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单级倒立摆LQR控制仿真 最优控制理论主要通过对性能的优化寻找可以使目标极小的控制器-Inverted Pendulum Control Simulation of LQR optimal control theory, mainly through the optimization of the performance objectives can find a very small controller
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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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一个简单的PID simulink控制倒立摆的模型建立-A simple PID simulink control of inverted pendulum model building
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单级倒立摆二级倒立摆simulink model and mutiple control aglorithms
Full order observer
Full order observer with Kalman filter
Poleß Placement method
LQR optimization-Single-stage inverted pendulum inverted pendulum simulink model and mutiple cont
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一级倒立摆的lqr控制，两部分组成，simulink和m文件。-An inverted pendulum lqr control, composed of two parts, simulink and m files.
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二级倒立摆的lqr控制，由m函数和simulink组成-Lqr double inverted pendulum control, composed by the m function and simulink
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一级直线倒立摆 LQR控制 MATLAB simulink仿真-A linear inverted pendulum LQR control MATLAB simulink simulation
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c est un exemple d un pendule inversé avec moteur a courant continu commandé par la commande LQR SUR MATLAB simulink
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二阶倒立摆公式推导模型建立以及matlab进行LQR控制和simulink仿真。-Formula Derivation of Second Order inverted pendulum model and LQR control matlab and simulink simulation performed.
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This sample show the simple Inverted Pendulum control with lqr simmechanics simulink mimo pid lqr solidworks how to write a matlab program for two inputs ofdm class.
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一级倒立摆系统响应，最优算法lqr稳定控制的仿真，以及Simulink搭建的图形及仿真。(The first-order inverted pendulum system response, the optimal algorithm lqr stability control simulation, and Simulink structures and simulation.)
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用matlab中simulink仿真，模拟对一级倒立摆实现PID，极点配置和LQR控制(Using MATLAB Simulink simulation, the PID, pole assignment and LQR control for the inverted pendulum are simulated.)
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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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主要涉及到二级倒立摆的控制问题，采用模糊控制，pid以及lqr控制simulink仿真(It mainly involves the control of the two-stage inverted pendulum and adopts fuzzy control, PID and LQR control simulink simulation)
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