tom_love

Graphical Layout Editor extends Graphical Editor With Palette.

本书结合作者的研究工作，详细介绍了基于线性矩阵不等式的不确定系统鲁棒控制的概念、理论及设计方法。主要内容包括目前应用广泛的线性矩阵不等式的概念、理论、算法及相关软件；基于线性矩阵不等式处理方法的线性时不变系统性能分析和综合方法；重点介绍了不确定系统的模型、鲁棒性能分析、鲁棒H2/H∞控制、LMI区域及相应的区域极点配置方法、结合二次型性能指标的保性能控制、鲁棒方差控制等。 (This book combines the author' s research work, described in detail based on the linear matrix inequalities robust control of uncertain systems of concepts, theories and design methods. Including the current application of the main contents of a wide range of linear matrix inequalities of the concepts, theories, algorithms and related software treatment based on linear matrix inequalities linear time-invariant system performance analysis and synthesis methods focuses on the uncertain system model, Robust performance analysis, robust H2/H ∞ control, LMI region and the corresponding regional pole placement method, combined with quadratic performance index of the guaranteed cost control, Robust variance control.)

通过切身休体会，总结了一些关于制作电子期刊的小技巧，供大家方便使用。(Break through personal experience, summed up a number of electronic journals on the production of tips for your convenience.)

说明：  表白页面源码，包含多种表白方式，免费赠送。(Express page source code, including a variety of forms of expression, free of charge.)

说明：  changes in webscarab

刚学数据结构,所以就写了一个归并排序,请大家多多指教!-just data structure, so it was a merger order, please exhibitions!

说明：  计算RV减速器摆线针轮啮合，一赫兹公式为核心，李力形(Calculate the engagement of the cycloidal pin wheel of RV Reducer, with the one Hertz formula as the core and the Li force shape)

说明：  SVG工作原理图，主电路为电压型桥式电路，电流解耦的双闭环控制策略，svpwm的MATLAB仿真(SVG working principle diagram, voltage bridge circuit as the main circuit, current decoupling double closed loop control strategy, SVPWM MATLAB simulation)

本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related theory, combined with the BP neural network, RBF neural network, SVM, SOM neural network, grey neural network, decision tree, random forest, wavelet neural network and NARX neural network, optimization algorithm and neural network.)

PSCAD仿真,非常有参考价值，对于新能源的学习(PSCAD da da ad adsf adsf adsfa fdsaf adfs adf)