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Description: a good paper for cmac
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Size: 70238 |
Author: Alice |
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Description: The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
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Size: 70058 |
Author: Alice |
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Description: CMAC网络最初主要用来求解机械手的关节运动。W.T.Miller等人把CMAC网络成功的运用到机器人的控制上，S.Cetinkunt等又将其运用到高精度机械工具的伺服控制。-CMAC initially used primarily for the manipulator joint movement. W. T. Miller and others CMAC network used successfully in the control of the robot, S. Cetinkunt etc. will use its high-precision machine tools to the servo control.
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Size: 117760 |
Author: 东方云 |
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Description: a good paper for cmac
Platform: |
Size: 69632 |
Author: Alice |
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Description: The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. -The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
Platform: |
Size: 69632 |
Author: Alice |
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Description: 二关节机械手的模糊小脑模型（CMAC）神经网络控制器MATLAB代码，网上少有。代码是纸质版转化的，苦劳啊。-Fuzzy cmac neural network controller matlab code for 2-link robotic manipulator.
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Size: 1024 |
Author: winglan |
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Description: 鲁棒控制和FCMAC神经网络控制系统稳定性证明论文，国内网站无法下载的有用学术论文。(Robust control and stability of FCMAC neural network control system are proved in this paper. Useful academic papers can not be downloaded by domestic websites.)
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Size: 4233216 |
Author: 小答应
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