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关于固高科技有限公司一级倒立摆lqr算法的连续系统离散系统matlab源程序及仿真-On a solid high-tech Co., Ltd. inverted pendulum system LQR algorithm for discrete-time systems and simulation source matlab
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model of a LQR controller for the inverted pendulum in simulink
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基于LQR控制算法的二级倒立摆Simulink仿真模型-the double inverted pendulum Simulink simulation model based on LQR control algorithm
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本文以一级倒立摆系统和二级倒立摆系统作为实验平台,针对极点配置中极点不易寻找、LQR控制中权值难于确定和拟人控制从定性到定量转化的瓶颈问题,应用遗传算法对控制器进行参数优化,一方面充分利用各自的优势来共同提高控制器的性能,另一方面将人从费时费力的试凑试验中解脱出来。-In this paper, an inverted pendulum and double inverted pendulum system as the experimental platform, pole for pole
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此程序是基于最优控制LQR对倒立摆进行仿真控制,所用平台是matlab-This procedure is based on the LQR optimal control simulation of the inverted pendulum control platform is used by matlab
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单级倒立摆稳定控制实验,运用matlab,编程仿真,-Research on an inverted pendulum optimal control system based on LQR
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BP神经网络根据LQR控制固高一级倒立摆,稳定控制及起摆控制-BP neural network based on solid LQR control an inverted pendulum stability control and from the pendulum control
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基于LQR最优控制算法的直线二级倒立摆稳定控制程序-LQR optimal control algorithm based on double inverted pendulum stability control program
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基于LQR的倒立摆,亲测可用有必要说明,初学者也可看懂-Inverted pendulum based on LQR, close test necessary instructions are available, and beginners can understand
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利用LQR方法(线性二次调节器)对一级小车倒立摆的数学模型进行控制。-The method of use of LQR (linear quadratic regulator) on a mathematical model of the car inverted pendulum control.
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利用强化学习的自适应动态规划中的值迭代和策略迭代方法,神经网络控制方法,LQR状态调节器最优控制方法,实现了三维倒立摆在飞行器上的稳定控制。鲁棒性很强,进行了高斯白噪声的扰动实验。-Reinforcement learning adaptive dynamic programming in value iteration and policy iteration method, neural network control method, LQR state regulator optimal
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关于一级倒立摆LQR+PID控制。包含源程序,simulink仿真模型等(On the inverted pendulum LQR+PID control. Including source program, Simulink simulation model, etc.)
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基于LQR和PID的倒立摆小车控制,希望有需要的人能用到(Based on the control of the inverted pendulum trolley based on LQR and PID, I hope that those in need can use it)
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