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Jared Miller's Projects

chance_peak icon chance_peak

Probabilistic peak estimation: At each point in time, the probability that a state function will exceed a solved threshold has probability <epsilon. Based on the theory of value-at-risk approximations.

crash-safety icon crash-safety

Quantify the safety of trajectories by the peak-minimizing optimal control cost needed to crash into the unsafe set

data_driven_pos icon data_driven_pos

Data-driven stabilization of positive linear systems. Full-state feedback and Linf sample noise by default.

distance icon distance

Estimate the distance of closest approach to an unsafe set

eiv_arx icon eiv_arx

Data-Driven Control of ARX models as corrupted by Linfinity-bounded Error in Variables

eiv_quad icon eiv_quad

Error-in-variables control of quadratically-bounded noise processes. Application include data-driven Gaussian superstabilizing control.

error_in_variables icon error_in_variables

Data-driven stabilization and robust control of linear systems corrupted by error in variables

gloptipoly3_mod icon gloptipoly3_mod

A fork of gloptipoly3 (https://homepages.laas.fr/henrion/software/gloptipoly/: Didier Henrion, Jean-Bernard Lasserre and Johan Loefberg.)

inverse_optimal icon inverse_optimal

Find the distance of a test point/trajectory to the set of global optima generated by a basis of cost functions

jarmill_site icon jarmill_site

A beautiful, simple, clean, and responsive Jekyll theme for academics

lpv_qmi icon lpv_qmi

Data-Driven Control of Linear Parameter Varying (LPV) systems under Process Noise with Quadratic Matrix Inequalities (QMI)

mansi icon mansi

Multiresolution Atomic Norm System Identification

meas_class icon meas_class

Class based implementation for measure (gloptipoly) management

mimobb icon mimobb

MIMO system identification by active set methods

peak icon peak

Estimate the peak of a function across all trajectories. Based on occupation measures, results in a hierarchy of SDPs. Assumes dynamics and objective are polynomial, and semialgebriac regions.

peak_attractor icon peak_attractor

Estimate the peak of a a function p(x) on an attractor of a dynamical system. Based on the work of https://arxiv.org/pdf/2005.03346.pdf, of which code is available at http://homepages.laas.fr/mkorda/Attractor.zip

prob_unsafe icon prob_unsafe

Bound the probability of ending up in the unsafe set using occupation measures. Applied to stochastic process systems (SDE).

qcopters icon qcopters

Reinforcement (Q) learning agent that learns to play SwingCopters. Final Project for AI (NU 4100)

sedumi icon sedumi

SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

sievesdp icon sievesdp

Sieve-SDP: A simple facial reduction algorithm to preprocess semidefinite programs

sparsedynamicsystem icon sparsedynamicsystem

SparseDynamicSystem computes region of attraction (ROA), maximum positively invariant set (MPI), global attractor (GA) for polynomial dynamic systems based on the sparsity adapted moment-SOS hierarchies.

stride icon stride

Solver for Large-Scale Rank-One Semidefinite Relaxations

timedelay icon timedelay

Analysis and control of time delayed systems with occupation measures.

tssos icon tssos

A sparse polynomial optimization tool based on (quasi) block Moment-SOS hierarchies.

wavelet icon wavelet

test implementation of wavelets in python

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