Per Mattsson

Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Mattsson, Per et al.

2025

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Learning state observers for recurrent neural network models

Bonassi, Fabio; Andersson, Carl; Mattsson, Per; Schön, Thomas B.

Part of 2024 IEEE 63rd Conference on Decision and Control (CDC), p. 7871-7877, 2024

• DOI for Learning state observers for recurrent neural network models

Safe Output Feedback Improvement with Baselines

Zhang, Ruoqi; Mattsson, Per; Zachariah, Dave

Part of 2024 IEEE 63rd Conference on Decision and Control (CDC), p. 1899-1904, 2024

• DOI for Safe Output Feedback Improvement with Baselines
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Structured state-space models are deep Wiener modelsStructured state-space models are deep Wiener models

Bonassi, Fabio; Andersson, Carl; Mattsson, Per; Schön, Thomas B.

Part of IFAC-PapersOnLine, p. 247-252, 2024

• DOI for Structured state-space models are deep Wiener modelsStructured state-space models are deep Wiener models

Entropy-regularized diffusion policy with Q-ensembles for offline reinforcement learning

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Schön, Thomas B. et al.

Part of Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024

Structured state-space models are deep Wiener modelsStructured state-space models are deep Wiener models

Bonassi, Fabio; Andersson, Carl; Mattsson, Per; Schön, Thomas B.

Part of IFAC-PapersOnLine, p. 247-252, 2024

• DOI for Structured state-space models are deep Wiener modelsStructured state-space models are deep Wiener models

Soft sensor for the dry solid content in thickened primary sludge

Molin, Hanna; Bröndum, Eric; Nilsson, Sara; Mattsson, Per et al.

Part of Water Science and Technology, p. 1946-1956, 2024

• DOI for Soft sensor for the dry solid content in thickened primary sludge
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On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches

Mattsson, Per; Bonassi, Fabio; Breschi, Valentina; Schön, Thomas B.

Part of IEEE Control Systems Letters, p. 796-801, 2024

• DOI for On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches

Automated data transfer for digital twin applications: Two case studies

Molin, Hanna; Warff, Christoffer; Lindblom, Erik; Arnell, Magnus et al.

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

Wullt, Bernhard; Mattsson, Per; Schön, Thomas B.; Norrlöf, Mikael

Part of IFAC-PapersOnLine, p. 10126-10131, 2023

• DOI for Neural motion planning in dynamic environments
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On the regularization in DeePC

Mattsson, Per; Schön, Thomas B.

Part of IFAC-PapersOnLine, p. 625-631, 2023

• DOI for On the regularization in DeePC

Aiding reinforcement learning for set point control

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Part of IFAC-PapersOnLine, p. 2437-2443, 2023

• DOI for Aiding reinforcement learning for set point control
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Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Part of IFAC-PapersOnLine, p. 6247-6252, 2023

• DOI for Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
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Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Part of IEEE signal processing magazine (Print), p. 39-75, 2023

• DOI for Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]

Regularized Linear Regression via Covariance Fitting

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Part of IEEE Transactions on Signal Processing, p. 1175-1183, 2023

• DOI for Regularized Linear Regression via Covariance Fitting

On stability and performance of disturbance observer-based-dynamic load torque compensator for assistive exoskeleton: A hybrid approach

Masud, Nauman; Mattsson, Per; Smith, Christian; Isaksson, Magnus

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
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Identification of cascade water tanks using a PWARX model

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Part of Mechanical systems and signal processing, p. 40-48, 2018

• DOI for Identification of cascade water tanks using a PWARX model

Nonlinear dynamics and entrainment in a continuously forced pulse-modulated model of testosterone regulation

Medvedev, Alexander; Mattsson, Per; Zhusubaliyev, Zhanybai T.; Avrutin, Viktor

Part of Nonlinear dynamics, p. 1165-1181, 2018

• DOI for Nonlinear dynamics and entrainment in a continuously forced pulse-modulated model of testosterone regulation

Recursive identification method for piecewise ARX models: A sparse estimation approach

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Part of IEEE Transactions on Signal Processing, p. 5082-5093, 2016

• DOI for Recursive identification method for piecewise ARX models: A sparse estimation approach

Convergence analysis for recursive Hammerstein identification

Mattsson, Per; Wigren, Torbjörn

Part of Automatica, p. 179-186, 2016

• DOI for Convergence analysis for recursive Hammerstein identification

Periodical solutions in a pulse-modulated model of endocrine regulation with time-delay

Churilov, Alexander; Medvedev, Alexander; Mattsson, Per

Part of IEEE Transactions on Automatic Control, p. 728-733, 2014

• DOI for Periodical solutions in a pulse-modulated model of endocrine regulation with time-delay

Modeling of testosterone regulation by pulse-modulated feedback

Mattsson, Per; Medvedev, Alexander

Part of Signal and Image Analysis for Biomedical and Life Sciences, p. 23-40, Springer, 2015

• DOI for Modeling of testosterone regulation by pulse-modulated feedback

Pulse-modulated feedback in mathematical modeling and estimation of endocrine systems

Mattsson, Per

2014

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Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Mattsson, Per et al.

