The algorithm decomposes the complex non-linear optimal problem into three courses, according to the different constraints.
该算法将复杂的非线性优化问题根据不同的优化约束条件，分解为三个求解阶段。
This paper discusses how to found its optimal model through the analysis of model check countermeasure and proposes its solution based on linear and non-linear programming.
通过对模型校验策略的分析，讨论了如何建立这一问题的优化模型，并给出了基于线性规划和非线性规划的模型求解方法。
In this paper, the existence of the optimal harvesting control for a class of non-linear population system is proved.
研究了一类半线性时变种群扩散系统的最优收获问题，证明了最优收获控制的存在性。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
This method organically combined linear control and non-linear control and implemented measurement and optimal control of width of steel plate.
该方法将线性控制与非线性控制有机结合，实现了钢板宽度的测量与优化控制。
It shows a good performance to solve the optimal power flow problem with FACTS control by non-linear interior point method under the model and parameters present in the thesis.
结果表明：基于本文提出的FACTS模型和控制参数下，采用路径跟踪内点方法求解含有FACTS的电力系统潮流优化控制问题，具有较好的性能。
It is transformed ingeniously into a non-linear programming problem with constraints which can be solved by many optimal methods.
并将此模型巧妙地转化成了约束非线性规划问题，可采用多种优化方法求解。
A generalized time optimal control of relaxed system for non-linear control variables is discussed.
对控制变量为非线性的松弛系统的时间最优控制问题进行讨论。
Direct search feasible direction (DSFD) is an effective algorithm for solving the constrained non-linear programming problem, however, it could only find the local optimal solution.
转轴直径搜索可行方向法(DSFD方法)是一种比较有效的求解有约束非线性规划问题的算法，但它只能得到局部最优解。
As we know, classic optimization techniques are not only troublesome in calculation, but also low efficient for the highly non-linear interval parameter optimal design model (IPODM).
对于高度非线性的城市污水处理厂区间数优化设计模型（IPODM） ，若采用传统的方法求解，不仅计算繁琐，且难以有效地寻找全局最优解。
Currently, there is no general algorithm to find the global optimal solution for the constrained non-linear programming problems.
目前对有约束非线性规划问题还没有通用的求全局最优解的算法。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
All the methods of navigation and positioning are summarized and classified from the linear optimal estimation algorithms and the non-linear suboptimal estimation algorithms.
从线性最优估计算法和非线性次优估计算法两方面出发，对目前导航系统数据处理算法进行了归纳与分类。
The problem of optimal non-fragile guaranteed cost control for a class of linear time-delay systems with structured uncertainties was considered.
对一类具有结构不确定性的线性时滞系统的最优非脆弱保性能控制问题进行了研究。
The problem of the optimal non-fragile guaranteed cost control for uncertain linear discrete-time systems is considered.
讨论了一类不确定线性离散系统的最优非脆弱保成本控制问题。
In this paper, the optimal distributed control problems for a class of age-dependent non-linear population diffusion system with final state observation are studied.
讨论了一类具终端观测且与年龄相关的非线性时变种群扩散系统的最优分布控制问题。
The large phase Angle allowance design method for a first class new type non - linear controller and second optimal control system is presented.
提出一类新型非线性控制器和二次优化控制系统大相角裕量设计法。
The optimal control of non-linear structures is analysed and the issues in this field is discussed.
对当前土木工程结构控制研究中存在的困难和问题以及今后的发展趋势进行了分析讨论和展望。
In the second chapter, the problem of the optimal control for a class of non-linear population dynamics system with age-dependent is discussed.
第二部分讨论了一类具有年龄分布的非线性种群系统的最优控制问题。
The results show that this method has the features of direct, convenient, fast and good application It is a superior non linear optimal method which could locally search the global solution for gr...
结果表明，混合加速遗传算法具有直观、简便、快速及适用性强等特点，是一种既可以较大概率搜索全局最优解，又能进行局部细致搜索的优秀非线性优化方法。
The results show that this method has the features of direct, convenient, fast and good application It is a superior non linear optimal method which could locally search the global sol...
结果表明，混合加速遗传算法具有直观、简便、快速及适用性强等特点，是一种既可以较大概率搜索全局最优解，又能进行局部细致搜索的优秀非线性优化方法。
The results show that this method has the features of direct, convenient, fast and good application It is a superior non linear optimal method which could locally search the global sol...
结果表明，混合加速遗传算法具有直观、简便、快速及适用性强等特点，是一种既可以较大概率搜索全局最优解，又能进行局部细致搜索的优秀非线性优化方法。
应用推荐