Per Mattsson
Universitetslektor vid Institutionen för informationsteknologi; Systemteknik
- Telefon:
- 018-471 31 68
- E-post:
- per.mattsson@it.uu.se
- Besöksadress:
- Hus 10, Lägerhyddsvägen 1
- Postadress:
- Box 337
751 05 UPPSALA
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Kort presentation
Associate professor at the division of Systems and Control. Research interests include: data-driven control, system identification, reinforcement learning and predictive maintenance.
Publikationer
Senaste publikationer
- On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches (2024)
- On the regularization in DeePC (2023)
- Regularized Linear Regression via Covariance Fitting (2023)
- Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes] (2023)
- Neural motion planning in dynamic environments (2023)
Alla publikationer
Artiklar
- On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches (2024)
- Regularized Linear Regression via Covariance Fitting (2023)
- Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes] (2023)
- Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning (2023)
- Aiding reinforcement learning for set point control (2023)
- On stability and performance of disturbance observer-based-dynamic load torque compensator for assistive exoskeleton (2020)
- Nonlinear dynamics and entrainment in a continuously forced pulse-modulated model of testosterone regulation (2018)
- Convergence analysis for recursive Hammerstein identification (2016)
- Recursive identification method for piecewise ARX models (2016)
- Periodical solutions in a pulse-modulated model of endocrine regulation with time-delay (2014)
Böcker
- Modeling and identification of nonlinear and impulsive systems (2016)
- Pulse-modulated feedback in mathematical modeling and estimation of endocrine systems (2014)
Kapitel
Konferenser
- On the regularization in DeePC (2023)
- Neural motion planning in dynamic environments (2023)
- Robust nonlinear set-point control with reinforcement learning (2023)
- Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning (2023)
- Willems' fundamental lemma based on second-order moments (2021)
- Bayes Control of Hammerstein Systems (2021)
- Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors (2018)
- Nonlinear system identification of the dissolved oxygen to effluent ammonia dynamics in an activated sludge process (2017)
- Pulse-modulated Model of Testosterone Regulation Subject to Exogenous Signals (2016)
- Recursive nonlinear system identification using latent variables (2016)
- Recursive identification of Hammerstein models (2014)
- Modeling of testosterone regulation by pulse-modulated feedback (2013)
- State estimation in linear time-invariant systems with unknown impulsive inputs (2013)
- Estimation of input impulses by means of continuous finite memory observers (2012)
Rapporter
