Control of Large Intervention AUV using Incremental Non-Linear Dynamic Inversion

Autonomous flight test of a 200kg multirotor VTOL

establishing a seamless connection between MATLAB Simulink and MSC Adams, enabling effective collaboration between these two powerful engineering simulation tools.

"4D TRAJECTORY GENERATION FOR GUIDANCE MODULE OF A UAV FOR A GATE TO GATE FLIGHT IN PRESENCE OF TURBULENCE", International Journal of Advanced Robotic Systems, 2016, DOI: 10.5772/64063. publication…

This is a simulation for robot planning task based on potential path planning algorithm under wind disturbance.

Optimal Design of Anchoring Systems for Autonomous Tethered Robots

Training scripts, training data, and experimental data for Neural Fly

We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approxim…

OpenConcept: A toolkit for conceptual MDAO of aircraft with unconventional propulsion architectures

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.

A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to external disturbances, such as road surface, weather, wind co…

Payload Stabilization for single UAV-payload with initial position/angular disturbance

Implementation of a genetic algorithm to determine the parameters of the PID, PI-D, I-PD and PIDA controllers in order to compensate various benchmark processes, which are representative of many in…

we introduce a new framework for running the finite element (FE) packages inside an online Loop together with MATLAB. Contrary to the Hardware-in-the-Loop techniques (HiL), in the proposed Software…

Quasi-steady aerodynamics and control for flapping wing UAV on a Lie group

AirSim with multirotor ground effect plug-in

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

Applied Deep Learning Course

A library of fortran modules and routines for scientific calculations (*in a way* just like scipy for python)

This is the project work related to the modelling of Frequency and associated parameters using Machine Learning.

Adaptive Mesh Refinement (AMR) technique utilized with the Lattice-Boltzmann Method (LBM) for numerical simulation of multiphase flows. OpenMP is used for parallelization of the code on share-memor…

A Python package for performing pore network modeling of porous media

PINN for obtaining WSS from sparse data

A curated list of resources on FEM for CFD

Computational Fluid Dynamics in JAX