zhulinche Goto Github PK
Name: Sihaitangzhu
Type: User
Name: Sihaitangzhu
Type: User
ACD project
paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"
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.
Code for active fault-tolerant control design from TIE19 paper
ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
Implementation of Attitude Optimal Backstepping Controller for UAV
Lyapunov based controller design for trajectory tracking of an under-actuated autonomous underwater vehicle(AUV)
Addressing the combined problem of trajectory planning and tracking control for under-actuated autonomous underwater vehicle (AUV).
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Plot line(s) with error bounds/confidence intervals/etc. in Matlab
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
"Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. Li and K. Sreenath https://arxiv.org/pdf/2103.12375.pdf
GB/T 7714相关的csl以及Zotero使用技巧及教程。
code for paper Event-Triggered Impulsive Control for Nonlinear Stochastic Systems
Consensus-based Control of Multiple Fixed-wing UAVs Using Distributed Model Predictive Control
ROS package for AI-based controllers for UAVs
easy and short implementations of the thing in the title
Codebase for two projects, one on the Consensus Algorithm in multi agent systems and another on State Variable Feedback control in multiagent systems
Simulation files for the manuscript "A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design"
Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.
Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems, Automatica, Volume 45, Issue 12, 2009
This repository contains MATLAB codes for distributed anti-flocking algorithms described in TII 2016 paper.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.