linear inequality的例句大全

interior affine scaling curvilinear path algorithm for nonlinear optimizations subject to linear inequality constraints

仿射内点最优路径法解线性不等式约束的优化问题

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

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。

A Type of Linear Geometry Inequality

一类线性几何不等式

Construct on the Feasible Solution Set to a Class of Linear Matrix Inequality

一类线性矩阵不等式可行解集的构造

By norm consistency principle and triangle inequality, the problems of minimizing the Frobenius norm of jump vector and the upper bound of quadratic cost function are turned into a convex optimization problem containing linear matrix inequalities constraints.

利用范数相容性原理和三角不等式，将最小化跳变向量Frobenius范数和二次型成本函数上界问题转化为一个具有线性矩阵不等式约束的凸优化问题。

The result demonstrates the validity of the result. Finally, the problem of strictly passive realness for uncertain discrete linear singular systems is investigated by using the linear matrix inequality approach.

最后，利用线性矩阵不等式方法讨论了不确定离散线性广义系统的严格无源性问题。

A new method called integral inequality method ( IIM) is proposed to study the delay-dependent robust stability and stabilization for linear systems with multiple time-varying delays and norm-bounded uncertainties.

提出一种积分不等式新方法，讨论不确定线性多时变时滞系统的鲁棒稳定性以及鲁棒稳定化问题。

This paper, based on neural networks, has investigated a class of nonlinear system of neural net-based H ∞ control design, and has shown the gibbous optimization method can solve the problem of linear matrix inequality transformed from plus matrix.

基于神经网络，对一类非线性系统H∞控制进行了研究，反馈增益矩阵转化为线性矩阵不等式问题，通过凸优化方法在线解决。

A new method, called Integral Inequality Method ( IIM), is proposed in this paper to study the delay-dependent stability of the linear descriptor system with delay.

提出一种新的方法&积分不等式方法讨论线性时滞广义系统的时滞相关稳定性。

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。

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

Through the linear transformation of the linear space, this paper discussed the condition of Sylvester and Frobenius inequality taking mark of equality, and by extending them to the matrix polynomial, set up a type of extensive rank identical equation.

本文通过线性空间的线性变换讨论了Sylvester与Frobenius不等式取等号的条件，并将它们推广到矩阵多项式中，建立了一类广泛的秩恒等式。

the linear matrix inequality was used to design controller.

利用线性矩阵不等式设计控制器。

admissibility for linear estimators in a multivariate linear model with respect to an inequality restriction

不等式约束下多元线性模型中线性估计的可容许性

this paper deals with the linear-quadratic control problem with an inequality constraint on the state integration.

研究具有状态积分不等式约束的线性二次控制问题。

all admissible linear estimators of regression coefficient in a linear model with respect to an inequality constraint

不等式约束下线性模型中回归系数的所有可容许估计

solution of com-based inequality constraint linear programming

基于COM组件的不等式约束线性规划求解

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.

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.