comkieffer / ThesisLinks
Data-driven attitude control design for multirotor UAVs
☆20Updated 8 years ago
Alternatives and similar repositories for Thesis
Users that are interested in Thesis are comparing it to the libraries listed below
Sorting:
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆24Updated 2 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆33Updated 4 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆27Updated 4 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆25Updated 2 years ago
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆13Updated 3 months ago
- A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61,…☆41Updated 8 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆21Updated 4 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆56Updated 7 years ago
- MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS☆43Updated last year
- a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The pl…☆71Updated 5 years ago
- Linear Model Predictive Control (MPC) with quadratic programming (QP) and state space model☆27Updated 6 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆15Updated last year
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆28Updated 4 years ago
- course project: a simple implementation of Q learning and MPC☆18Updated 4 years ago
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆13Updated last year
- Data-Driven Predictive Control☆80Updated last year
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 5 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆60Updated 3 years ago
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…☆13Updated 3 years ago
- Code for active fault-tolerant control design from TIE19 paper☆40Updated 5 years ago
- ☆25Updated last year
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆39Updated 5 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Updated 6 years ago
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆16Updated 4 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- ☆17Updated 4 years ago