61 citations · 63 across the 8 of their papers we have counts for
9 papers
Memory-Dependent Interval Markov Chain Abstractions of Stochastic Dynamics
Menno van Zutphen, Adrien Banse, Domagoj Herceg +2
Finite-state interval Markov-chain (IMC) abstractions provide sound verification and performance bounds for continuous-state stochastic systems by enclosing cell-to-cell transition…
PAC-Bayesian Certificates for Quadratic Closed-Loop Control
Domagoj Herceg
PAC-Bayesian bounds provide finite-sample guarantees for data-dependent randomized predictors, but applying them to learning-based control is difficult because the natural objectiv…
Distributionally Robust PAC-Bayesian Control
Domagoj Herceg, Duarte Antunes
We present a distributionally robust PAC-Bayesian framework for certifying the performance of learning-based finite-horizon controllers. While existing PAC-Bayes control literature…
Tempering the Bayes Filter towards Improved Model-Based Estimation
Menno van Zutphen, Domagoj Herceg, Giannis Delimpaltadakis +1
Model-based filtering is often carried out while subject to an imperfect model, as learning partially-observable stochastic systems remains a challenge. Recent work on Bayesian inf…
A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions
Domagoj Herceg, Marco DellOro, Riccardo Bertollo +5
This paper presents a scenario-based model predictive control (MPC) scheme designed to control an evolving pandemic via non-pharmaceutical intervention (NPIs). The proposed approac…
Beyond KL-divergence: Risk Aware Control Through Cross Entropy and Adversarial Entropy Regularization
Menno van Zutphen, Domagoj Herceg, Duarte J. Antunes
While the idea of robust dynamic programming (DP) is compelling for systems affected by uncertainty, addressing worst-case disturbances generally results in excessive conservatism.…
Risk-averse model predictive control
Pantelis Sopasakis, Domagoj Herceg, Alberto Bemporad +1
Risk-averse model predictive control (MPC) offers a control framework that allows one to account for ambiguity in the knowledge of the underlying probability distribution and unifi…
Modeling and administration scheduling of fractional-order pharmacokinetic systems
Domagoj Herceg, Sotiris Ntouskas, Pantelis Sopasakis +4
Fractional-order dynamical systems were recently introduced in the field of pharmacokinetics where they proved powerful tools for modeling the absorption, disposition, distribution…
Stochastic economic model predictive control for Markovian switching systems
Pantelis Sopasakis, Domagoj Herceg, Panagiotis Patrinos +1
The optimization of process economics within the model predictive control (MPC) formulation has given rise to a new control paradigm known as economic MPC (EMPC). Several authors h…