Besides this example, a nonaffine nonlinear system is illustrated to explain the proposed modeling scheme is more suitable to model the nonaffine nonlinear system into a T-S fuzzy system than some conventional fuzzy modeling schemes.Hsiao, Ming-Ying...
exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization when using affine local model structures, which suggests that a solution to the multi-objective identification problem exists. However, it is also shown that the ...
From another point of view, design of a fuzzy model can be formulated as a search problem in multidimensional space where each point represents a possible fuzzy model with different rule structure, membership functions (MFs), and related parameters [11]. Due to the capability of search irregular...
Firstly, the nonlinear system model is constructed considering the vehicle longitudinal and lateral dynamic behaviors. Then, the Takagi-Sugeno (T-S) fuzzy model is built to approximate the nonlinear model by local linear models with fuzzy rules. Finally, the vehicle controller is devised via fuzzy...
Experiments show that both models perform well under the load free conditions, and the adaptive T-S Fuzzy model can furtherly adapt to the change of load with the online adaptation ability. With the concise expression and satisfactory performance of the adaptive T-S Fuzzy model, a model ...
The final example shows the effectiveness of the proposed method. Introduction Since the T–S (Takagi–Sugeno) fuzzy model was proposed in Takagi and Sugeno (1985), lots of research topics have been studied, such as stability analysis (Ko et al., 2012, Xie et al., 0000), observer design...
stability of sliding mode control (SMC) for a class of nonlinear systems via Takagi Sugeno fuzzy model is guaranteed. An example is given to demonstrate the feasibility and effectiveness of this approach. Key words: Nonlinear system, T-S Fuzzy Model, Sliding Mode Control, LMI. INTRODUCTION Over...
The main objective of this research is to provide a systematic stability analysis technique for fuzzy systems using well-established results from robust stability of a family of polynomials. The model-based Takagi-Sugeno (1985) fuzzy control system is considered and shown to have a dependent coeffic...
Finally, the effectiveness of the proposed Takagi-Sugeno model based fault estimation and signal compensation algorithms is demonstrated by a case study on a 4.8-MW wind turbine benchmark system. 展开 关键词: Robust fault estimation signal compensation Takagi–Sugeno (T–S) fuzzy model wind ...
This paper investigates delay-dependent robust asymptotic state estimation of fuzzy neural networks with mixed interval time-varying delay. In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the robust state estimation of Hopfield neural networks with mixed interval time...