登录
首页 » matlab » SMC-controller-master

SMC-controller-master

于 2020-11-07 发布 文件大小:7694KB
0 205
下载积分: 1 下载次数: 22

代码说明:

  关于滑模控制的自主车辆轨迹规划,挺详细的,可以学习下,加油!(Trajectory Planning for Autonomous Vehicles using Sliding Mode Control)

文件列表:

SMC-controller-master, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\Harish_N_Sathishchandra_project_report.pdf, 832206 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\Trajectory.m, 1425 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\arcLength.m, 1742 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\internalDynamics_vehicle_A.m, 1420 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\load.m, 1525 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\make_static.m, 1438 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\solveID.m, 493 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\@Trajectory\transform.m, 1553 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\KINSM.mj2, 2456296 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\KinSliding.m, 1437 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\CARparameters.m, 422 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\MAPPING INPUTS.txt, 409 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\description_mapping.pdf, 117550 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\generateNoise.m, 480 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\mappings, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\mappings\AXController_pacejka.m, 2366 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\mappings\ForceController_pacejka.m, 896 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\mappings\map0.m, 275 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\vmodel_A, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\vmodel_A\load_parameters_orend.m, 254 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Models\vmodel_A\vmodel_A.m, 2037 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Scenarios, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Scenarios\01_single_lane_change.mat, 295 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Scenarios\02_double_lane_change.mat, 314 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\TEST.m, 1521 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Visualization, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Visualization\myquiver.m, 205 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Visualization\visualize.m, 2567 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Visualization\vplot.m, 712 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Visualization\vplot_aggregate.m, 274 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\Visualization\vplot_ref.m, 259 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\default_options.m, 264 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\create_poly.m, 247 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\create_poly_coefficients.m, 691 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\create_poly_derivative.m, 255 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\d2dt2_atan.m, 208 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\ddt_atan.m, 152 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\find_and_replace.m, 2462 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\fval.m, 276 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\fwrap.m, 121 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\generate_powers.m, 168 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\generate_seed.m, 79 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\getLocalError.m, 832 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\invT_bicycle.m, 627 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\measr.m, 349 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\numerical_derivative.m, 86 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\numerical_derivative2.m, 110 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\parseInput.m, 1720 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\randinterval.m, 120 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\saturate.m, 96 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\sgn.m, 95 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\skew.m, 111 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\fncs\splineTrajectory.m, 906 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\getVehicleX0.m, 390 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\global_test1_6.mat, 964849 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\html, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\html\KinSliding.doc, 29184 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\latex, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\latex\latexTable.m, 10110 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\myode4_fixed_state.m, 598 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\preload, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\preload\Kopt_lqr_mu_0.6.mat, 1066 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\preload\Kopt_lqr_mu_1.mat, 1065 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\simulate.m, 2749 , 2018-05-13
SMC-controller-master\Harish_ME762_project\SMC_simulation_code\startup.m, 25 , 2018-05-13
SMC-controller-master\Harish_ME762_project\Trajectory Planning for Autonomous Vehicles using Sliding Mode Control.pptx, 1287345 , 2018-05-13
SMC-controller-master\Harish_ME762_project\references, 0 , 2018-05-13
SMC-controller-master\Harish_ME762_project\references\Automatic Steering Methods for Autonomous Automobile Path Tracking.pdf, 1718759 , 2018-05-13
SMC-controller-master\Harish_ME762_project\references\Sliding Mode Control for trajectory tracking of nonholonomic wheeled mobile robots.pdf, 496276 , 2018-05-13
SMC-controller-master\Harish_ME762_project\references\Sliding Mode control a tutorial.pdf, 173630 , 2018-05-13
SMC-controller-master\Harish_ME762_project\references\Trajectory planning and sliding-mode control.pdf, 1681974 , 2018-05-13
SMC-controller-master\README.md, 91 , 2018-05-13

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

  • harris
    说明:  harris角点检测的改进,高斯函数滤波,性能强筋。(Harris corner detection improvement,Gaussian function filtering, performance is strong muscle.)
    2011-04-08 17:27:31下载
    积分:1
  • SVD-Face-Illuminatio
    svd去光照文章,效果不错......................(svd de illumination parper。。。。。。。。。)
    2015-01-14 13:04:26下载
    积分:1
  • Matlab
    Gauss Seidel 解数学矩阵方程 Bisection 解1元高次方程 Newton Method 解高次方程 Taylor series 泰勒公式求方程近似解(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations.)
    2011-12-20 00:42:19下载
    积分:1
  • project5_4main
    基于matlab软件的伦琴衰落信道模块代码 输入打开即可使用(Based on MATLAB software Roentgen fading channel input module code can use to open)
    2013-05-13 16:32:03下载
    积分:1
  • swnet
    复杂网络小世界模型,模拟小世界模型 复杂网络小世界模型,模拟小世界模型(he parameter of the small-world model The total number of the network The mean degree is 2*m The remove probability The connection matrix The initial regular network)
    2013-12-24 17:11:52下载
    积分:1
  • duotongdao
    多通道欠采样频率测量程序 可以用多通道解模糊测量(duotongdaov.m)
    2010-08-13 22:41:16下载
    积分:1
  • autofam
    autofam autofam 循环谱autofam 循环谱autofam 循环谱(autofam autofam cyclic spectrum autofam cyclic spectrum autofam cyclic spectrum)
    2011-05-13 11:34:08下载
    积分:1
  • KNN
    小小的最近邻算法,希望能够对大家有所帮助(Tiny nearest neighbor algorithm , hoping to be helpful to everyone)
    2014-11-27 16:17:33下载
    积分:1
  • matlab-powerflow-practice
    some use full matlab code for student who start learning Powerflow-analysis by matlab , it contain - PDF tutorial for starter - .m solution file for tutorial assignment -.m powerflow analysis program using newton-rapson method
    2012-10-27 17:28:49下载
    积分:1
  • jitterbug-1.23
    JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG,我们能得到延时、数据丢失对系统的性能影响。同时,这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)
    2012-01-08 21:18:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载