登录
首页 » matlab » 模型预测控制

模型预测控制

于 2021-03-16 发布 文件大小:531KB
0 192
下载积分: 1 下载次数: 66

代码说明:

  基于模型预测控制设计的无人驾驶车辆轨迹跟踪问题,内附有MATLAB程序与详细的建模过程,研究车辆转向的同学可以作为参考(The trajectory tracking of unmanned vehicles based on model predictive control design is accompanied by MATLAB programming and detailed modeling process. Students studying the steering of the vehicle can be used as a reference.)

文件列表:

模型预测控制, 0 , 2017-10-02
模型预测控制\MPC.m, 4261 , 2017-08-23
模型预测控制\基于模型预测控制的无人驾驶车辆轨迹跟踪问题研究.pdf, 603247 , 2017-10-02

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Wiener
    维纳滤波算法去除加噪声音乐程序,效果比较好,有图为证。(Wiener filter algorithm to remove noise adding music program, the effect is better, has a license to the graph. )
    2013-12-18 10:23:20下载
    积分:1
  • Clarke
    说明:  尽管瑞利和莱斯分布确实能够在很多情况下对信号通过衰落信道后的包络进行很好的建模,然而,在实际的无线环境测试中,发现Nakagami分布提供了更好的与实际测试的匹配度。(Although Rayleigh and rice distribution can model the envelope of the signal after passing through the fading channel in many cases, in the actual wireless environment test, Nakagami distribution is found to provide a better match with the actual test.)
    2020-03-10 15:29:21下载
    积分:1
  • pso
    说明:  基于matlab的标准粒子群优化算法,?趍atlab的标准粒子群优化算法,(Matlab based on the standard particle swarm optimization algorithm,? 趍atlab standard particle swarm optimization algorithm,)
    2008-11-21 11:06:31下载
    积分:1
  • yuaxingxianquancichang
    用matlab绘画圆形线圈周围磁场分布图(Painting a circular coil magnetic field)
    2012-05-09 12:40:15下载
    积分:1
  • emd_new
    EMD的matlab例程,用于振动、医疗、工业等领域中的信号处理(EMD Matlab routines for vibration, health, industry and other fields of signal processing)
    2007-05-20 15:32:23下载
    积分:1
  • DS-SS-System
    DS-SS system with blocks for synchronization of clock and carrier
    2011-07-01 05:18:23下载
    积分:1
  • Adding_Noise_and_Image_Restoration (1)
    adding noise and image registration
    2017-06-27 13:06:29下载
    积分:1
  • code
    Eular方程的移动网格程序,用弧长函数做控制函数。(moving mesh for Eular equation)
    2009-12-16 22:29:15下载
    积分:1
  • automatic-Emotion-predictor-sytem
    A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [
    2013-11-26 22:40:05下载
    积分:1
  • 2D-Multi-Parameter-Pie-Control
    2D Multi-Parameter Pie Control
    2013-12-31 18:04:05下载
    积分:1
  • 696518资源总数
  • 104349会员总数
  • 32今日下载