C_PSO.m

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)

详细的空时分组码程序，包括2发4收和4发4收，是初学者很好的学习材料。(Detailed space-time block coding procedures, including admission and 2 fat 4 fat, 4 received 4 is a very good learning materials for beginners.)

异步电机的电流预测控制，给定转速，通过比较电机输出的dq轴电流和给定电流判断控制性能的优劣(predictive Current Control)

MATLAB USPS数据下的PCA和LDA算法实现程序。测试通过。(MATLAB USPS data under the PCA and the LDA algorithm program. Test.)

Book about Fiber Optic Systems and Measurements

mimo在各信道、算法、模型下的性能分析与仿真(mimo performance analysis and simulation in each channel, algorithms, models)

Constrain Fuzzy model identification的学习文件以及其模拟的源码。(Include "Constrain Fuzzy model identification" learning document and simulation matlab code.)

aco解决tsp问题 matlab源码 可做为学习参考(Ant intelligent algorithm to solve the traveling salesman problem)

PCA程序，可用于学习交流，也可用于特征脸的获取等(PCA program can be used for the exchange of learning, it can also be used to obtain the characteristics of the face, etc.)

sparse multinomial logistic regression