Description: 一个模糊逻辑控制算法，包括建立模糊逻辑的输入，输出函数，用于机器人路径规划-A fuzzy logic control algorithms, including the establishment of fuzzy logic input and output function for the robot path planning Platform: |
Size: 16384 |
Author:高文斌 |
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Description: 机器人设计，模糊逻辑，人机交互，都是PDF文件，虽然是英文的，但是都很有用的。-Robot design, fuzzy logic, human-computer interaction, are PDF files, though in English, but very useful. Platform: |
Size: 7472128 |
Author:xiongjianlin |
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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: 本书全面、简明地介绍了机器人学，包括机器人运动学分析、微分运动、机器人动力学和轨迹规划等。还有一些子系统如驱动器、传感器、视觉系统以及模糊逻辑等。-Book comprehensive and concise introduction to robotics, including robot kinematics analysis, differential motion, robot dynamics and trajectory planning. There are a number of subsystems, such as drives, sensors, vision systems and fuzzy logic. Platform: |
Size: 7780352 |
Author: |
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Description: As it is mentioned the control of a robot arm using AFC can be considerably
improved if a method is found to provide good estimates of the inertia matrix of the
arm. Therefore, AFCAFL scheme which exploits the use of fuzzy logic as the inertial
parameter estimator. The idea behind the AFCAFL scheme is to obtain a continuous
computation of the estimated inertia matrix of the arm. In the proposed scheme the
angular acceleration of link1 and link2 and track error of link1 and link2 are
supposed as inputs and estimated inertia matrix as output. The proposed scheme is
depicted Platform: |
Size: 2048 |
Author:mohammed |
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Description: In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 676864 |
Author:Sam |
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Description: HOW TO WRITE A SUCCESSFUL SCIENTIFIC THESIS
In this thesis the development of an autonomous wall-following robot is presented. The
wall following controller is a two input, two output system. The inputs are two proximity
measurements to the wall, and the outputs are the speeds of the two rear wheels. For the
embedded fuzzy logic controller, the behavior must be approximately encoded for the
target processor, and then downloaded to the chip for execution. The target system is a
small mobile robot equipped with an embedded microcontroller based on a Microchip
PIC16F877 microcontroller. The robot is driven by two independent servo motors Platform: |
Size: 20823040 |
Author:Sam |
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Description: matlab多机器人编程设计的程序，采用的是模糊逻辑算法，经检验有较好的效果-matlab robot programming design procedure, using a fuzzy logic algorithm, the test has a good effect Platform: |
Size: 2048 |
Author:ququ |
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Description: We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a
kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented
confirming the performance of the tracking controller and its application to different navigation problems.- We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a
kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented
confirming the performance of the tracking controller and its application to different navigation problems. Platform: |
Size: 227328 |
Author:hamed |
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Description: This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear formulation of robot dynamic equation and tune the parameters. We also suggest the robust adaptive control laws in all proposed schemes for decreasing the effect of approximation error. To reduce the number of fuzzy rules of the FLS, we consider the properties of robot dynamics and the decomposition of the uncertainty function. The proposed controllers are robust not only to the structured uncertainty such as payload parameter, but also to the unstructured one such as friction model and disturbance. The validity of the control scheme is shown by computer simulations of a two-link planar robot manipulator. Platform: |
Size: 641024 |
Author:Diamant |
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Description: In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,-In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base.
The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using
Genetic Algorithm. Simulations are done using Matlab software.
Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking, Platform: |
Size: 296960 |
Author:jacobjacobjacob17 |
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Description: Abstract—Owing to load variation and unmodeled dynamics, a robot
manipulator can be classified as a nonlinear dynamic system with structured
and unstructured uncertainties. In this paper, the stability and
robustness of a class of the fuzzy logic control (FLC) is investigated and a
robust FLC is proposed for a robot manipulator with uncertainties. In order
to show the performance of the proposed control algorithm, computer
simulations are carried out on a simple two-link robot manipulator Platform: |
Size: 206848 |
Author:med |
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Description: 运用模糊控制规则及AFS模糊公理集，对系统状态进行状态回归控制- Based on the theory of axiomatic fuzzy set, we summarize the cluster method of fuzzy concept semantic and fuzzy logic operation through imitating the clustering process of human brain. This algorithm can apply to robot to enhance its level and speed on avoiding obstacles and path planning. Platform: |
Size: 63488 |
Author:zhenying |
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Description: This M-file is designed to be used in a Simulink S-function block.
It draws a line the previous input point, which is stored using
discrete states, and the current poin-This M-file is designed to be used in a Simulink S-function block.
It draws a line the previous input point, which is stored using
discrete states, and the current poin Platform: |
Size: 218112 |
Author:Mohammad Fiuzy |
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