In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
针对复杂非线性动态系统的模糊建模问题，基于T -S模型提出一种自组织模糊辨识算法。
A fuzzy neural network in t s model is constructed. Chaotic mechanism is introduced into the normal BP algorithm to train the weight parameters of the fuzzy neural networks.
出一种T -S模型的模糊神经网络，在通常BP算法的基础上，引进混沌机制来训练模糊神经网络的权值参数。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural fuzzy inference systems (ANFIS) modeling method based on t s model.
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于T S模型的自适应神经模糊推理系统(ANFIS)建模方法。
In the U. S., federal funds for repairing water infrastructure-most of which was built around the same time that Henry Ford built the first Model t-are sorely lacking.
在美国，用于修理供水基础设施(大多建于亨利·福特推出第一辆T型车的时期)的联邦资金极度缺乏。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
采用T - S模糊动态模型描述非线性系统，并将非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Based on T-S fuzzy model, the guaranteed cost control problem of a class of uncertain nonlinear systems with input and state time delay is discussed.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类非线性系统，把模糊t S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
A new fuzzy adaptive control method based on a T-S fuzzy model is proposed for the nonlinear and time-variant navigation systems of sailboats.
针对非线性、时变的帆船航行系统，提出了一种基于T - S模糊模型的帆船模糊自适应控制新方法。
Variable parameter PID control for the controlled object is designed by the method of segment linearization. Furthermore, T-S model based fuzzy PID control strategy is put forward.
通过分析被控对象的特性，采用分段线性化的方法设计变参数PID控制器，进而给出基于T-S模型的模糊PID控制策略；
Through practical applications, the proposed adaptive control technique based on T-S fuzzy model is successful for time-varying systems.
通过实际应用案例表明，提出的基于T - S模型的自适应控制技术在时变系统中是成功的。
This paper introduces the control theory of excitation controller via T-S fuzzy model about single-machine infinite-bus power system.
研究了基于T - S模糊模型控制理论下单机-无穷大电力系统的励磁控制设计。
Research on offline identification of T-S model.
模糊模型离线辨识方法研究。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
A design of T-S model based fuzzy controller for nonlinear system with uncertain time-delay was proposed.
讨论了一类由T - S模糊模型表示的不确定时滞非线性系统的模糊控制器设计问题。
A robust adaptive tracking control method is presented based on the fuzzy T-S model.
提出了一种基于T - S模糊模型和自适应神经网络的跟踪控制方法。
The paper introduces a kind of adaptive neural-fuzzy inference systems (ANFIS) based on T-S model to deal with the modeling problem of the complex soda carbonization process.
针对纯碱碳化过程的复杂建模问题，提出基于T-S模型的自适应神经模糊推理系统（ANFIS）的建模方法。
This paper focuses on the T-S fuzzy model with time delay.
研究一类用t - S模糊模型描述的不确定时滞系统问题。
Fuzzy controller based on T-S model and generalized predictive controller are adopt.
控制采用基于T - S模型的模糊控制器和广义预测控制器。
Fuzzy controller based on T-S model and generalized predictive controller are adopt.
控制采用基于T - S模型的模糊控制器和广义预测控制器。
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