An online learning analysis of minimax adaptive control
V Renganathan, A Iannelli… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
We present an online learning analysis of minimax adaptive control for the case where the
uncertainty includes a finite set of linear dynamical systems. Precisely, for each system …
uncertainty includes a finite set of linear dynamical systems. Precisely, for each system …
Online linear quadratic tracking with regret guarantees
A Karapetyan, D Bolliger, A Tsiamis… - IEEE Control …, 2023 - ieeexplore.ieee.org
Online learning algorithms for dynamical systems provide finite time guarantees for control
in the presence of sequentially revealed cost functions. We pose the classical linear …
in the presence of sequentially revealed cost functions. We pose the classical linear …
Online convex optimization for robust control of constrained dynamical systems
This article investigates the problem of controlling linear time-invariant systems subject to
time-varying and a priori unknown cost functions, state and input constraints, and …
time-varying and a priori unknown cost functions, state and input constraints, and …
Online convex optimization for constrained control of nonlinear systems
This paper investigates the problem of controlling nonlinear dynamical systems subject to
state and input constraints while minimizing time-varying and a priori unknown cost …
state and input constraints while minimizing time-varying and a priori unknown cost …
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances
TJ Chang, S Shahrampour - arXiv preprint arXiv:2310.03206, 2023 - arxiv.org
This paper addresses the distributed online control problem over a network of linear time-
invariant (LTI) systems (with possibly unknown dynamics) in the presence of adversarial …
invariant (LTI) systems (with possibly unknown dynamics) in the presence of adversarial …
On the performance of memory-augmented controllers
FA Yaghmaie, H Modares… - 2024 European Control …, 2024 - ieeexplore.ieee.org
Recently, online convex optimization techniques have been utilized to develop online
algorithms for controlling linear systems under adversarial disturbances [1]–[3]. This …
algorithms for controlling linear systems under adversarial disturbances [1]–[3]. This …
On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty
Continuous-time adaptive controllers for systems with a matched uncertainty often comprise
an online parameter estimator and a corresponding parameterized controller to cancel the …
an online parameter estimator and a corresponding parameterized controller to cancel the …