Description: 这是一本为工科高年级学生和研究生编写的实验与实践教科书，可以作为控制系统领域各门控制课程的配套实验教材。包括如下两个实验：
（1）单级倒立摆稳定控制实验；
（2）机械臂最优路径规划；
-This is a high school for engineering students and graduate students to prepare experiments and practice of textbook can be used as control systems supporting the various gates to control the course of the experimental teaching materials. Include the following two experiments: (1) a single-stage inverted pendulum experiment and stability control (2) robotic arm optimal path planning Platform: |
Size: 307200 |
Author:余光学 |
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Description: 蚁群算法路径规划的一个程序，可以成功找到最优路径。-Ant colony algorithm path planning a program that can successfully find the optimal path. Platform: |
Size: 5120 |
Author:搁浅 |
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Description: 取各障碍物顶点连线的中点为路径点，相互连接各路径点，将机器人移动的起点和终点限制在各路径点上，利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动，利用Pi= Pi1+ti×(Pi2-Pi1)（ti∈[0,1] i=1,2,…n）即可确定相应的Pi，即为新的路径点，连接此路径点为最优路径。-Take the midpoint of each obstacle vertex point for the path, the path of each connection point, move the robot start and end points of each path on the limited use Dijkstra algorithm to find the shortest path network diagram to find the starting point P1 from the Pn the shortest path to the end, because the algorithm uses the midpoint of the conditions of cable, not the entire optimal path planning of space, and then use genetic algorithm to find the shortest path of each path points Pi (i = 1,2, ... n ) adjusted to the path of obstacles in the corresponding endpoint connection point slide, using Pi = Pi1+ ti × (Pi2-Pi1) (ti ∈ [0,1] i = 1,2, ... n) to determine the appropriate of Pi, is the new path point, the connection point for the optimal path for this path. Platform: |
Size: 2048 |
Author:biaoshi |
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Description: 最优路径规划，一直是运筹学、最优控制、移动机器人等学科和方向的研究热点-Optimal path planning, has been the operations research, optimal control, mobile robots and other disciplines and research focus in the direction of Platform: |
Size: 18432 |
Author:晓霞 |
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Description: GAAA算法深海集矿车的最优路径规划GAAA deep set of algorithms the optimal path planning for mine car-GAAA deep set of algorithms the optimal path planning for mine car Platform: |
Size: 398336 |
Author:gu |
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Description: 利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动-Use Dijkstra algorithm to find the shortest path network diagram to find the starting point P1 to the end of Pn from the shortest path algorithm is used as the midpoint of the condition of cable, not the entire optimal path planning of space, and then use genetic algorithm to find shortest path of each path points Pi (i = 1,2, ... n) adjusted to the path of obstacles in the corresponding endpoint connection point slide Platform: |
Size: 9216 |
Author:jack |
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Description: 单一机器人最优路径规划中的栅格地图构建以及障碍设定-Single robot optimal path planning and obstacle to building a grid map to set Platform: |
Size: 2048 |
Author:liaochunping |
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Description: 遗传算法实现的最优路径规划，可用于机器人路径规划-Genetic algorithm to achieve the optimal path planning, can be used for robot path planning Platform: |
Size: 4096 |
Author:王袁杰 |
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Description: 本科的毕业设计，基于matlab的最短路径规划设计仿真算法，可以来看一看-Undergraduate course graduation design, the shortest path planning based on matlab simulation algorithm design, can take a look Platform: |
Size: 4096 |
Author:廖灿 |
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Description: 移动机器人的最优路径规划，也可用于求解迷宫的最短路径-Optimal path planning, of the mobile robot can also be used for the shortest path to solve the maze Platform: |
Size: 5120 |
Author:刘宣 |
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Description: ：为了保证无人作战飞机(UCAV)以最小的被发现概率和最优的航程到达目标点，在敌方防御区域内执
行任务前必须进行航路规划。蚁群优化(ACO)算法的并行实现机制适合于复杂作战环境下的UCAV航路规划，但是基本ACO算法有易陷于局部最优解的缺点-Abstract：To ensure unmanned combat aerial vehicle(UCAV)to reach the destination with an optimal path and a
minimum rate to be foun d，UCAV path plan ing must be ma de before mission execution．The parallelism of an t colony
optimization(ACO)is feasible in UCAV path planning under complicated combat environments Platform: |
Size: 282624 |
Author:zhangyan |
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Description: 基于蚁群算法的三维路径规划。在三维地图上寻找最优路径！-Ant colony algorithm based three-dimensional path planning. To find the optimal path on the three-dimensional map! Platform: |
Size: 22528 |
Author:张三 |
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Description: 文件中是基于旅行商问题的M文件，实现了最优路径的规划与显示-Document is based on the traveling salesman problem M files, to achieve optimal path planning and display Platform: |
Size: 6144 |
Author:籍洋 |
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Description: 采用Matlab编译。A*算法最优寻路算法,算法是一种静态路网中求解最短路最有效的算法.-A* algorithm for optimal path planning algorithm, the algorithm is a static road network to solve the shortest most efficient algorithms. Platform: |
Size: 113664 |
Author:zifeng |
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Description: 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法.首先建立水下水平面内路径规划的模糊规则,并应用A/B模型进行静态和动态障碍物的避障.同时考虑到模糊边界的选择具有很大的随意性,所生成的路径并非最优,利用PSO算法进行模糊集合的优化,使得最终生成的路径最优.应用设计的粒子群优化模糊(PSO-fuzzy)算法针对动静态障碍物进行了避障路径规划,仿真结果验证了所设计的方法的有效性.-The study was conducted with the aim of
solving the path planning problem of autonomous underwater vehicles (AUV), and a fuzzy path planning algorithm based on particle swarm optimization (PSO) was presented according to fuzzy logic
control
theories．First，a fuzzy
rule for the path planning was set up
in the underwater horizontal plane．
Then，an accelerate／brake(A／B)model
was applied to dealing with static and dynamic avoidance．Considering that the fuzzy boundary choice is of great arbitrariness，and the formation of the path is not optimal，the PSO algorithm was applied to optimization of the fuzzy boundary for making the final generated path most optimal．the designed PSO—fuzzy algorithm Was intended to do statics and dynamic obstacle avoidance path planning．the simulation results verified the effectiveness of the proposed design method． Platform: |
Size: 2371584 |
Author: |
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Description: Implementation of Optimal Path Planning of mobile robot using Particle Swarm Optimization (PSO) in MATLAB Platform: |
Size: 8192 |
Author:Mustafa |
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Description: Q-learning 算法实现AGV的最优路径规划，实测效果非常好，对于研究深度学习和强化学习的同学很有帮助！(The Q-learning algorithm realizes the optimal path planning of AGV, and the measured results are very good. It is very helpful for students who are studying deep learning and reinforcement learning.) Platform: |
Size: 262144 |
Author:sfy123456 |
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Description: 基于蚁群算法的python程序，用于最优路径规划,仅做参考！(Python program based on ant colony algorithm for optimal path planning, only for reference!) Platform: |
Size: 10240 |
Author:SDXV%255F89937 |
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