查询词典 S.T.S.

Moreover, most delayed intelligent systems composed of neural networks or T-S fuzzy models can be depicted as SNNM for controller synthesis.

另外大多数包含神经网络或T-S模糊模型的时滞智能系统也都可以转化为SNNM的形式，以便于用统一的方法进行控制器的综合。

In order to implement nonlinear predictive control for the controlled plant, a T-S fuzzy predictive model is built on-line by using fuzzy clustering and linear identification, and discrete optimization of the control action is carried out according to the principle of Branch and Bound method.

算法由两部分组成：第一部分采用模糊聚类和线性辨识方法在线建立系统的T-S模糊预测模型；第二部分基于分支定界法的基本原理对控制量进行离散寻优，从而实现对象的非线性预测控制。

The system structure of generalized Lorenz canonical form is reconstructed based on T-S model.

针对广义Lorenz规范式结构，基于T-S模型进行了系统的模糊重构；利用Lyapunov稳定性理论和反馈同步的思想实现了重构系统的同步，并推导了误差系统以衰减率α实现全局渐近稳定的充分条件。

In this thesis, we mainly consider the following problem: global min f s.t where is a closed interval,and is over .

本文主要考虑如下全局优化问题： global min f s.t 其中为一闭区间，为上的函数。

This paper proposes an approach to improve the conservatism of those stability conditions of T-S fuzzy system.

提出一种改进的方法以降低T-S模糊系统稳定性判定方法的保守性。

However every single-machine subsystem of the power system can be approximated by a set of T-S fuzzy models in this paper, the consequent part of every model has a constant bias term, every fuzzy model represents a linearized m.

模型未知的仿射型多机耦合电力系统用一系列T-S 模糊模型逼近，且模糊模型的结论部分具有常数偏差项。

A class of uncertainty T-S dynamical fuzzy systems is given using the Lyapunov function method.The non-fragile controller design of continuous uncertain dynamical fuzzy system is given.

首先给出不确定T-S动态模糊系统的模型；然后利用Lyapunov函数方法，研究连续不确定动态模糊系统的非脆弱控制器设计，得到基于LMI的不确定动态模糊系统的全局渐近稳定性条件。

X, s. t. g≤0(i=1, 2,…, m), where x∈R and ? g: R→R are twice continuously differentiable convex function.

x，s.t.g≤0(i=1， 2，…， m)，其中，x∈R；f，g：R→R为二次连续可微凸函数。

Consider the convex programming problems min, s. t. g≤0(i=1, 2,…, m), where x∈R and g: R→R are twice continuously differentiable convex function.

对于凸规划问题min，s.t.g≤0(i=1， 2，…， m)，其中，x∈R；f，g：R→R为二次连续可微凸函数。

Adaptive control for a class of T-S fuzzy systems is studied.

3研究了一类T-S模糊系统的自适应控制问题。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。