Description: 神经网络在线训练和控制仿真程序，控制一个二关节机器人。-online training neural network simulation and control procedures, controls a two joint robot. Platform: |
Size: 1024 |
Author:唐斌 |
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Description: 机器人控制的仿真，使用遗传算法优化神经网络-control of the robot simulation, the use of genetic algorithm optimization neural network Platform: |
Size: 2048 |
Author:李克 |
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Description: 摘 要：果蔬收获机器人是机器人技术在农业中的具体应用，基于避障的路径规划是果蔬收获机器人主要
的研究内容。由于农业机器人作业环境的复杂性和非结构性，神经网络籽是其重要的研究方法。为此，介
绍了神经网络的特点 ，重点分析了采用神经网络描述果蔬收获机器人工作环境的基本思路 ，最后给出了黄瓜采摘机器人的具体分析实例，对农业机器人工作环境的描述具有较高的参考价值。 -Abstract: The fruit and vegetable harvesting robot is the robot technology in agriculture specific application, based on the obstacle avoidance path planning is the main fruit and vegetable harvesting robot research. Operating environment as a result of agricultural robot complexity and non-structural, neural network is an important seed of research methods. To this end, introduced the characteristics of neural networks, focusing on the use of neural network analysis of fruit and vegetable harvesting robot describes the basic idea of the working environment, and finally given a cucumber harvesting robot specific examples of analysis of agricultural robot description of the work environment has a high reference value. Platform: |
Size: 182272 |
Author:彭彭 |
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Description: 这是一篇介绍BP神经网络在移动机器人路径规划方面的论文-Abstract：Improves the BP neural network algorithm，so the shortage of path —planning with the
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BP neural
network algorithm is overcomed ．The simulation results indicate that on the bases of accessional momentum
method can eficiently improve this algorithm in convergence speed．At last，mobile robot dynamic path plan—
ning simulation is carried out in the environment with immobile and mobile obstacle．the simulation result indi—
cates that the method is feasible. Platform: |
Size: 198656 |
Author:王风 |
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Description: ：为提高移动机器人在未知环境下避障行为的成功率，通过对障碍物信息的输人，从控制输出数据中找出避
障行为模式，生成相应的模糊逻辑控制规则，并把模糊控制算法引入到神经网络中，使得模糊控制器规则的在线精
度和神经网络的学习速度均有较大的提高，使移动机器人具有较为迅速的反应能力，实现机器人连续、快速地避障
并最终到达目标．系统仿真证明了模糊神经网络在移动机器人路径选择中的智能性．-To enable the mobile robot in unknown environment obstacle—avoiding behavior of
Success，based on the information input of obstacles and from the control of output data to find a
obstacle—avoiding behavior model，and To create the fuzzy logic rules，a fuzzy control algorithm is
introduced to the neural network，allowing mobile robot more rapid response ability and to
achieve a robot， and finally reach the target of obstacle avoidance． system sim ulation proves a
fuzzy neural network in mobile robot path choice of intelligence． Platform: |
Size: 290816 |
Author:王风 |
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Description: 《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法，是作者多年来从事机器人控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象，共分10章，包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。-" Robot Control System Design and MATLAB simulation," a book all the matlab simulation program. This book introduces several advanced robot control design methods, is the author of the robot control system for many years engaged in teaching and research work of the crystal, while domestic and foreign counterparts into the latest achievements in recent years. Book to the robot as an object, divided into 10 chapters, including advanced PID control, neural network adaptive control, fuzzy adaptive control, iterative learning control, inversion of control, synovial control, adaptive robust control, system identification and path planning. Platform: |
Size: 861184 |
Author:Ben |
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Description: 机器人神经网络控制，可以实现在线学习。并且对学习的误差会逐渐减小，达到控制精度的要求。-Robot neural network control, online learning can be achieved. And error learning will gradually decrease to control accuracy. Platform: |
Size: 12288 |
Author:李正文 |
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Description: 基于模糊神经网络的多传感器信息融合，提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别，为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and direction. BP neural network to classify the environment of the obstacles and pattern recognition for mobile robot navigation and obstacle avoidance provides an effective method. Platform: |
Size: 261120 |
Author:wang |
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Description: 机器人神经网络控制之RBF网络的逼近，内有mdl模型和s-fun函数。-Robot neural network control of RBF network approximation within mdl model and s-fun function. Platform: |
Size: 2048 |
Author:林青 |
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Description: 该程序是由matlab编写的，可实现机器人的神经网络控制的仿真分析。-The program is written by matlab, simulation analysis enables the robot' s neural network control. Platform: |
Size: 57344 |
Author:天下无双 |
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