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matlab code-Function performs hysteresis thresholding of an image.
All pixels with values above threshold T1 are marked as edges
All pixels that are adjacent to points that have been marked as edges
and with values above threshold T2 are als
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用Ziegler--Nichols整定公式来求P,PI,PID的个参数,其中Gc是校正器的传递函数,kp为比例系数, Ti为积分时间常数,Td为微分时间常数,输入参量vars为带迟滞--惯性环节模型的KT τ-With Ziegler- Nichols tuning formula to seek P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coeffic
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用积分最小值准则来求P,PI,PID的个参数,其中Gc是校正器的传递函数,kp为比例系数, Ti为积分时间常数,Td为微分时间常数,输入参量vars为带迟滞--惯性环节模型的[K T τ],已知参数k=vars(1);T=vars(2);ι=vars(3),iC=vars(4) -Minimum criteria of integral seeking P, PI, PID' s parameters, which Gc is the corrector transfer function
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用Cohen--Coon整定公式来求P,PI,PID的个参数,其中Gc是校正器的传递函数,kp为比例系数, Ti为积分时间常数,Td为微分时间常数,输入参量vars为带迟滞--惯性环节模型的KT τ 输入参量vars为带迟滞--惯性环节的K T ι,已知参数k=vars(1);T=vars(2);ι=vars(3)。-With Cohen- Coon tuning formula to seek P, PI, PID' s parameters, which Gc is the corre
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基于径向基函数神经网络迟滞非线性自适应控制
提出了一种新的动态迟滞非线性模型. 将一定数量不同死区宽度的 backlash 模型并行相
加, 作为一个动态系统以仿真执行器中的迟滞特性. 利用该模型, 采用伪控制方法设计了一套具有
未知迟滞特性非线性系统的神经网络自适应控制方案, 通过自适应算法来调整干扰项的上限. 采用
Lyapunov 稳定性理论进行了严格证明, 仿真试验验证了所提方案的有效性.- A nov el class of hysteresis mo dels w
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在Matlab/Simulink环境下,把独立的功能模块和S函数相结合,构建了无刷直流 电机系统的仿真模型。系统采用双闭环控制:速度环采用离散PID控制,根据滞环电流跟踪型PWM 逆变器原理实现电流控制。仿真和试验结果与理论分析一致,验证了该方法的合理性和有效性。-In the Matlab/Simulink environment, the independent functional modules and S-function combined to build a simulation
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开关磁阻电机,电流斩波控制,编写m函数计算转矩脉动系数,电流滞环控制-Switched reluctance motor, current chopping control, write a function to calculate the torque ripple coefficient m, the current hysteresis control
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matlab实现Preisach模型,画出Everett函数以及Preisach平面-- approximate measured hysteresis loops
- simulate arbitrary minor hysteresis loops
- plot the Preisach function, the Everett function, the reversible component
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给定系统的传递函数,先进行系统降阶,因系统稳定性达到要求,故只需提高系统响应的快速性。使用超前滞后控制器即可。本程序就是使用超前滞后控制器改善系统性能。-Given the transfer function of the system, the first system to reduce the order, due to the stability of the system to meet the requirements, it is only necessary to improve
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