《斯坦福大学开放课程 : 线性动力系统绪论》(Open Stanford Course : Introduction to Linear Dynamical Systems)开放式课程 更新完毕[MP4]
![《斯坦福大学开放课程 : 线性动力系统绪论》(Open Stanford Course : Introduction to Linear Dynamical Systems)开放式课程 更新完毕[MP4]](/Uploads/27/270/270890.jpg)
电驴资源
电驴资源简介
简介:
/thumb.jpg)
发布说明 这个课程VC上以前有网友发布过前6集 由于某些原因不能继续更新
所以我去斯坦福大学官网下载该课程视频 会陆续全部更新上来
资源简介:
斯坦福大学的“Stanford Engineering Everywhere ”免费提供学校里最受欢迎的工科课程，给全世界的学生和教育工作者。
得益于这个项目，我们有机会和全世界站在同一个数量级的知识起跑线上。
本课程系列内容来源于斯坦福大学的“Stanford Engineering Everywhere ”项目。
官网地址： http://see.stanford.edu/default.aspx
斯坦福大学开放课程 : 线性动力系统课程 课程代号EE263
Open Stanford Course : Introduction to Linear Dynamical Systems
主讲: Stephen Boyd
/thumb.jpg)
课程介绍:
线性动力系统（ EE263 ）介绍应用线性代数和线性动力系统，与应用电路，信号处理，通信和控制系统。主题包括：最小二乘aproximations的超定方程和最不规范的解决方案的underdetermined方程。对称矩阵，矩阵范数和奇异值分解。特征值，左，右特征向量，和动态的解释。矩阵指数，稳定和渐近性。多输入多输出系统，冲动和步骤矩阵;卷积和转移矩阵描述。控制，可达性，状态转移，和最不规范的投入。观测和最小二乘状态估计。
Course Description
Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems.
Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation.
Prerequisites: Exposure to linear algebra and matrices. You should have seen the following topics: matrices and vectors, (introductory) linear algebra; differential equations, Laplace transform, transfer functions. Exposure to topics such as control systems, circuits, signals and systems, or dynamics is not required, but can increase your appreciation.
课程视频预览:
/thumb.jpg)
发布说明 这个课程VC上以前有网友发布过前6集 由于某些原因不能继续更新
所以我去斯坦福大学官网下载该课程视频 会陆续全部更新上来
资源简介:
斯坦福大学的“Stanford Engineering Everywhere ”免费提供学校里最受欢迎的工科课程，给全世界的学生和教育工作者。
得益于这个项目，我们有机会和全世界站在同一个数量级的知识起跑线上。
本课程系列内容来源于斯坦福大学的“Stanford Engineering Everywhere ”项目。
官网地址： http://see.stanford.edu/default.aspx
斯坦福大学开放课程 : 线性动力系统课程 课程代号EE263
Open Stanford Course : Introduction to Linear Dynamical Systems
主讲: Stephen Boyd
课程介绍:
线性动力系统（ EE263 ）介绍应用线性代数和线性动力系统，与应用电路，信号处理，通信和控制系统。主题包括：最小二乘aproximations的超定方程和最不规范的解决方案的underdetermined方程。对称矩阵，矩阵范数和奇异值分解。特征值，左，右特征向量，和动态的解释。矩阵指数，稳定和渐近性。多输入多输出系统，冲动和步骤矩阵;卷积和转移矩阵描述。控制，可达性，状态转移，和最不规范的投入。观测和最小二乘状态估计。
Course Description
Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems.
Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation.
Prerequisites: Exposure to linear algebra and matrices. You should have seen the following topics: matrices and vectors, (introductory) linear algebra; differential equations, Laplace transform, transfer functions. Exposure to topics such as control systems, circuits, signals and systems, or dynamics is not required, but can increase your appreciation.
课程视频预览: