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adrc-matlab

adrc_control

C code with ADRC controler for a magnetic levitation system based on DELFINO TMS320F28335 microcontroller

adrc_quadrotor

ADRC uses an Extended state observer to linearize the Quadrotor's Nonlinear dynamics (similar to Feedback linearization). This makes it capable of eliminating disturbances (robustness).

ads_fdd_turbulence

Air Data Sensor fault detection and diagnosis in the presence of atmospheric turbulence

advanced-dr

Advanced demand response algorithms to control residential loads, with focus on Thermostatically-Controlled-Loads (TCLs)

advanced-metaheuristics-lsgo

This repo contains my Computer Engineering Degree's Final Project, studied at the University of Granada, Spain. The main focus is to apply state-of-the-art metaheuristic algorithms into a Big Optimization problem with thousands of variables. Our task is to find out how accurate are theoretical benchmark results compared to real EEG (Electroencephalography) data

aemq

Autonomous Environment Mapping Quadrotor

aerialrobotics

Jump Point Search, Safe Flight Corridors, Quadratic Programming, quadrotor

aerotracker

Source code for autonomous vision based tracking of a target using a quadcopter

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.

aftc_attitude_control

Code for active fault-tolerant control design from TIE19 paper

aggressive-maneuvers-of-the-quadrotor

agil-mpc

agv_dijkstra

仓储多AGV背景下，基于dijkstra算法，实现路径规划和两车避让

ahrs

Attitude and Heading Reference System using MATLAB as simple as possible

ahrs_filter

The new filter with comparism to the well-known methods

aiaa_gnc_2021

Code accompanying the paper Hovell, K., Ulrich, S., and Bronz, M., “Acceleration-based Quadrotor Guidance Under Time Delays Using Deep Reinforcement Learning,” AIAA Guidance, Navigation, and Control Conference, Nashville, TN, 11-21 Jan, 2021.

airqualitydetecting

基于Qt5空气质量数据采集系统

altitudeestimation

A two-step Kalman/Complementary filter for Estimation of Vertical Position using an IMU-Barometer sytem

amd-code

amr-lmpcc

anc-lstm-fault-detection

Here are the source code, pretrained models and dataset for paper "Soft Manipulator Fault Detection and Identification Using ANC-based LSTM"

angular_ui

ann-mpc

A Feed-Forward ANN based on MPC for a Three-Phase Inverter With an Output LC Filter

ann_rgbdslamv2

read rgbdslamv2

anova-mop_code

ANOVAMOP: An interactive/non-interactive surrogate-based method for solving high-dimensional computationally expensive multiobjective optimization problems

aorc

A set of lego EV3 drivers for hitechnic gyroscope, accelerometer, motors, and wheel encoders used to balance a wheeled inverted pendulum using Active Distu

apdob

APDOB - Adaptive Periodic-Disturbance Observer

apg--stochastic-optimal-control

This repository contains the APG algorithm for stochastic MPC problem

approx-pf

Approximate linear solution of power flow equations in power distribution networks