Description: 在某初教机的线性模型基础上，建立了飞机的纵向和横向传递函数，分析了模型参数的不确定性，通过使用MATLAB中的NCD模块对飞行控制系统及PID控制器等参数进行优化，设计出了飞机的自动驾驶仪高度保持和航向保持模式。这种方法既避免了复杂的计算和编程，又使系统具有较好的稳定，陛、动态性能和鲁棒性，克服了飞机模型参数随着高度和速度的变化（即模型参数存在不确定性）而需要按照多个不同高度和速度的飞行区域设计一系列控制器的缺点-early in a plane of the linear model, based on the aircraft's vertical and horizontal transfer function, Analysis of the model parameters of uncertainty, MATLAB through the use of the NCD Blocks flight control system and PID controller parameters for optimization, design of the aircraft's automatic pilot systems, and maintain a high degree course-keeping mode. This method not only avoids the complex calculation and programming, the system has good stability, Her Majesty, dynamic performance and robustness. overcome the aircraft model parameters with the height and speed of change (that model parameters uncertainty exists) and the need to not more than with the height and speed of regional flight controller design a series of shortcomings Platform: |
Size: 277504 |
Author:jake |
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Description: 此程序包是用粒子群算法来求16个经典函数的最小最大值，其中界面友好，运行时会出现动态二维图来展现粒子群是如何运动来求最值的-This package is used for particle swarm optimization to 16 classic function of the smallest maximum value, in which user-friendly, run-time dynamic two-dimensional map will appear to show how the particle swarm movement to seek the most value Platform: |
Size: 753664 |
Author:梁锦兆 |
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Description: 粒子群算法的实例，应用于无线网络节点的动态布署等。图和表显示结果-Examples of particle swarm optimization applied to the wireless network nodes, such as dynamic deployment. Graph and table shows the results of Platform: |
Size: 4096 |
Author:QGP |
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Description: 《实用最优化方法 （第三版）》 该教材介绍了线性规划、非线性规划、多目标规划、整数规划和动态规划的基本理论、计算方法及其应用。书中着重阐述了最优化的基本原理和在实际应用中比较有效的计算方法及其在计算机上的实现等内容。- Practical Optimization Methods (third edition) The materials introduced linear programming, nonlinear programming, multi-objective programming, integer programming and dynamic programming of the basic theory, calculation methods and their applications. The book focuses on the optimization of the most basic principle and in practical applications more effective method of calculation and its realization on the computer and so on. Platform: |
Size: 12047360 |
Author:nc21lym |
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Description: These are matlab and simulink files to model the membrane crystallization system, including the matlab file to get the optimation point of this system, and 3 simulink files, which are static model and 2 dynamic models. There has PID control and feed forward control for the dynamic models. Platform: |
Size: 47104 |
Author:eddyye |
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Description: 细菌觅食随机优化论文及matlab源码。该算法属于进化算法的一种，可以处理全局优化、多目标优化、约束优化和动态优化等问题。-Bacterial feeding stochastic optimization papers and matlab source code. The algorithm belongs to a kind of evolutionary algorithm that can deal with global optimization, multi-objective optimization, constrained optimization and dynamic optimization problems. Platform: |
Size: 2452480 |
Author:bxingliu |
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Description: 优化模型其中最基本的有线性规划模型、整数规划模型、动态规划模型以及一些几何极值问题-Optimization model in which there is the most basic linear programming model, integer programming model, dynamic programming model as well as some geometric extremal problems Platform: |
Size: 46080 |
Author:rose |
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Description: 粒子群算法工具包，包括动态环境的寻优，还可以直观看到粒子的搜索过程-Particle swarm optimization tool kit, including the dynamic environment of the optimization, you can also see the particles in an intuitive search process Platform: |
Size: 775168 |
Author:段昊 |
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Description: 基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所提出算法解决复杂动态多目标优化问题具有较大
潜力.-:A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective
optimization problems is proposed based on the functions of adaptive learning, immune memory, antibody
diversity and dynamic balance maintenance, etc. In the design of the algorithm, the scheme of antibody af-
finity was designed based on the locations of adaptive-neighborhood and antibody antibodies participating
in evolution were selected by Pareto dominance. In order to enhance the average affinity of the population,
clonal proliferation and adaptive Gaussian mutation were adopted to evolve excellent antibodies. Further-
more, the average linkage method and several functions of immune memory and dynamic balance mainte-
nance were used to design environmental recognition rules and the memory pool. The proposed algorithm
was compared against several popular multi-objective algorithms by means of three different kinds of dy-
namic multi-objective benchmark problems. Simulations show Platform: |
Size: 499712 |
Author:王飞 |
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Description: 蚁群算法最短路径通用Matlab程序蚁群算法动态寻路算法-Shortest path algorithm for general ant colony algorithm Matlab program Dynamic Algorithm for Route Platform: |
Size: 2048 |
Author:kevin |
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Description: 用基本遗传算法求解一维无约束优化问题
用顺序选择遗传算法求解一维无约束优化问题
用动态线性标定适应值的遗传算法求解一维无约束优化问题
用大变异遗传算法求解一维无约束优化问题
用自适应遗传算法求解一维无约束优化问题
用双切点遗传优化求解一维无约束优化问题
用多变异位自适应遗传优化求解一维无约束优化问题
-The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem Platform: |
Size: 6144 |
Author:胖子 |
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Description: GSO算法及其改进，其中HGSO是通过与和声搜索算法结合而成，主要用于结构的截面优化、几何优化、动力优化、拓扑优化等，具有收敛速度快，收敛结果好的优点，且其改进算法能摆脱局部最优的缺陷。-GSO algorithm and its improvements, HGSO is through a combination of harmony search algorithm, mainly used to optimize the structure of the cross section, geometry optimization, dynamic optimization, topology optimization, a fast convergence, convergence results is good, and its improved algorithm defects can get rid of local optimum. Platform: |
Size: 6144 |
Author:Li |
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Description: ACADO工具包是一个软件环境和算法集自动控制和动态优化。它为直接优化控制提供了多种算法，包括模型预测控制、状态参数估计和鲁棒优化。(ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.) Platform: |
Size: 35134464 |
Author:xiaoranzeng |
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Description: DMC：即动态矩阵控制（Dynamic Matrix Control）。是一种基于计算机控制的技术，它是一种增量算法，并基于系统的单位阶跃响应，适用于稳定的线性系统。系统的动态特性中具有纯滞后不影响该算法的直接应用。DMC的控制结构主要由预测模型、滚动优化、误差校正和闭环控制形式构成。(DMC: Dynamic Matrix Control. Is a computer-based technology, it is an incremental algorithm, and based on the system's unit step response, suitable for a stable linear system. The pure lag in the dynamic characteristics of the system does not affect the direct application of the algorithm. The control structure of DMC is mainly composed of prediction model, rolling optimization, error correction and closed-loop control.) Platform: |
Size: 1024 |
Author:CHENCCCC |
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Description: 这是使用matlab解决动态优化问题的文献，里面包括若干例子以及相应的matlab代码。(This is the document that uses MATLAB to solve dynamic optimization problems, including several examples and the corresponding matlab code.) Platform: |
Size: 983040 |
Author:rinkka |
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Search - dynamic optimization matlab