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stability conditions相关的网络例句

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与 stability conditions 相关的网络例句 [注:此内容来源于网络,仅供参考]

New stability conditions of T-S fuzzy control systems are proposed via constructing the continuous piecewise smooth Lyapunov function.

通过构造连续分段光滑Lyapunov函数,提出了新的T-S模糊控制系统的稳定性条件。

By the supplementary variable method the steady state equations and probability generating function for the customer number in the system including one customer in service are obtained. The stability conditions under which the steady state solution exists, the average customer number and the average sojourn time in the system.

通过补充变量法,首先建立了系统稳态下的状态转移方程,用概率母函数的方法求解得到了稳态下系统队长的概率母函数,进而求出系统稳态解存在的稳态条件和稳态下系统的平均队长和顾客在系统中的平均逗留时间。

Stability conditions are derived from quadratic stabilization and linear matrix inequality and the simulation of an inverted pendulum tested the efficiency of the design method.

本文运用模糊观测器的概念与设计方法设计了模糊控制器,并将系统的稳定性条件转换为求解一个满

In neural networks learning, the Sigmoid function is improved and the stability conditions of backpropagation algorithm is analyzed theoretically.

在神经网络学习中,改进了前向神经网络中Sigmoid作用函数表达式,并在理论上分析了反向传播修正权值的迭代算法稳定收敛的充分条件。

The description of network delays including characteristics and effects are also covered and the uniformed mathematic models for NCSs with four different structures are derived. Furthermore, the controller basing on state prediction and compensating time delay is designed. Sufficient and necessary stability conditions for systems with different transmission policies such as perfect transmissions, delayed transmissions and time-varying transmissions are obtained as simple eigenvalue tests of certain test matrices. And in the end, effects of model error over maximum communication interval are analyzed. Numerical examples show the feasibility and efficiency of the proposed methods.

首先介绍了网络控制系统中数据包的传输情况以及基于模型结构方法的基本思想,并针对四种不同拓扑结构的控制网络分析了网络时延的性能,进而给出了统一的数学模型;然后,提出了基于状态预测的具有时延补偿功能的状态反馈控制器的设计方法,并针对完美传输、延时传输及时变传输三种数据传输策略,分别研究了控制系统的稳定性问题;最后分析了模型误差对最大通讯间隔的影响;仿真结果表明了设计及控制方法的正确性和有效性。

By means of singular model transformation technique, special Lyapunov-Krasovskii functional approach, similar Leibniz-Newton formula and linear matrix inequality concept, some new stability conditions are derived for above systems.

应用奇异模型转换技巧、特殊型Lyapunov-Krasovskii泛函数方法、相似型Leibniz-Newton公式、线性矩阵不等式观念针对上述类神经网路系统,提出新稳定测试准则。

Results prove the scheme design of strength and stability conditions.

结果证明本方案满足设计强度和稳定性条件。

It is shown that the latter requires simpler stability conditions than the former.

结果表明,后者的要求简单,稳定的条件下高于前者。

The simulation example shows the effectiveness of the system stability conditions.

仿真示例验证了上述判定系统稳定性条件的有效性。

The results prove that our scheme meets the design strength and stability conditions.

结果证明本方案满足设计强度和稳定性条件。

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