality, for nonlinear NCSs.
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This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012013687).
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Kim, S.H. T–S fuzzy control design for a class of nonlinear networked control systems. Nonlinear Dyn 73, 17–27 (2013). https://doi.org/10.1007/s11071-013-0763-5
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DOI: https://doi.org/10.1007/s11071-013-0763-5