This code studies a linearized PF model through a data-driven approach.
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Updated
Mar 2, 2023 - MATLAB
This code studies a linearized PF model through a data-driven approach.
Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8
DuckDB Extension Linearization/Delinearization, Z-Order, Hilbert and Morton Curves
Interface between ControlSystems and ModelingToolkit
Cooperative multiple inheritance for CoffeeScript, à-la Python. http://sinusoid.es/heterarchy/
Files related to my Summer of Science Report on Nonlinear Dynamics
Zero + is a Gomoku AI that implements threat space search, minimax with alpha beta pruning optimized with Zobrist and linear sequence cache, Principal Variation Search, and Monte Carlo Tree Search.
Repository for AUV Control Optimisation using LQR Project with ECA Group
Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
Strongly consistent distributed key-value store
Simple Go bindings for qpdf C / C++ API; mostly for linearization.
Feedback linearization for quadrotors
Functions and guide to use automatic differentiation for material modelling in deal.II on the element and QP level
Adaptive linearization of bezier curves / SVG paths
This is a library with different sub-libraries to provide basic functions, which can be used in data and signal processing and to compare measurement results against simulation.
Repository to design and implement LQR control on an AUV by ECA-Group
A/B testing statistics, design, increasing sensitivity, multiple experiments comparison, traffic splitting and full A/B testing pipeline in Python
a quadratic linealization example, using python-mip library and coinOR solver
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