Economic-Dispatch

matlab优化工作箱简介，适合初学者学习(matlab optimization box profile, suitable for beginners to learn)

最优控制教程，里面详述了不同最优控制方法的解决方法(Optimal control tutorial)

Burg算法的程序，还有改进的 Burg算法的程序(Burg algorithm procedures, as well as improved procedures Burg algorithm)

自适应中值滤波器算法RAMf在图像降噪方面的应用，实现参数适时改变，算法及代码(Adaptive Median Filters: New Algorithms and Results)

实现由matlab中数据先传入txt，再传入access数据库的函数。(First incoming txt, incoming access database functions by matlab data.)

Owen2008年出版的Computational methods for plasticity: theory and applications一书中的源程序(Owen2008 published Computational methods for plasticity: theory and applications a source book)

企业的生产计划在利润最高，产量有限，考虑市场价格波动以及存储有限的生产基本情况下，进行加工 、购买的规划设计.在设计时要考虑产量、价格、储存容量以及混合硬度等因素对规划的影响。(Production plans to the highest profit, output is limited, consider the market price fluctuations, as well as limited storage, under the basic conditions of production, processing, purchase planning and design. Should be taken into consideration in the design of production, price, storage capacity, as well as factors such as mixed-hardness on the planning impact.)

matlab编写的关于fdtd编程的步骤和具体方法，适合初学者，且直接是三维结构，用mur吸收边界条件(Matlab fdtd prepared by the programming steps and concrete measures for beginners, which is the three-dimensional structure directly with mur absorbing boundary conditions)

基于LMS算法和RLS算法的自适应滤波器设计(Based on LMS and RLS adaptive filter design)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)