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lqrcontrol
- control souce code with LQR
pendulum
- 倒立摆系统的控制问题一直是控制研究中的典型问题。此程序采用最优控制中的LQR方法对其控制。
triplehandstandpendulum
- 首先对非线性模型在控制目标附近进行线性化得到相应的状态空间表达式，再对线性模型设计LQR控制器，进而用此控制器控制非线性倒立摆，取得训练神经网络控制器的数据，最后用这些数据训练得到神经网络控制器，最终基于神经网络的（一、二、三级）倒立摆控制均取得了很好的控制效果；
LQR_control
- 直升飞机的LQR控制在MATLAB中的实现,状态方程为8维.
LQRcontrol
- 直线一级顺摆LQR 控制MATLAB 计算程序,可以对倒立摆实现稳定控制
CHAPTER5
- 本文队基于LQR最优调节器的倒立摆控制系统进行了仿真研究
Lab-Files
- Quanser公司四旋翼直升机控制系统的LQR控制程序-Quanser company four of the control system of the helicopter rotor conventional LQR control procedures
IM_perunit_model_openloop_rotorflux_estimator
- simulink induction machine rotor flux estimator model-simulink induction machine rotor flux estimator model
boostson
- This the model of boost converter. The control of this converter is PID. With changing the cofficient of the P-I and D a good replay can be supplied.-This is the model of boost converter. The control of this converter is PID. With changing the coffic
sqplab-0.4.4-distrib
- SQPLab program in Matlab
PID2
- 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
LQRdoubleinvertedpendulum
- 直线二级倒立摆的LQR控制算法，仿真效果较好-2 inverted pendulum LQR control algorithm
chap7-13
- 吊车-双摆系统控制MATLAB仿真 （2级倒立摆） S=1 LQR控制 S=2 PID控制-Crane- Double Pendulum System Control MATLAB simulation (two inverted pendulum) S = 1 LQR control of S = 2 PID control
DoubleInvertedPendulum
- Double Inverted Pendulum Full-order observer design Reduced-order observer design Pole-placement method LQR method LQE method
Wirelessign
- 无线传感器网络LQR输出反馈控制器设计Wireless sensor -Wireless sensor networks based on LQR output feedback controller design
Ball_Beam_Bao
- Ball and Beam using LQR
LRQ
- LQR的直升机悬停控制律设计与仿真Helicopter hover LQR control law design and simulation-Helicopter hover LQR control law design and simulation
lqr_ctrl_pendulum1
- 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
matlab-daolibai
- 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