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LQR
- 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
researchoncontrolofinvertedpendulumbasedonGA
- 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
2InvertedPendulum
- 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
GALQR
- 遗传算法优化基于LQR的一级倒立摆稳摆控制-LQR-based genetic algorithm optimization of a steady pendulum inverted pendulum control
The-genetic-algorithm-LQR
- 遗传算法的LQR控制器优化设计自编代码,非常好用,适合于初学者学习。-The genetic algorithm LQR controller optimization design of self-compiled code, very easy to use, suitable for beginners to learn.
LQR-controller-on-genetic-
- 基于遗传算法的LQR控制器优化设计,利用MATLAB实现。-LQR controller based on genetic algorithm optimization design, the use of MATLAB.
GA
- 程序1:遗传算法和非线性规划函数的优化; 程序2:基于遗传算法的BP神经网络优化; 程序3:基于遗传算法的TSP算法; 程序4:基于遗传算法的LQR控制器优化设计 程序5:基于遗传算法的函数优化-Program 1: genetic algorithms and nonlinear programming function optimization Program 2: Based on the genetic algorithm BP neural network optim
LQR
- 基于遗传算法的LQR控制器优化设计,使用时可根据手中的具体问题做适当修改-LQR controller based on genetic algorithm optimization
chapter5
- 基于遗传算法的LQR控制器优化设计的Matlab实现-LQR controller design based on genetic algorithm optimization
LQR
- 基于遗传算法的LQR控制器设计优化方法。-LQR controller design optimization method based on genetic algorithms.
0000005
- 基于遗传算法的LQR控制器优化设计,给出了实现算法的主程序-LQR controller optimization design based on genetic algorithm, the main program of the algorithm is given.
chapter5
- 基于遗传算法的LQR控制器的优化设计(Optimization design of LQR controller based on genetic algorithm)
基于遗传算法的LQR控制器优化设计
- 基于遗传算法的LQR控制器优化设计(含详细代码)(Optimization design of LQR controller based on genetic algorithm)
源代码
- 1 基于遗传算法的TSP算法(王辉) 2 基于遗传算法和非线性规划的函数寻优算法(史峰) 3 基于遗传算法的BP神经网络优化算法(王辉) 4 设菲尔德大学的MATLAB遗传算法工具箱(王辉) 5 基于遗传算法的LQR控制优化算法(胡斐)(1 TSP algorithm based on genetic algorithm (Wang Hui) 2 Function optimization algorithm based on genetic algorithm and non
MPC
- 模型预测控制matlab程序,与带约束优化下的LQR问题。(Model predictive control of MATLAB programs, and LQR problems with constrained optimization.)