Functions for visualization and analysis of dynamic systems.
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Updated
Aug 23, 2016 - Python
Functions for visualization and analysis of dynamic systems.
Descent into Chaos: An Exploration of Two Dynamical Systems
Particle Filter Implementation to find the Kidnapped Vehicle
Implementation of PID Controller to drive the autonomous vehicle
Implementation of Model Predictive Control to control steering angle and throttle acceleration
Here, I include my thoughts about how does the brain of the worm give rise to remarkable behavioral plasticities
Python library for creating systems with dynamic feedback mechanisms
Granger Causality with Signal-dependent Noise
Permutations can be considered as the orbits of a dynamic system p' = succ(p), where p is a permutation and p' is its successor in the lexycographically ordered set of permutations (plus the Nil permutation, whose successor is Nil). Here I present a function that produces those orbits as well as a number of "permutation numbers" derived from tho…
some matlab work and plotting stuff
Half car model simulation. Done using MATLAB and GSL with a script to compare the results of two simulation methods.
Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning
Modelling crowd behaviour in panic sitations
ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations
An Animation-Interpolator, "reverse-engineered" from facebook/rebound
Repository with MIMO data-driven modeling algorithms
Solving a dynamic system by solving its differential and algebraic equations ... 2 approaches are used to solve algebraic equation first and differential next is Partitioned approach, Simultaneous solving is also done. The jacobian matrix of the equation tells much about the state of the system.
Critério de Jury para verificar estabilidade em python. Jury stability criterion implemented in python.
Repository for the Dynamic Systems Modeling course at UFMG.
Master's thesis 2020: On the Combination of Symbolic Dynamics and Dynamic Programming for Dynamic Systems
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