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Robustcontrol
- An adaptive fuzzy integral sliding mode controller for mismatched time-varying linear systems is presented in this paper. The proposed fuzzy integral sliding mode controller is designed to have zero steady state system error under step inputs
z4
- 摘 要:本文主要研究的是任意方向的匀速直线运动模糊图像的模糊方向判断算法,主要根据运动模糊降低了运动方向上图像的高频成 分,沿着运动方向实施高通滤波,可保证微分图像灰度值(绝对值)之和最小,论文中就是根据这种原理来判断出匀速运动模糊图像的运动 模糊方向,采用了3×3方向的微分乘子法来判断图像的运动模糊方向,从而可将图像的恢复问题转化为一维问题。-Abstract: This paper studies the direction of arbitrary uniform linear m
z5
- 摘 要 运动模糊恢复就是利用运动模糊退化的某种先验知识来重建或恢复原有图像 在运动模糊的点扩散函数未知的情况下 : 。 , 估计运动模糊的点扩散函数是运动模糊恢复的前提和关键 从傅立叶变换的角度对匀速直线运动模糊图像的点扩散函数在频域 。 论证了点扩散函数在频域内的零点特性及模糊图像两次傅立叶同态变换后的方向特性 并提出了利用这中的特点做了理论分析,些特性进行运动模糊方向估计的方法及两种模糊距离的估计方法 实验结果证明了所提出方法的有效性-Abstract motion blur
FPGA-xyPMLSMtable
- FPGA_Realization of Adaptive Fuzzy Controller for the Linear X_Y Table
Adaptive-control-of-robot-manipulator-using-fuzzy
- This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonline
Stable-adaptive-fuzzy-control-for-MIMO-non-linear
- Stable adaptive fuzzy control for MIMO non linear systems 20-Stable adaptive fuzzy control for MIMO non linear systems 2011
High-speed-train-simulation
- 为了设计出智能的列车悬挂系统提出了基于神经网络的自适应模糊控制 模糊控制主要是针对系统的非线性神经网络控制是产生模糊控制的控制规则。最后通话matlab仿真，得出可行性。-In order to design intelligent train suspension system is proposed based on adaptive neural network fuzzy control fuzzy control is mainly for non-linear neural netw
FuzzyPIDTuning
- tuned, conventional PID controller, replace it with an equivalent linear fuzzy controller,
Tuning-pID-Controllers
- Tuning fuzzy PID controller is starting from a tuned linear PID controller, replacing it with a linear fuzzy
Fuzzy-PID-dual-mode-control-system
- 交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典P
Neural-expert-and-neuro-fuzzy_11
- Non linear algorithm: neuro-fuzzy
pxc387264
- Fuzzy Pi and Integrating Type Fuzzy PID Controllers of Linear, Nonlinear and Time -Delay Systems
45TOAUTOCJ
- Robust Fuzzy Fault Detection for Non-Linear Stochastic Dynamic Systems
APF thesis
- This thesis is a part of the research carried out on a double stage grid connected photovoltaic system, associated with a shunt active power filter. In the first stage, the photovoltaic generator is connected to a boost DC-DC converter, acting throug
barbosa2016
- Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.