activity
20142023
most citedApproximate Dynamic Programming For Linear Systems with State and Input Constraints

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2023

Blameless and Optimal Control under Prioritized Safety Constraints

Natalia Pavlasek, Sarah H. Q. Li, Behçet Açıkmeşe +2

In many resource-limited optimal control problems, multiple constraints may be enforced that are jointly infeasible due to external factors such as subsystem failures, unexpected d…

math.OC2021

Extremum Seeking Control with an Adaptive Gain Based On Gradient Estimation Error

Claus Danielson, Scott A. Bortoff, Ankush Chakrabarty

This paper presents an extremum seeking control algorithm with an adaptive step-size that adjusts the aggressiveness of the controller based on the quality of the gradient estimate…

eess.SY2019★ 2 cited

Approximate Dynamic Programming For Linear Systems with State and Input Constraints

Ankush Chakrabarty, Rien Quirynen, Claus Danielson +1

Enforcing state and input constraints during reinforcement learning (RL) in continuous state spaces is an open but crucial problem which remains a roadblock to using RL in safety-c…

eess.SY2017

Path Planning using Positive Invariant Sets

Claus Danielson, Avishai Weiss, Karl Berntorp +1

We present an algorithm for steering the output of a linear system from a feasible initial condition to a desired target position, while satisfying input constraints and non-convex…

math.OC2014

Optimality of certainty equivalence in expected value problems for uncertain linear systems

Frank Chuang, Claus Danielson, Francesco Borrelli

In this paper we study the optimality of the certainty equivalence approximation in robust finite-horizon optimization problems with expected cost. We provide an algorithm for dete…