This paper presents sufficient conditions on the parameters of the Takagi–Sugeno–Kang (TSK) fuzzy system under which the output of the TSK fuzzy system becomes monotonic with respect to its input. The output o
We propose reinforcement learning (RL) with Takagi-Sugeno-Kang (TSK) fuzzy systems and highlight the value of exploring the intersection of RL and fuzzy logic in producing explainable systems.
Keywords:Imagefusion;Supervisedlearning;TakagiSugenoKang(TSK)fuzzysystem 1 引言 图像融合【 1是通过一种特定算法将两幅或多幅 图像合成为一幅新图像的过程。近年来,在已有的 图像融合方法中又以神经网络图像融合领域的成果 较丰富,其可进一步分为脉冲耦合神经网络图像融 ...
The Takagi-Sugeno systems (for short, to be denoted TS) are one of the most common fuzzy models. In such systems consequents are functions of inputs. This chapter shows a modification of such models as members of an classifier ensemble. The problem of incapability of merging several rule ...
Nonlinear singular systemsTakagi-Sugeno fuzzy modelObserver-based controlProportional derivative design methodThis study investigates the issue of stability analysis and controller synthesis for nonlinear singular systems. Via applying a fuzzy modeling approach, the nonlinear singular system is expressed by a ...
This paper introduces a Takagi-Sugeno (T-S) fuzzy regulator design using the negative absolute eigenvalue (NAE) approach for a class of nonlinear and unstable systems. The open-loop system is initially embodied by the traditional T-S fuzzy model and then
Output-feedback control design for Takagi-Sugeno fuzzy systems through Lyapunov functions depending polynomially on the states Fuzzy Sets and Systems Volume 499, 15 January 2025, Page 109156 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic...
A rule base covering the entire input domain is required for the conventional Mamdani inference and Takagi–Sugeno–Kang (TSK) inference. Fuzzy i
Firstly, the interval-type-2 Takagi-Sugeno fuzzy model is built to deal with the nonlinear NCSs. Secondly, to reduce the burden on communication resources, the dynamic quantization is introduced from measurement-output and control-input. Considering the existence of DoS attacks in network channel, ...
This paper investigates the construction of a fuzzy functional observer for nonlinear systems with time-delays, and the application of the observer to estimate the state functions of the parallel distributed compensation controller for stabilizing the system. Two types of time-delays are considered: con...