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MATLAB-PID-chengxu
使用说明
1、所有仿真算法按章归类，光盘中的程序名与书中一一对应。
2、将光盘中的仿真程序复制到硬盘MATLAB运行的路径中，便可仿真运行。
3、本书算法在MATLAB 5.3版下运行成功，并适用于其他版本。
4、程序chap1_11.mdl；chap3_2.mdl；chap3_5.mdl；chap6_2.mdl；chap6_4.mdl需要在Matlab6.5下运行，特此说明。
5、假如您对仿真程序有疑问，请及时通过 E-mail 与作者联系。
北京航空航天大学 刘金琨
E-mail 地址： ljk@dept3.buaa.edu.cn或ljk@buaa.edu.cn(Instructions for use, all the simulation algorithms classified by chapter, program name in the CD-ROM and book one-to-one correspondence. 2, the simulation program in the CD-ROM copied to the hard MATLAB running path simulation can be run. Book algorithms in MATLAB 5.3 running successfully, and applies to other versions. 4, the program chap1_11.mdl chap3_2.mdl chap3_5.mdl chap6_2.mdl chap6_4.mdl in Matlab6.5 run is noted. 5, if your simulation program have any questions, please timely contact the author via E-mail. Beijing University of Aeronautics and Astronautics of Liu Jinkun E-mail address: ljk@dept3.buaa.edu.cn or ljk@buaa.edu.cn)
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montecarlo
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lqr
说明： 无人驾驶汽车运动控制分为纵向控制和横向控制。纵向控制是指通过对油门和制动的协调，实现对期望车速的精确跟随。横向控制实现无人驾驶汽车的路径跟踪。其目的是在保证车辆操纵稳定性的前提下，不仅使车辆精确跟踪期望道路，同时使车辆具有良好的动力性和乘坐舒适性。(The motion control of driverless cars is divided into vertical control and lateral control. Longitudinal control refers to the precise follow-up of the desired speed by coordinating the throttle and brake. Lateral control enables path tracking of driverless cars. The purpose is to ensure that the vehicle accurately tracks the desired road while ensuring the stability of the vehicle, while at the same time making the vehicle have good power and ride comfort.)
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graph_unrelated_x
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Integer-programming--matlab-code
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