This article studies the asynchronous observer-based output feedback control for the continuous-time networked nonlinear systems via the Takagi–Sugeno (T–S) fuzzy affine models with quantized measurements. To tackle the premise variables’ asynchronous phenomena between the original plant and the observer/controller, an asynchronous piecewise fuzzy affine observer design approach is proposed to estimate the immeasurable system state vectors via making full utilization of some advanced matrix inequalities, a novel existence criterion for the asynchronous observer-based piecewise output feedback controller is derived in an unified convex optimization setup, which successfully relax the constraint that the control input matrices are required to be common and uncertainty-free under each fuzzy rules. Simulation studies are provided to justify the efficacy of the proposed method.

The fuzzy observer-based output feedback control of continuous-time nonlinear two-dimensional (2-D) systems is studied by Takagi–Sugeno (T–S) fuzzy models in this work. The plant information of the 2-D systems evolves along two independent directions dynamically. The nonlinear 2-D systems are firstly expressed by T–S fuzzy models with parameter uncertainties. By a Lyapunov method together with some convexification techniques, two methods are developed for fuzzy observer-based output feedback controller synthesis of the underlying fuzzy 2-D systems, and novel output feedback controller synthesis results are proposed within a convex optimization setup. Simulation studies are provided to illustrate the validity of the proposed methods.

Dongyu Zhang, Minghao Zhang, Heting Zhang, Liang Yang, Hongfei Lin. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

Dongyu Zhang, Heting Zhang, Xikai Liu, Hongfei Lin, Feng Xia. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.