Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
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Updated
May 26, 2024 - Julia
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
Codigo Fortran que implementa el metodo de Benettin para realizar el calculo de los exponentes de Lyapunov y posteriormente seleccionando un parámetrodell modelo realizar un espectro de los Exponentes de Lyapunov.
Fractal images with Python
Tools for the exploration of chaos and nonlinear dynamics
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…
LATEX report of my literature study into stable variable impedance learning.
A Python package to simulate and measure chaotic dynamical systems.
Configurable ODE/PDE solver
A cutting-plane method to synthesize Lyapunov functions for neural network uncertain systems.
LQG controller to control the dual pendulum cart
Fortran90 examples of Dynamic Systems
This my master's degree graduation thesis, it's about DC motor speed control using the sliding mode method, the motor it's controlled based on three models which are cascade and reduced, and complete model. the method has proved that it's robust against dc motor parameters changing and able to track a reference speed.
Evaluate the Lyapunov Spectrum of a dynamical system described by ODEs (in Python)
Nonlinear dynamical systems simulations using Julia with Matlab interoperability
Lyapunov based controller design for trajectory tracking of an under-actuated autonomous underwater vehicle(AUV)
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