linear inequality

Many important problems of system and control theory can be reformulated as linear matrix inequality convex optimization problems, which is numerically tractable.

系统与控制理论中的许多问题，都可转化为线性矩阵不等式约束的凸优化问题，从而简化其求解过程。

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Then, by choosing Lyapunov functional and linear matrix inequality technique, the delay-dependent global asymptotical stability of the network can be obtained, where the delay is bounded and its time derivative is smaller than 1.2.

然后，通过适当的Lyapunov函数和线性矩阵不等式技术，在时滞有界且时滞的变化小的条件下，给出了该神经网络的全局渐近稳定性判据。本文的结果不依赖于时滞。

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Based on Lyapunov stability theory, through using linear matrix inequality, this paper proposes analysis and synthesis method for the networked control systems with different plant by designed new controllers and observers.

本文利用Lyapunov稳定性理论，采用线性矩阵不等式这一有效的工具，通过设计一些新的观测器和控制器，对含有不同被控对象的网络化控制系统进行了分析和控制。

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Nonmonotonic backtracking trust region strategy algorithm via curvilinear path for nonlinear optimizations subject to linear inequality constraints

线性不等式约束优化的弧线路径信赖域算法

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The mathematical model belongs to linear function with inequality constraints.

其数学模型常为带有不等式约束的线性函数.

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This sufficient condition can be expressed in a form of linear matrix inequality for easy verification.

该充分条件可表示为一个线性矩阵不等式的形式,进而易于验证.

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In this paper, we take linear matrix inequality LMI as the mathematical tool, and formulate ordinary performance indexes of parallel manipulators by LMIs.

本文以线性矩阵不等式LMI为数学工具，给出了并联机器人常见性能指标的LMI形式。

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The inequality of Bellman-Bihari type is the nonlinear generalization of the noted linear Gronwall-Bellman inequality.

Bellman -Bihari 不等式是著名的 Gronwall -Bellman不等式由线性到非线性的一种推广形式.

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Linear Quadratic Control Problems with a Terminal Inequality Constraint

具有终端不等式约束的线性二次控制问题

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