Pinned Repositories
control-and-system-book
textbook about control, robotics, system
DDRTC-of-UMSs
This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of nonlinear underactuated mechanical systems (UMS). The method leverages the differential flatness property of linearized systems and online estimation and compensation of disturbances by active disturbance rejection control (ADRC). The differentially flat output is derived directly from measured data with unknown dynamics and parameters of UMS by the flat output identification (FOID) algorithm. A reduced nominal model of UMS is proposed to simplify the process of finding flat output and trajectory planning. Technique of sparse regression is applied to identify the relationships between flat output and system states, which reduces the order of the well-known extended state observer (ESO) and thereby make the ESO more effective for both trajectory planning and tracking in terms …
Django-Stu
基于python的Django框架学生信息管理系统
euler-lagrange-routine
Event-triggered-controller
simple example for Event-triggered control for network controlled system
Machine-Learning-Session
r-theta-manipulator
Control of a Non-Linear 2 DOF Manipulator
resource_aware_control_rl
robot-manipulator-dynamics
Matlab scripts to compute Euler-Lagrange dynamic models of a large number of robot manipulators.
TAC16
A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61, no. 10, pp. 3221–3226, 2016.
liuyuan0123's Repositories
liuyuan0123/ACC_Vehicle_MPC
Model Predictive Control of Adaptive Cruise Control Vehicles.
liuyuan0123/dscTutorials
A few simple tutorials for dynamical systems and control. Most require Matlab.
liuyuan0123/event_triggered_attitude_control
Code to implement the nonlinear, saturating attitude controller for a quadcopter, together with three optional triggering strategies
liuyuan0123/Introduction-to-Communication
Transmitter and receiver design over acoustic channel
liuyuan0123/NumericalExamplesPGGRDPS
Numerical examples discussed in the book "A Practical Guide to Geometric Regulation for Distributed Parameter Systems"
liuyuan0123/Penalty-Method
Matlab code to reproduce the experiments presented in "A penalty method for PDE-constrained optimization in inverse problems" by T. van Leeuwen and F.J .Herrmann
liuyuan0123/Q-Learning-SARSA-Policy-and-Value-Iteration
Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs (GridWorld, SmallWorld and CliffWorld)