Recent Advances on Fuzzy Model Based Nonlinear Networked Control Systems: A Survey
In recent years, the analysis and synthesis of fuzzy model based nonlinear networked control systems (NCSs) have received increasing attention from both scientific and industrial communities, and a number of significant results have been proposed. This paper gives a review on recent advances on the analysis and design of fuzzy model based nonlinear NCSs with various network induced limitations such as packet dropouts, time delays, and signal quantization. With these network induced constraints, the developments on various control and filtering design issues are surveyed in details, and some essential technical difficulties are mentioned. Then, some latest results on event triggered control and filtering design of fuzzy model based nonlinear NCSs are also summarized. Finally, some conclusions are drawn and several potential future research topics are highlighted.
IEEE Transactions on Industrial Electronics