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Search - Lyapunov speed - List
[
Algorithm
]
lyapunov_wolf
DL : 1
lyapunov指数求解,采用wolf法,计算速度极快-lyapunov Index solving, using wolf law, the calculation speed
Date
: 2025-07-11
Size
: 3kb
User
:
holysword
[
AI-NN-PR
]
lyapunov(wolf)
DL : 0
混沌时间序列中的用wolf法计算lyapunov 指数,速度超快-In chaotic time series using wolf method in the calculation of Lyapunov index, speed Ultrafast
Date
: 2025-07-11
Size
: 55kb
User
:
xiaoyu
[
JSP
]
generator-system
DL : 0
首先提出了基于微分几何控制理论的双馈发电机非线性多输入多输 状态反馈解藕控制方案,通过非线性坐标变换和非线性状态反馈,使双 发电机的磁链和转速两个子系统实现了动态完全解藕。其次采用基于定 磁场定向的双馈发电机矢量控制,实现定子侧有功功率和无功功率的解藕 为了消除交叉藕合电动势对发电机参数的影响,采用内模控制解藕控制 案,使系统具有良好的输出动态性能。最后在分析双馈发电机的数学模 和矢量控制的基础上,提出了一种基于模型参考自适应方法的定子、转 磁链观测、发电机转速估计和转子电阻辨识算法,应用Lyapunov原理证 了估计的收敛性,并应用于上述解藕控制方案中。在对算法进行理论推 的基础上,应用Matlab/simulink,对各个算法和系统进行了仿真,检验了 算法和控制方案的可行性。 -First proposed nonlinear multi-input multi-input state feedback the decoupled control programs through nonlinear coordinate transformation and nonlinear state feedback control theory based on differential geometry doubly-fed generator, dual generator flux and speed sub-systems to achieve the dynamic completely decoupled. Secondly, based on the fixed magnetic field oriented vector control of doubly-fed generator stator side active power and reactive power decoupling in order to eliminate the cross-coupling of the electromotive force of the generator parameters using the internal model control decoupling control case, so that the system which has good dynamic performance. Finally, in the analysis of the doubly-fed generator based on the mathematical model, and vector control, a method based on the model reference adaptive stator, turn flux observer, generator speed estimation and rotor resistance identification algorithm using the Lyapunov principle permit estimated convergence, and appl
Date
: 2025-07-11
Size
: 5.78mb
User
:
zhangjie
[
Software Engineering
]
A-simple-and-robust-Speed-Tracking-Control-of-PMS
DL : 0
This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results instructions
Date
: 2025-07-11
Size
: 558kb
User
:
axel
[
Software Engineering
]
Extended-Kalman-Filter-Based-Speed
DL : 0
This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results instructions
Date
: 2025-07-11
Size
: 637kb
User
:
axel
[
LabView
]
2links-Robo
DL : 0
In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple structure and fast convergence speed. The adaptive learning law of orthogonal neural network is derived to guarantee that the adaptive weight errors and tracking errors are bound by using Lyapunov stability theory. Simulation results are given for a two-link robot in the end of the paper, and the control scheme is validated.
Date
: 2025-07-11
Size
: 159kb
User
:
yashar
[
Other
]
Bao-chaotic-system
DL : 0
针对三阶包氏混沌系统,刻画系统李雅普诺夫指数谱。改程序采用雅可比矩阵法,运算速度快捷。Bao chaotic system Lyapunov exponent spectrum-system, describe the system of Lee Yap Andrianof spectrum index. Change the program using the Jacobi matrix method, fast calculation speed.
Date
: 2025-07-11
Size
: 1kb
User
:
横槊
[
Other
]
lyapunov
DL : 0
两种方法求最大李雅普诺夫指数,第二种方法基于RHR算法的李氏指数计算方法来求解,收敛速度较快。-Code for solving the biggest lyapunov index, the second method is based on the RHR algorithm, its convergence speed is faster.
Date
: 2025-07-11
Size
: 9kb
User
:
Hawlin Ye
[
Algorithm
]
maolai
DL : 0
wolf 方法计算李雅普诺夫指数,混沌的判断指标Lyapunov指数计算,部分实现了追踪测速迭代松弛算法。- wolf calculated Lyapunov exponent, Chaos indicator for Lyapunov index calculation, Partially achieved tracking speed iterative relaxation algorithm.
Date
: 2025-07-11
Size
: 8kb
User
:
徐小海
[
Other
]
fingmou
DL : 0
混沌的判断指标Lyapunov指数计算,仿真图是速度、距离、幅度三维图像,加入重复控制。- Chaos indicator for Lyapunov index calculation, FIG simulation speed, distance, amplitude three-dimensional image, Join repetitive control.
Date
: 2025-07-11
Size
: 5kb
User
:
吕斌绒
[
Algorithm
]
kenlie
DL : 0
部分实现了追踪测速迭代松弛算法,sar图像去噪的几种新的方法,wolf 方法计算李雅普诺夫指数。- Partially achieved tracking speed iterative relaxation algorithm, Several new methods sar image denoising, wolf calculated Lyapunov exponent.
Date
: 2025-07-11
Size
: 5kb
User
:
jiemen
[
matlab
]
quimao
DL : 0
部分实现了追踪测速迭代松弛算法,实现用SDRAM运行nios,同时用SRAM保存摄像头数据,wolf 方法计算李雅普诺夫指数。- Partially achieved tracking speed iterative relaxation algorithm, Implemented with SDRAM run nios, while saving camera data SRAM, wolf calculated Lyapunov exponent.
Date
: 2025-07-11
Size
: 6kb
User
:
王晓波
[
Algorithm
]
kang-ef10
DL : 0
已调制信号计算其普相关密度,仿真图是速度、距离、幅度三维图像,wolf 方法计算李雅普诺夫指数。- Modulated signals to calculate its density Pu-related, FIG simulation speed, distance, amplitude three-dimensional image, wolf calculated Lyapunov exponent.
Date
: 2025-07-11
Size
: 5kb
User
:
王勇
[
File Format
]
cxbti
DL : 0
wolf calculated Lyapunov exponent, Partially achieved tracking speed iterative relaxation algorithm, Minimum mean square error MSE calculation algorithm.
Date
: 2025-07-11
Size
: 6kb
User
:
mietenfunpan
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