stl18800187610

stl18800187610's Stars

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python24.1k5153566.6k

• jackzhenguo/python-small-examples

  告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

  Language:Python8k294151.8k

• guofei9987/scikit-opt

  Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

  Language:Python5.4k48180997

• DroidAITech/ROS-Academy-for-Beginners

  **大学MOOC《机器人操作系统入门》课程代码示例

  Language:CMake2.3k82143780

• wanzhenchn/EndNote_Tutorial_Hand_by_Hand

  手把手教你使用 EndNote X9/NoteExpress

  1.2k293222

• huchunxu/ros_exploring

  《ROS机器人开发实践》源码

  Language:Python9903240563

• lugh56/control-and-system-book

  textbook about control, robotics, system

  567310199

• yangmingustb/planning_books_1

  记录：规划，决策，机器学习，编程的书籍

  461121191

• Gongyihang/Motion-Planning

  Books and Papers（mostly about UAV and CPP problem）

  1756051

• paulQuei/a-star-algorithm

  Source code for article https://paul.pub/a-star-algorithm

  Language:Python1725071

• xuelang-wang/Paper-code-implementation

  Thesis retrieval

  Language:MATLAB865232

• NezaRIP/carsim-simulink-MPC-controller-practice

  Including the simulink model and the MPC-Controller code. Carsim vesion 8.02, Matlab version 2018b.

  Language:MATLAB842012

• korken89/Comparison-of-UKF-CKF-EKF

  Language:Matlab615033

• attaoveisi/AFISMC

  a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The plant under study is subjected to a square-integrable disturbance and is assumed to have mismatch uncertainties both in state- and input-matrices. In addition, a norm-bounded time varying term is introduced to address the possible existence of un-modelled/nonlinear dynamics. Based on the classical sliding mode controller (SMC), the equivalent control effort is obtained to satisfy the sufficient requirement of SMC and then the control law is modified to guarantee the reachability of the system trajectory to the sliding manifold. The sliding surface is compensated based on the observed states in the form of linear matrix inequality (LMI). In order to relax the norm-bounded constrains on the control law and solve the chattering problem of SMC, a fuzzy logic (FL) inference mechanism is combined with the controller. An adaptive law is then introduced to tune the parameters of the fuzzy system on-line. Finally, by aiming at evaluating the validity of the controller and the robust performance of the closed-loop system, the proposed regulator is implemented on a real-time mechanical vibrating system.

  Language:MATLAB603017

• liuboer/MOSEK-ADMM

  Code for Bi-level Convex Optimization of Eco-driving for Connected Fuel Cell Hybrid Electric Vehicles Through Signalized Intersections

  Language:MATLAB52216

• hungrepo/cooperative-path-following

  cooperative path following of multiple robots

  Language:MATLAB17116

• iman-sharifi-ghb/Trajectory-Tracking-of-8DoF-Tiltrotor-via-Fuzzy-Sliding-Mode-Control-with-Fuzzy-Identification

  Tiltrotor Control and System Identification using Fuzzy C-Means Clustering.

  Language:MATLAB10101

• lihongweiseu/RTHS_benchmark_SMC

  Matlab code for the paper "Sliding mode control design for the benchmark problem in real-time hybrid simulation"

  Language:MATLAB1201