The basic topic of this book is Solving problems from system and control theory using convex optimization. We show that a wide variety of problems arising in system and control theory can be reduced to a handful of standard convex and quasiconvex optimization problems that involve matrix inequalities. For a few special cases there are “analytic solutions” to these problems, but our main point is that they can be solved numerically in all cases. These standard problems can be solved in polynomial- time (by, e.g., the ellipsoid algorithm of Shor, Nemirovskii, and Yudin), and so are tractable, at least in a theoretical sense. Recently developed interior-point methods for these standard problems have been found to be extremely efficient in practice. Therefore, we consider the original problems from system and control theory as solved.
标签： Linear_Matrix_Inequalities_in_Sys tem
上传时间： 2020-06-09
上传用户：shancjb
Recent years have seen a rapid development of neural network control tech- niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in Solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings.
标签： Stable_adaptive_neural_network_co ntrol
上传时间： 2020-06-09
上传用户：shancjb
n recent years, there have been many books published on power system optimization. Most of these books do not cover applications of artifi cial intelligence based methods. Moreover, with the recent increase of artifi cial intelligence applications in various fi elds, it is becoming a new trend in Solving optimization problems in engineering in general due to its advantages of being simple and effi cient in tackling complex problems. For this reason, the application of artifi cial intelligence in power systems has attracted the interest of many researchers around the world during the last two decades. This book is a result of our effort to provide information on the latest applications of artifi cial intelligence to optimization problems in power systems before and after deregulation.
标签： Intelligence Artificial System Power in
上传时间： 2020-06-10
上传用户：shancjb
General paradigm in Solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradient boosting, random forest and support vector machines that are able to accurately model nonlinear decision boundaries. Hence, Solving a computer vision problem mainly depends on the feature extraction algorithm
标签： Convolutional Networks Neural Guide to
上传时间： 2020-06-10
上传用户：shancjb
The present era of research and development is all about interdisciplinary studies attempting to better comprehend and model our understanding of this vast universe. The fields of biology and computer science are no exception. This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine—from storing enormous amounts of biological data to Solving complex biological problems and enhancing the treatment of various diseases.
上传时间： 2020-06-10
上传用户：shancjb
This Getting Started Guide is written for Maxwell beginners and experienced users who would like to quickly re familiarize themselves with the capabilities of MaxwelL.This guide leads you step-by-step through Solving and analyzing the results of a rotational actuator magnetostatic problem with motion By following the steps in this guide, you will learn how to perform the following tasks Modify a models design parameters y Assign variables to a model's design parameters.Specify solution settings for a design Validate a designs setupRun a maxwell simulation v Plot the magnetic flux density vecto v Include motion in the simulation本《入门指南》是为希望快速重新熟悉MaxwelL功能的Maxwell初学者和有经验的用户编写的。本指南将引导您逐步解决和分析旋转致动器静运动问题的结果。按照本指南中的步骤，您将学习如何执行以下任务。修改模型设计参数y将变量分配给模型的设计参数。指定设计的解决方案设置验证设计设置运行maxwell模拟v绘制磁通密度vecto v在模拟中包含运动
上传时间： 2022-03-09
上传用户：zinuoyu
像计算机科学家一样思考Python-第2版，本书的目标是教你像计算机科学家一样思考。这一思考方式集成了数学、工程以及自然科学的一些最好的特点。像数学家一样，计算机科学家使用形式语言表示思想（具体来说是计算）。像工程师一样，计算机科学家设计东西，将零件组成系统，在各种选择之间寻求平衡。像科学家一样，计算机科学家观察复杂系统的行为，形成假设并且对预测进行检验。对于计算机科学家，最重要的技能是问题求解 的能力。问题求解 (problem Solving) 意味着对问题进行形式化，寻求创新型的解决方案，并且清晰、准确地表达解决方案的能力。事实证明，学习编程的过程是锻炼问题解决能力的一个绝佳机会。这就是为什么本章被称为 ‘‘程序之道’’。一方面，你将学习如何编程，这本身就是一个有用的技能。另一方面，你将把编程作为实现自己目的的手段。随着学习的深入，你会更清楚自己的目的。
上传时间： 2022-07-26
上传用户：hbsun
