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优化问题

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Furthermore, in order to overcome the disadvantage of GMC, i.e., it can only apply to the processes with relative order of 1, based on Lie derivative, we propose to let the r th derivative of the process output follow the given reference trajectory, to get the control law expression through solving an optimization problem.

针对GMC方法只适于相对阶r为1的简单过程的缺点,采用Lie导数的概念,令过程输出的r阶导数的轨迹为事先设定的标称轨迹,通过解优化问题得到控制律表达式,把GMC方法推广至相对阶r大于1的复杂多输入多输出过程,从而提出了一种广义一般模型控制方法。

With delivery trucks using genetic algorithms to solve the situation with a time limit distribution lines optimization problem.

采用遗传算法解决了合车送货与有时间限制情况下配送线路的优化问题

Its global convergence and linear convergence rate were proved under some mild conditions.

提出一类新的求解无约束优化问题的记忆梯度法,在较弱条件下证明了算法具有全局收敛性和线性收敛速率。

In Chapter 4, using the formula A_k(2) given by Wei, we propose a new A_k(2)-SQP method, which develepments the using of the quasi-Newton formula BFGS, and combines with SQP method to solve constrained optimization problems, the corresponding algorithm possesses global convergence and supei linear convergence property.

第四章,利用韦提出的A_κ(2)公式,我们给出了一种A_κ(2)-SQP方法,该方法把拟牛顿修正公式BFGS进行了推广,并结合SQP方法去解约束优化问题,相应的算法具有全局收敛性和超线性收敛性。

The linear fractional transformation representation of an uncertain aeroelastic system is formulated to perform model validation and robust flutter analysis.

建立不确定气动弹性系统的线性分式变换模型,给出了频域的模型有效性检验方法,对有效模型集进行参数化并将不确定性幅值最小的模型集求解归结为优化问题

In Chapter 3, we consider the uncertain multiobjective linear optimization problem.

第三章考虑了不确定信息的多目标线性优化问题

This paper presents a new approach to solve linear support vector machines optimization problem.

极大熵方法,为求解支持向量机优化问题提供了一种新途径。

In this paper we present a local self-concordant barrier function based on a kernel function in the neighborhood of the central path of linear optimization problem.

在这篇文章中,我们介绍了基于核函数的局部self-concordant障碍函数,它在线性优化问题的中心路径及其邻域内满足self-concordant性质。

This paper considers the linear transceiver optimization problem for multi-carrier multiple-input multipleoutput channels with per-antenna power constraints.

本文讨论线性收发器的优化问题。在多载波多输入的渠道,每个天线功率的限制。

Law firms realize a simple linear programming optimization problem solving, algorithm easier to understand, efficient, good practicality.

详细说明:单纯行法实现线性规划的优化问题求解,算法简洁易懂,高效,有很好的实用性。

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