Implementing trajectory optimization on bipedal system
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Updated
Nov 4, 2021 - Python
Implementing trajectory optimization on bipedal system
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
Python implementation of non-linear 6DOF GARTEUR RCAM aircraft flight dynamics model
Library to conduct experiments in population dynamics.
Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547
Next-generation non-linear and collapse prediction models for short to long period systems via machine learning methods
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.
The best thing to happen to the logistic map since maps were invented
A library for encryption and decryption using a triple-pendulum based chaos generator
A Comparison of Numerical Algorithms in Applied Physics Simulations
Non Linear Dynamics and Chaos (Analysis of 3D Lorenz System)
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