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.