The parameter of fuzzy controller is got by convex optimal method of LMI.
再用线性矩阵不等式的凸优化方法求出模糊控制器的参数。
Using separation theorem of convex set and the time terminal value function equation, we obtain the determining method of optimal terminal time as well as the Maximum principle.
由凸集分离定理及终端时间阈值函数方程，我们获得了最大值原理及最优控制时间的确定方法。
Converting the convex optimization question to simple one dimension search, we get the effective method to settle the optimal weight coefficient.
通过转换该凸最优的约束方程为简单的一维搜索，提出了最优加权系数的有效求解方法。
Based on the dual relaxation method, an extended convex programming and sequential linear programming optimal power flow approach is presented for online optimal dispatch.
提出了一种基于对偶松弛法的扩展凸规划和序列线性规划相结合的在线最优潮流方法。
The paper constructs a new optimal target function for feed forward neural networks according to convex optimization theory and constraint optimization theory.
该文利用凸优化理论和约束优化理论为前馈神经网络构造出了一个新的优化目标函数。
Convex function of demand, convex distribution of price and an optimal model for coexistence of multi-prices are established.
建立了商品销售中的凸需求函数，凸分布和多种价格并存的优化模型。
On the basis of convex optimization theory, the design method about optimal guaranteed cost reliable controller and standard controller transform convex optimization arithmetic.
根据凸优化理论，最优保性能标准控制器和最优保性能可靠控制器的设计方法转化为一个线性凸优化算法。
Objective: To search optimal solutions of convex programming problems with linear constraints.
求线性约束凸规划问题的最优解。
Then, by use of multiple carrier system's frequency-sharing property and convex optimization, a subcarrier and power optimal allocation algorithm is proposed based on Lagrangian duality theory.
然后，运用凸优化技术分析了该资源分配问题，并基于拉格朗日对偶法给出了一种子载波和功率最优分配算法。
Furthermore, a convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controllers.
通过求解一个线性矩阵不等式约束的凸优化问题，提出了最优化保性能控制律的设计方法。
It is shown that the randomized stationary policy is an optimal policy in m (c) if and only if it is convex combination of some deterministic stationary optimal policies.
特别是证明了：一随机平稳策略，它在(c)上是最优的充要条件是它可表为若干个决定性平稳最优策略的凸组合。
On the basis of convex optimization theory, the design arithmetic method and its steps about optimal guaranteed cost reliable control are provided.
根据凸优化理论，最优保性能标准控制器和最优保性能可靠控制器的设计方法转化为一个线性凸优化算法。
The convex optimization algorithm was used to get the minima upper bound of performance cost and parameter of optimal minimax controller.
引入凸优化算法，求解使闭环系统渐近稳定且性能指标上界最小的最优控制器参数。
The convex optimization algorithm was used to get the minima upper bound of performance cost and parameter of optimal minimax controller.
引入凸优化算法，求解使闭环系统渐近稳定且性能指标上界最小的最优控制器参数。
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