Derivation of the equations of motion and simulation for the acrobot, an under-actuated double pendulum robot.
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A few Matlab functions for creating and evaluating bezier curves.
(6 stars) (3 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Tutorial for event detection in Matlab - simulation of ball bouncing over hilly terrain.
(9 stars) (4 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Matlab implementation of the Bulirsch-Stoer method for solving initial value problems.
(2 stars) (3 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Tutorial for Chebyshev orthogonal polynomials, written in Matlab. Strongly inspired by the chebfun project.
(5 stars) (2 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Derivation and implementation of continuous-time finite-horizon Linear Quadratic Regulator
(27 stars) (19 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Trajectory Optimization in Matlab, specialized for problems with higher-derivatives (eg. jerk or snap) and / or implicit dynamics.
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Matlab code for playing with the driven-damped-pendulum fractal
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Computes gradient of f(x) = A(x) \ b(x) in Matlab.
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Exponential smoothing for simple functions: max(), clamp(), abs(), ramp()...
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Trajectory optimization to match fluence profiles.
(4 stars) (4 forks) (2 件の索引済み issue) (2 件のオープンな good first issue)
A basic introduction to Matlab, guided towards simulation and analysis of dynamical systems
(31 stars) (16 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
(17 stars) (6 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Tutorial: derive equations of motion for mechanical systems using Lagrange equations
(9 stars) (3 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Creates a Markov Decision Process model of a pendulum, then finds optimal swing-up policy.
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The course website for 'Optimal Control for Robotics', which I taught at Tufts University in Spring 2018
(56 stars) (22 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
An tutorial the goes over real-time animation in Matlab, as well as saving video files. Some advanced topics are covered as well.
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A trajectory optimization library for Matlab
(704 stars) (219 forks) (12 件の索引済み issue) (12 件のオープンな good first issue)
Matlab implementation of particle swarm optimization. Well documented with examples.
(96 stars) (33 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Derivation of a few different polynomial splines using the Matlab symbolic toolbox. Also includes interpolation and fitting routines.
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