Optimal transport in systems and control
Optimal transport began as the problem of how to efficiently redistribute goods between
production and consumers and evolved into a far-reaching geometric variational framework …
production and consumers and evolved into a far-reaching geometric variational framework …
Stochastic control liaisons: Richard sinkhorn meets gaspard monge on a schrodinger bridge
In 1931--1932, Erwin Schrödinger studied a hot gas Gedankenexperiment (an instance of
large deviations of the empirical distribution). Schrödinger's problem represents an early …
large deviations of the empirical distribution). Schrödinger's problem represents an early …
Optimal steering of a linear stochastic system to a final probability distribution, Part I
We consider the problem of steering a linear dynamical system with complete state
observation from an initial Gaussian distribution in state-space to a final one with minimum …
observation from an initial Gaussian distribution in state-space to a final one with minimum …
Optimal covariance control for stochastic systems under chance constraints
This letter addresses the optimal covariance control problem for stochastic discrete-time
linear systems subject to chance constraints. To the best of our knowledge, covariance …
linear systems subject to chance constraints. To the best of our knowledge, covariance …
Wasserstein proximal algorithms for the Schrödinger bridge problem: Density control with nonlinear drift
KF Caluya, A Halder - IEEE Transactions on Automatic Control, 2021 - ieeexplore.ieee.org
In this article, we study the Schrödinger bridge problem (SBP) with nonlinear prior dynamics.
In control-theoretic language, this is a problem of minimum effort steering of a given joint …
In control-theoretic language, this is a problem of minimum effort steering of a given joint …
Finite-horizon covariance control for discrete-time stochastic linear systems subject to input constraints
E Bakolas - Automatica, 2018 - Elsevier
This work deals with a finite-horizon covariance control problem for discrete-time, stochastic
linear systems with complete state information subject to input constraints. First, we present …
linear systems with complete state information subject to input constraints. First, we present …
Optimal covariance control for discrete-time stochastic linear systems subject to constraints
E Bakolas - 2016 IEEE 55th Conference on Decision and …, 2016 - ieeexplore.ieee.org
This work deals with an optimal covariance control problem for stochastic discrete-time
linear systems subject to mean sum constraints involving quadratic functions of the state and …
linear systems subject to mean sum constraints involving quadratic functions of the state and …
Finite-horizon covariance control of linear time-varying systems
We consider the problem of finite-horizon optimal control of a discrete linear time-varying
system subject to a stochastic disturbance and fully observable state. The initial state of the …
system subject to a stochastic disturbance and fully observable state. The initial state of the …
Reflected Schrödinger bridge: Density control with path constraints
KF Caluya, A Halder - 2021 American Control Conference …, 2021 - ieeexplore.ieee.org
How to steer a given joint state probability density function to another over finite horizon
subject to a controlled stochastic dynamics with hard state (sample path) constraints? In …
subject to a controlled stochastic dynamics with hard state (sample path) constraints? In …
Chance constrained covariance control for linear stochastic systems with output feedback
We consider the problem of steering, via out-put feedback, the state distribution of a discrete-
time, linear stochastic system from an initial Gaussian distribution to a terminal Gaussian …
time, linear stochastic system from an initial Gaussian distribution to a terminal Gaussian …