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说明：  数字pid控制仿真，包括位置式pid算法和增量式算法(figures pid control simulation, including location-pid algorithm and incremental algorithm)

matlab中的clock函数与进度条联合使用例子(matlab in clock function in combination with the progress bar examples)

说明：  6dof of f16 with matab.

设定循环检测次数，这里设为只循环一次 tip_l=1 设定hough变换的遍历步径 xl=30 ％设定线段起始点 xr=60 ％设定线段终止点(Set the number of cycle detection, here is set to cycle only once tip_l = 1 set hough transform Path traversal step xl = 30 set line segment starting point xr = 60 set line segment termination point)

implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive beamforming and filtering for antenna arrays.

用MATLAB编写的青花瓷。。。。。。。。。(Matlab matlabsd af)

differentialDrive robot takes the robot s start and goal positions and orientations and the robot s trajectory and plots this on a graph

研究风电接入对电力系统影响的经典书籍,适用于相关专业人士(classical text book to learn about winder power and its affect on power system)

PLOTTING PHASOR QUANTITIES USING MATLAB IN PSCAD A simple case which uses MATLAB for ploting phasor quantities. Apply the fault during simulation run and observe phasor quantities (you can change type of fault) WARNING * This case only works if you use the Compaq/Intel Fortran Compiler. (PLOTTING PHASOR QUANTITIES USING MATLAB IN PSCAD A simple case which uses MATLAB for ploting phasor quantities. Apply the fault during simulation run and observe phasor quantities (you can change type of fault) WARNING * This case only works if you use the Compaq/Intel Fortran Compiler. )

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)