Matlab在概率统计教学中的作用

Matlab是美国Mathworks公司自20世纪80年代中期推出的数学软件,其优秀的数值计算能力和卓越的数据可视化能力使其在众多的数学软件中脱颖而出,到目前为止该软件已成为多学科多种工作平台的功能强大的大型软件,在欧美高校,Matlab已成为线性代数,自动控制理论,概率论与数理统计等高级课程的基本数学工具,是大学生必须掌握的基本技能。     

结合自动控制理论的现代控制理论教学研究

根据现代控制理论课程的特点,以提高课堂教学质量为目的,提出一种结合自动控制理论相关知识的现代控制理论教学方法。本文结合两门课程的特点,从数学模型的建立、系统响应与系统运动分析的关系以及系统的稳定性三个方面进行了阐述,并通过对例题的讲解进行具体分析。实践结果表明,该教学改革降低了学生对新知识的理解难度,激发了学生的学习兴趣,取得了良好的教学效果。     

清华大学出版社

1.《纳米材料表面电子结构分析》-本书从表面科学角度,重点介绍如何利用表面科学实验方法获取纳米材料电子结构的信息,同时,注意理论计算与具体实验结果相结合,比较清楚地阐释了纳米结构状态下电子结构的特点。2.-《工程环境控制论》工程环境控制论是一门跨于传统工程学、环境学、自动控制理论之间的横向交叉学科,属于技术基础学科范畴,应用范围宽广。本书重点论述了结构功能控制的应用模式,涉及高层建筑、桥梁、汽车/飞机等结构振动控制问题。3.-《机器人学》(第二版)-本书介绍机器人学的基本原理及其应     

自动控和理论课程教学改革探索

为了培养学生的创新能力和理论联系实际的能力,我们主要从课程体系、课程内容、教学方法和教学手段等几个方面对自动控制理论课程进行了教学改革,以期提高教学效果。     

基于MATLAB的波特图超前校正的设计

针对超前校正器的频率设计方法理论计算复杂而且校正前后不直观等问题,提出借助MATLAB进行仿真,用较小的计算量即可满足系统的性能要求,同时校正前后的效果直观.     

二阶系统传递函数实验改革与探讨

详细地探讨了二阶系统传统函数教学试验模拟的原理和方法，在此基础上改革为MATLAB仿真试验。     

Suboptimal reliable guaranteed cost control for continuous-time systems with multi-criterion constraints

The suboptimal reliable guaranteed cost control （RGCC） with multi-criterion constraints is investigated for a class of uncertain continuous-time systems with sensor faults. A fauk model in sensors, which considers outage or partial degradation of sensors, is adopted. The influence of the disturbance on the quadratic stability of the closed-loop systems is analyzed. The reliable state-feedback controller is developed by a linear matrix inequalities （LMIs） approach, to minimize the upper bound of a quadratic cost fimction under the conditions that all the closed-loop poles be placed in a specified disk, and that the prescribed level of H∞ disturbance attenuation and the upper bound constraints of control inputs＇ magnitudes be guaranteed. Thus, with the above muki-criterion constraints, the resulting closed-loop system can provide satisfactory stability, transient property, a disturbance rejection level and minimized quadratic cost performance despite possible sensor faults.     

Batch process monitoring based on multilevel ICA-PCA

In this paper, we describe a new batch process monitoring method based on multilevel independent component analysis and principal component analysis （MLICA-PCA）. Unlike the conventional multi-way principal component analysis （MPCA） method, MLICA-PCA provides a separated interpretation for multilevel batch process data. Batch process data are partitioned into two levels： the within-batch level and the between-batch level. In each level, the Gaussian and non-Gaussian components of process information can be separately extracted.I^2 T^2 and SPE statistics are individually built and monitored. The new method facilitates fault diagnosis. Since the two variation levels are decomposed, the variables responsible for faults in each level can be identified and interpreted more easily. A case study of the Dupont benchmark process showed that the proposed method was more efficient and interpretable in fault detection and diagnosis, compared to the alternative batch process monitoring method.     

Delay-dependent robust control for uncertain discrete singular systems with time-varying delay

The design problem of delay-dependent robust control For uncertain discrete singular systems with time-varying delay is addressed in this paper. The uncertainty is assumed to be norm-bounded. By establishing a finite sum inequality based on quadratic terms, a new delay-dependent robust stability condition is derived and expressed in terms of linear matrix inequalities （LMIs）. A suitable robust state feedback control law is presented, which guarantees that the resultant closed-loop system is regular, causal and stable for all admissible uncertainties. Numerical examples are given to demonstrate the applicability of the proposed method.