Per Mattsson
Senior Lecturer/Associate Professor at Department of Information Technology; Division of Systems and Control
- Telephone:
- +46 18 471 31 68
- E-mail:
- per.mattsson@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 337
751 05 UPPSALA
Short presentation
Associate professor at the division of Systems and Control. Research interests include: data-driven control, system identification, reinforcement learning and predictive maintenance.

Publications
Recent publications
A Model Predictive Control Approach to Motion Planning in Dynamic Environments
Part of 2024 European Control Conference (ECC), p. 3247-3254, 2024
Soft sensor for the dry solid content in thickened primary sludge
Part of Water Science and Technology, p. 1946-1956, 2024
- DOI for Soft sensor for the dry solid content in thickened primary sludge
- Download full text (pdf) of Soft sensor for the dry solid content in thickened primary sludge
On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches
Part of IEEE Control Systems Letters, p. 796-801, 2024
Prediction of on-load tap-changer switch time from vibroacoustic measurements by machine learnings
p. 350-354, 2024
Entropy-regularized diffusion policy with Q-ensembles for offline reinforcement learning
Part of Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
All publications
Articles in journal
Soft sensor for the dry solid content in thickened primary sludge
Part of Water Science and Technology, p. 1946-1956, 2024
- DOI for Soft sensor for the dry solid content in thickened primary sludge
- Download full text (pdf) of Soft sensor for the dry solid content in thickened primary sludge
On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches
Part of IEEE Control Systems Letters, p. 796-801, 2024
Part of IFAC-PapersOnLine, p. 247-252, 2024
Automated data transfer for digital twin applications: Two case studies
Part of Water environment research, 2024
- DOI for Automated data transfer for digital twin applications: Two case studies
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Neural motion planning in dynamic environments
Part of IFAC-PapersOnLine, p. 10126-10131, 2023
- DOI for Neural motion planning in dynamic environments
- Download full text (pdf) of Neural motion planning in dynamic environments
On the regularization in DeePC
Part of IFAC-PapersOnLine, p. 625-631, 2023
Aiding reinforcement learning for set point control
Part of IFAC-PapersOnLine, p. 2437-2443, 2023
- DOI for Aiding reinforcement learning for set point control
- Download full text (pdf) of Aiding reinforcement learning for set point control
Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
Part of IFAC-PapersOnLine, p. 6247-6252, 2023
- DOI for Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
- Download full text (pdf) of Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]
Part of IEEE signal processing magazine (Print), p. 39-75, 2023
Regularized Linear Regression via Covariance Fitting
Part of IEEE Transactions on Signal Processing, p. 1175-1183, 2023
Part of Mechatronics (Oxford), 2020
- DOI for On stability and performance of disturbance observer-based-dynamic load torque compensator for assistive exoskeleton: A hybrid approach
- Download full text (pdf) of On stability and performance of disturbance observer-based-dynamic load torque compensator for assistive exoskeleton: A hybrid approach
Identification of cascade water tanks using a PWARX model
Part of Mechanical systems and signal processing, p. 40-48, 2018
Part of Nonlinear dynamics, p. 1165-1181, 2018
Recursive identification method for piecewise ARX models: A sparse estimation approach
Part of IEEE Transactions on Signal Processing, p. 5082-5093, 2016
Convergence analysis for recursive Hammerstein identification
Part of Automatica, p. 179-186, 2016
Periodical solutions in a pulse-modulated model of endocrine regulation with time-delay
Part of IEEE Transactions on Automatic Control, p. 728-733, 2014
Chapters in book
Modeling of testosterone regulation by pulse-modulated feedback
Part of Signal and Image Analysis for Biomedical and Life Sciences, p. 23-40, Springer, 2015
Comprehensive licentiate thesis
Conference papers
A Model Predictive Control Approach to Motion Planning in Dynamic Environments
Part of 2024 European Control Conference (ECC), p. 3247-3254, 2024
Prediction of on-load tap-changer switch time from vibroacoustic measurements by machine learnings
p. 350-354, 2024
Entropy-regularized diffusion policy with Q-ensembles for offline reinforcement learning
Part of Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
Part of Prep. IFAC World Congress, p. 6807-6912, 2023
Robust nonlinear set-point control with reinforcement learning
Part of 2023 American Control Conference (ACC), p. 84-91, 2023
Willems' fundamental lemma based on second-order moments
Part of 2021 60th IEEE Conference On Decision And Control (CDC), p. 396-401, 2021
Bayes Control of Hammerstein Systems
Part of IFAC PapersOnLine, p. 755-760, 2021
- DOI for Bayes Control of Hammerstein Systems
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Flexible Models for Smart Maintenance
Part of 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), p. 1772-1777, 2019
Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
p. 473-478, 2018
- DOI for Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
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p. 3917-3922, 2017
Recursive nonlinear system identification using latent variables
Part of 25th European Research Network System Identification Workshop, 2016
Pulse-modulated Model of Testosterone Regulation Subject to Exogenous Signals
Part of 2016 IEEE 55th Conference On Decision And Control (CDC), p. 5023-5028, 2016
Recursive identification of Hammerstein models
Part of Proc. American Control Conference, p. 2498-2503, 2014
State estimation in linear time-invariant systems with unknown impulsive inputs
Part of Proc. 12th European Control Conference, p. 1675-1680, 2013
Modeling of testosterone regulation by pulse-modulated feedback: An experimental data study
Part of International Symposium on Computational Models for Life Sciences, p. 333-342, 2013
Estimation of input impulses by means of continuous finite memory observers
Part of Proc. American Control Conference, p. 6769-6774, 2012