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ARDroneSimulinkDevKit_V1
- 该开发套件包含模拟AR鹦鹉无人机2.0实时Wi-Fi控制的实例。 仿真模块基于系统对车辆模型派生的识别。在Wi-Fi控制块能够发送指令得到无人驾驶飞机的实时状态。 -The development kit consists of blocks and examples for the simulation and real-time Wi-Fi control of the Parrot AR Drone 2.0.
pids(C)-OK
- 我调试过的PID 追踪车辆轨迹算发,用于模拟无人驾驶,C 算法-I debug the PID tracking vehicle trajectory calculation, used to simulate unmanned, C algorithm
模型预测控制
- 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. Studen
mpc-m file
- mpc算法,模型预测控制，主要用于无人驾驶车辆的路径追踪，比起pid实时性更好。(mpc algorithm Algorithm, model predictive control, mainly used for path tracking of unmanned vehicles, better than pid real-time.)
lqr
- 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. Lon
chap5 Matlab Code
- 基于动力学学模型的轨迹跟踪控制，无人驾驶车辆模型预测控制第二版第五章(Trajectory tracking control based on dynamics model, Chapter 5 of model predictive control of driverless vehicle)
chap6_LocalPlan_TrackingCtrl
- 加入规划层的轨迹跟踪控制，无人驾驶车辆模型预测控制第二版第六章(Add trajectory tracking control of planning layer, Chapter 6 of the second version of model predictive control of driverless vehicles)