activity
20192021
most citedBayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy

50 citations · 79 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Data-based Design of Inferential Sensors for Petrochemical Industry

Martin Mojto, Karol Ľubušký, Miroslav Fikar +1

Inferential (or soft) sensors are used in industry to infer the values of imprecisely and rarely measured (or completely unmeasured) variables from variables measured online (e.g.,…

eess.SY202021 cited

Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties

Sankaranarayanan Subramanian, Sergio Lucia, Radoslav Paulen +1

The trade-off between optimality and complexity has been one of the most important challenges in the field of robust Model Predictive Control (MPC). To address the challenge, we pr…

stat.ME2020

Robust multi-stage model-based design of optimal experiments for nonlinear estimation

Anwesh Reddy Gottu Mukkula, Michal Mateáš, Miroslav Fikar +1

We study approaches to robust model-based design of experiments in the context of maximum-likelihood estimation. These approaches provide robustification of model-based methodologi…

math.OC202050 cited

Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy

Kennedy P. Kusumo, Lucian Gomoescu, Radoslav Paulen +4

Quality by design in pharmaceutical manufacturing hinges on computational methods and tools that are capable of accurate quantitative prediction of the design space. This paper inv…

eess.SY20197 cited

Dynamic Real-time Optimization of Batch Processes using Pontryagin's Minimum Principle and Set-membership Adaptation

Radoslav Paulen, Miroslav Fikar

This paper studies a dynamic real-time optimization in the context of model-based time-optimal operation of batch processes under parametric model mismatch. In order to tackle the…

eess.SY20191 cited

Dual-control based approach to batch process operation under uncertainty based on optimality-conditions parameterization

Radoslav Paulen, Miroslav Fikar

This paper presents a scheme for dual robust control of batch processes under parametric uncertainty. The dual-control paradigm arises in the context of adaptive control. A trade-o…