kalman-using-matlab

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.

单级倒立摆二级倒立摆simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization(Single-stage inverted pendulum inverted pendulum simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization)

本书遵循一些与Apache Maven相关的命名和字体使用约定。同样，预先理解这些预定能 让让你更易阅读本书。 (Maven application documents, and installation and other operations)

小鱼数量的时间变化曲线 , 鲨鱼数量的时间变化曲线(Time curve of fish quantity ' ,' shark number of time curve)

Diferent High pass Image Filters, as HoG, Laplacian

本资料系统全面的介绍了matlab 7.0的使用方法，是初学者学习matlab的优良资料。(This comprehensive introduction to information systems to use matlab 7.0, matlab for beginners to learn the fine data.)

IEEE 802.11ac 协议草案2012年5月版本。正式版本大概是2014年初才能确定。(IEEE 802.11ac draft version of the agreement in May 2012.)

DIIVINE 目前最先进的无参考图像质量评价软件(DIIVINE the most advanced no reference image quality assessment algorithm)

Computer Networking - Selective Repeat

DC Motor quadrant Drive