Position:

Deputy of department
Lecturer

Department:

Department of Information Engineering and Process Control (DIEPC)

Room:

NB 695

eMail:

Home page:

https://www.uiam.sk/~paulen

Phone:

+421 259 325 730

Skype:

radopaulen

ORCID iD:

0000-0002-1599-2634

WoS ResearcherID:

L-7817-2016

Google Scholar:

JBx2SewAAAAJ

Research activities:

The research group of Dr. Paulen concentrates on research in estimation and optimal control of nonlinear dynamic systems with applications in chemical and biochemical processes.The main research topics include:

• guaranteed and statistical system identification and parameter/state estimation
• dynamic optimization, global optimization, predictive control
  

Availability:

---

Unavailable:

From 01.06.2024 To 06.06.2024

Work calendar

The research group of Dr. Paulen concentrates on research in estimation and optimal control of nonlinear dynamic systems with applications in chemical and biochemical processes.

Topics

• guaranteed and statistical system identification and parameter/state estimation
• dynamic optimization, global optimization, predictive control

All the presentation slides from the past conference talks are retrievable as appendices of the corresponding publications here.

Video presentations from virtual conferences:

• 22nd IFAC World Congress 2023
• Design of Multi-Model Linear Inferential Sensors with SVM-Based Switching Logic (in cooperation with Slovnaft a.s.) Video Paper
  
• 16th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2021
• Set-membership Estimation using Ellipsoidal Ensembles (in cooperation with ShanghaiTech University) Video Paper   
  
• 31st European Symposium on Computer Aided Process Engineering (ESCAPE 31)
• Data-based Industrial Soft-sensor Design via Optimal Subset Selection (in cooperation with Slovnaft a.s.) Video Paper
  
• 23rd International Conference on Process Control 2021 (PC 21)
• Data Treatment of Industrial Measurements: From Online to Inferential Sensors (in cooperation with Slovnaft a.s.) Video
  
• 21st IFAC World Congress 2020
• Nested Sampling Approach to Set-membership Estimation, 21st IFAC World Congress (in cooperation with Imperial College London) Video Paper
  
• Set-Based State Estimation: A Polytopic Approach, 21st IFAC World Congress (in cooperation with ShanghaiTech University) Video Paper
• Dual multi-stage NMPC using sigma point principles, 21st IFAC World Congress (in cooperation with TU Dortmund) Video Paper
  
• Experimental Real Time Optimization of a Continuous Membrane Separation Plant, 21st IFAC World Congress (in cooperation with TU Dortmund) Video Paper
• 30th European Symposium on Computer Aided Process Engineering (ESCAPE 30)
• Advanced Process Control of an Industrial Depropanizer Column using Data-based Inferential Sensors, 30th European Symposium on Computer Aided Process Engineering (in cooperation with Slovnaft a.s.) Video Paper
  
• Nested Sampling Strategy for Bayesian Design Space Characterization, 30th European Symposium on Computer Aided Process Engineering (in cooperation with Imperial College London) Video Paper
  
• 2020 European Control Conference
• Adaptive multi-stage NMPC using sigma point principles, 2020 European Control Conference (in cooperation with TU Dortmund) Video Paper

Research Team

Active members:

• Rastislav Fáber
• (hybrid modelling)
• (monitoring of stored grain) thesis
• Rudolf Trautenberger (optimal experiment design)
  
• Matej Ružička (modeling of forward osmosis)
• Martin Bíreš (modeling of an alkylation process)
• Jakub Gaborčík (modeling of membrane processes)
  

Former members:

• Dr. Martin Mojto (design of inferential sensors) PhD thesis
  
• Carlos Eduardo Valero (guaranteed state estimation and set-based control) Mini thesis
  
• Petra Valiauga (guaranteed parameter estimation)
  
• Daniel Boroš (bi-level optimization) MSc thesis
  
• Lukáš Šatura (modeling of membrane processes) BSc thesis
  
• Mikuláš Smetana (modeling of membrane processes)
• Darko Križan (design of inferential sensors) MSc thesis
  
• Matej Kintler (hybrid modeling, guaranteed identification) MSc thesis
  
• Michal Mateáš (optimal experiment design) MSc thesis
  
• Martin Gömöry (modeling and optimization of membrane processes) MSc thesis
• Martina Bujdáková (system identification) MSc thesis
  
• Tímea Mészárosová (modeling of chemical processes)
• MSc thesis
  
• BSc thesis
• Zuzana Mošková (data-based modeling) MSc thesis
  
• Kateryna Kruhliak (modeling and simulation of chemical processes) BSc thesis
  
  

Collaborations

• Prof. Benoit Chachuat, Imperial College London, United Kingdom – guaranteed estimation
• Prof. Sebastian Engell, M.Sc. TU Dortmund University, Germany – model-based optimizing control
• Prof. Boris Houska, Dr. Mario Eduardo Villanueva, ShanghaiTech University, China – set-based estimation and control
• Prof. Zoltan Kovacs, Corvinus University Budapest, Hungary – membrane process control
• Prof. M.A. Latifi, ENSIC, University of Lorraine, France – control of polymerization reactors
  
• Prof. Sergio Lucia, TU Dortmund, Germany – advanced estimation and control
• Prof. Gabriele Pannocchia, University of Pisa, Italy – advanced estimation and control
  
• Prof. Mario Eduardo Villanueva, IMT School for Advanced Studies Lucca, Italy – set-based estimation and control
  

• Slovnaft, a.s.
• Continental Matador Rubber, s.r.o.
• Siemens Slovensko
• Schaeffler Slovensko