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11下载：
用simulink做的模糊PID控制，里面包括了3个模型，每个模型的fuzzy控制模块都是通用的。-To do with simulink fuzzy PID control, which includes three models, each model of the fuzzy control module are generic.
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自己写的关于电机自适应控制的源码，考虑所有参数均为未知的情况- code on the motor adaptive control with MATLAB
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A collection of monopole, bipole behaviour matlab source code with their own representation. Adaptive control of noise.
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matlap simulink simulation for adaptive control systems
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Adaptive control, backstepping method Application on machine asynchrony , programming with Matlab-Adaptive control, backstepping method Application on machine asynchrony , programming with Matlab
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用matlab编写的一个小程序，实现模糊控制。在此基础上可以修改编写自适应模糊控制器。-With a small program written in matlab, fuzzy control. On this basis, the preparation can be modified adaptive fuzzy controller.
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adaptive control with matlab
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具有非线性输入的SISO非线性时变时滞系统的自适应模糊控制仿真程序-Adaptive Fuzzy Control of SISO Nonlinear Time-Varying
Delay System with Nonlinear Input
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自适应控制中，用Matlab算法实现增广递推最小二乘参数估计-Adaptive control, augmented with Matlab algorithm recursive least squares parameter estimation
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在自适应控制中，用Matlab算法实现白噪声及有色噪声序列的产生-In adaptive control, white noise with Matlab algorithm and the generation of colored noise sequence
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用matlab实现无模型自适应控制的点m文件-Model free adaptive control of the point m file with matlab
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EBF神经网络及PID配合使用的系统自适应控制编程，编程软件matlab-EBF neural network and PID system used in conjunction with adaptive control programming, programming software matlab
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matlab求解含有时间延迟的微分方程
(含有adaptive robust control)-By making use of Matlab to solve a class of differential equations with time-delays(adaptive robust control)
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Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
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Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of t
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matlab code fuzzy in simulink
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参考模型为三阶的模型参考自适应控制，参考模型为三阶的模型参考自适应控制(Model Reference Adaptive Control with Reference Model as Third Order)
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