girgirya / https---girishc-gitlab.engr.illinois.edu-girishc-adaptive-controlLinks
Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC
☆21Updated 8 years ago
Alternatives and similar repositories for https---girishc-gitlab.engr.illinois.edu-girishc-adaptive-control
Users that are interested in https---girishc-gitlab.engr.illinois.edu-girishc-adaptive-control are comparing it to the libraries listed below
Sorting:
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆46Updated 4 years ago
- Research on autonomous gait learning of a snake robot, involving Gaussian process regression(GPR) and model predictive control(MPC).☆2Updated 2 years ago
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆20Updated last year
- Matlab Code base for T-RO 20 paper on robust Control Barrier Functions (CBFs) with Gaussian Process Regression for estimating the disturb…☆16Updated 3 years ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆23Updated 3 years ago
- ☆30Updated 4 years ago
- Code for robust tube MPC simulation☆19Updated 6 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆47Updated 6 years ago
- A model predictive control (MPC) design and implementation for a quadrotor balancing an inverted pendulum. Includes a stability analysis …☆39Updated 3 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆31Updated 3 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆24Updated 3 years ago
- DisturbanceObserver NonlinearDisturbanceObserver☆19Updated 6 years ago
- ☆10Updated 7 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- ☆16Updated last year
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆13Updated 8 months ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated 2 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆27Updated last year
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- model error compensator (matlab codes of journal article) robust control☆12Updated 2 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆22Updated 3 years ago
- Learning-based robust tube based MPC of nonlinear systems via difference of convex radial basis functions☆13Updated 11 months ago
- The reproduction of tube-based MPC for nonlinear systems☆47Updated last year
- Code to reproduce results in peer-reviewed publications☆20Updated 4 months ago
- University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has bee …☆20Updated 4 years ago
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆36Updated 5 years ago
- Re-Implementation of paper "Active attitude fault-tolerant tracking control of flexible spacecraft via the Chebyshev neural Network"☆14Updated 3 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆22Updated 9 months ago