A.K.Lohani,N.K.Goel,K.K.S.Bhatia.Takagi-Sugeno Fuzzy Inference System for Modeling Stage-Discharge Relationship. Journal of Hydronautics . 2006Takagi-Sugeno fuzzy inference system for modeling stage-discharge relationship - Lohani, Goel, et al. () Citation Context ...ists of four major ...
However, in[28], the author developed Takagi-Sugeno-Kang (TSK) fuzzy systems with successful applications in various environments where Deep Q-Learning Network (DQN)[29] has illustrated effectiveness. Similar to an Adaptive Network-Based Fuzzy Inference System (ANFIS)[30], this approach leverages ...
针对该问题,提出了一种模糊系统联合稀疏建模新方法L2-CFS-FIS(L2-common feature selection fuzzy inference systems),从而提高模型的泛化性能和可解释性。该方法充分考虑存在于模糊规则间的公共特征信息,同时引入模型过拟合处理机制,将模糊系统建模问题转化为一个基于双正则的联合优化问题,并使用交替方向乘子(alternating ...
A rule base covering the entire input domain is required for the conventional Mamdani inference and Takagi–Sugeno–Kang (TSK) inference. Fuzzy i
The Takagi–Sugeno (T–S) fuzzy model is a system described by fuzzy IF–THEN rules which can give local linear representation of the nonlinear system by decomposing the whole input space into several partial fuzzy spaces and representing each output space with a linear equation. Such a model ...
Takagi-Sugeno (T-S) controllers with few linear control rules are nonlinear variable gain controllers [26], which enable the T-S fuzzy controller to adjust its output to nonlinear system inputs and are easier to implement in real-time [19,27]. T-S fuzzy controller offers embedded gains ...
Takagi-Sugeno模糊模型 1. Based on captured objective input-output data couple, a new ANFIS (adaptive neural network-based fuzzy inference system) framework, which can construct fuzzy membership function and fuzzy rules in Takagi-Sugeno fuzzy model, is used to model and control the complex inverted...
5) Sugeno inference Sugeno推理 1. The pure time delay effects of the controlled object was made up by Smith estimating controller, and the PID controller parameters were adjusted by the fuzzy controller based on Sugeno inference. 针对工业控制中大惯性、纯滞后、参数时变非线性受控对象难于控制...
1) Takagi-Sugeno 高木-关野 1. On medium-term and long-term load forecasting, this paper put forward the model of medium-term and long-term load forecasting based on the Takagi-Sugeno adaptive Neural-Fuzzy inference system by integrate fuzzy theory with neural network. 针对中长期负荷预测,...
2) switched T-S formal fuzzy systems 切换T-S型模糊系统 1. Guaranteed cost control with quadratic stability for a class of switched T-S formal fuzzy systems; 一类切换T-S型模糊系统二次镇定保成本控制 更多例句>> 3) T-S fuzzy inference system T-S型模糊推理系统 1. Aiming at the ...