数值计算经典教材（含各种经典方法的MATLAB实现，建议自己实现后再与教材比对），简单易懂

Model predictive control (MPC) has a long history in the field of control en- gineering. It is one of the few areas that has received on-going interest from researchers in both the industrial and academic communities. Four major as- pects of model predictive control make the design methodology attractive to both practitioners and academics. The first aspect is the design formulation, which uses a completely multivariable system framework where the perfor- mance parameters of the multivariable control system are related to the engi- neering aspects of the system; hence, they can be understood and ‘tuned’ by engineers. The second aspect is the ability of the method to handle both ‘soft’ constraints and hard constraints in a multivariable control framework. This is particularly attractive to industry where tight profit margins and limits on the process operation are inevitably present. The third aspect is the ability to perform on-line process optimization. The fourth aspect is the simplicity of the design framework in handling all these complex issues. This book gives an introduction to model predictive control, and recent developments in design and implementation. Beginning with an overview of the field, the book will systematically cover topics in receding horizon con- trol, MPC design formulations, constrained control, Laguerre-function-based predictive control, predictive control using exponential data weighting, refor- mulation of classical predictive control, tuning of predictive control, as well as simulation and implementation using MATLAB and SIMULINK as a platform. Both continuous-time and discrete-time model predictive control is presented in a similar framework.

作者: Alex Gonzalez 出版社: Packt Publishing 副标题: Over 70 hands-on recipes for professional embedded Linux developers to optimize and boost their Yocto know-how 出版年: 2015-3-31 页数: 225 定价: USD 44.99 装帧: Paperback ISBN: 9781784395186

经典书籍

为Using the C++ Standard Template Libraries 英文版本的PDF文档，作者为Ivor Horton，中文名称为《C++标准模板库编程实战》，可惜中文译本很多地方翻译的很生硬，因此建议对照英文原版阅读。本资源转载自网络，如有侵权，请联系上传者或csdn删除

Object first with Java- A practical introduction using bluej 6th edition David J.Barnesss & Michael Kolling

Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow using Keras. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started.

连接MYSQL数据库 DLL引用 当使用MySqlConnection时提示缺少USING的引用指令和程序集时需要

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields ∗ 源代码　open pose 实时人体姿态估计 caffe+python+matlab

Single Image Haze Removal Using Dark Channel Prior 图像去雾 原文及翻译 何凯明