2025

• Download full text (pdf) of Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Learning state observers for recurrent neural network models

Bonassi, Fabio; Andersson, Carl; Mattsson, Per; Schön, Thomas B.

Part of 2024 IEEE 63rd Conference on Decision and Control (CDC), p. 7871-7877, 2024

• DOI for Learning state observers for recurrent neural network models

Safe Output Feedback Improvement with Baselines

Zhang, Ruoqi; Mattsson, Per; Zachariah, Dave

Part of 2024 IEEE 63rd Conference on Decision and Control (CDC), p. 1899-1904, 2024

• DOI for Safe Output Feedback Improvement with Baselines
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Entropy-regularized diffusion policy with Q-ensembles for offline reinforcement learning

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Schön, Thomas B. et al.

Part of Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024

A Model Predictive Control Approach to Motion Planning in Dynamic Environments

Wullt, Bernhard; Mattsson, Per; Schön, Thomas B.; Norrlöf, Mikael

Part of 2024 European Control Conference (ECC), p. 3247-3254, 2024

• DOI for A Model Predictive Control Approach to Motion Planning in Dynamic Environments

Prediction of on-load tap-changer switch time from vibroacoustic measurements by machine learnings

Schiessling, Joachim; Mattsson, Per; Victorin, Erik; Forssén, Cecilia et al.

p. 350-354, 2024

• DOI for Prediction of on-load tap-changer switch time from vibroacoustic measurements by machine learnings

Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Part of Prep. IFAC World Congress, p. 6807-6912, 2023

Robust nonlinear set-point control with reinforcement learning

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Part of 2023 American Control Conference (ACC), p. 84-91, 2023

• DOI for Robust nonlinear set-point control with reinforcement learning

Willems' fundamental lemma based on second-order moments

Ferizbegovic, Mina; Hjalmarsson, Hakan; Mattsson, Per; Schön, Thomas B.

Part of 2021 60th IEEE Conference On Decision And Control (CDC), p. 396-401, 2021

• DOI for Willems' fundamental lemma based on second-order moments

Bayes Control of Hammerstein Systems

Ferizbegovic, Mina; Mattsson, Per; Schön, Thomas B.; Hjalmarsson, Håkan

Part of IFAC PapersOnLine, p. 755-760, 2021

• DOI for Bayes Control of Hammerstein Systems
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Flexible Models for Smart Maintenance

Mattsson, Per; Zachariah, Dave; Bjorsell, Niclas

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

Olsson, Fredrik; Halvorsen, Kjartan; Zachariah, Dave; Mattsson, Per

p. 473-478, 2018

• DOI for Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
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Nonlinear system identification of the dissolved oxygen to effluent ammonia dynamics in an activated sludge process

Chistiakova, Tatiana; Mattsson, Per; Carlsson, Bengt; Wigren, Torbjörn

p. 3917-3922, 2017

• DOI for Nonlinear system identification of the dissolved oxygen to effluent ammonia dynamics in an activated sludge process

Recursive nonlinear system identification using latent variables

Mattsson, Per; Zachariah, Dave; Stoica, Peter

Part of 25th European Research Network System Identification Workshop, 2016

Pulse-modulated Model of Testosterone Regulation Subject to Exogenous Signals

Mattsson, Per; Medvedev, Alexander; Zhusubaliyev, Zhanybai T.

Part of 2016 IEEE 55th Conference On Decision And Control (CDC), p. 5023-5028, 2016

• DOI for Pulse-modulated Model of Testosterone Regulation Subject to Exogenous Signals

Recursive identification of Hammerstein models

Mattsson, Per; Wigren, Torbjörn

Part of Proc. American Control Conference, p. 2498-2503, 2014

• DOI for Recursive identification of Hammerstein models

Modeling of testosterone regulation by pulse-modulated feedback: An experimental data study

Mattsson, Per; Medvedev, Alexander

Part of International Symposium on Computational Models for Life Sciences, p. 333-342, 2013

• DOI for Modeling of testosterone regulation by pulse-modulated feedback: An experimental data study

State estimation in linear time-invariant systems with unknown impulsive inputs

Mattsson, Per; Medvedev, Alexander

Part of Proc. 12th European Control Conference, p. 1675-1680, 2013

Estimation of input impulses by means of continuous finite memory observers

Mattsson, Per; Medvedev, Alexander

Part of Proc. American Control Conference, p. 6769-6774, 2012

• DOI for Estimation of input impulses by means of continuous finite memory observers

Modeling and identification of nonlinear and impulsive systems

Mattsson, Per

2016

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Nonlinear system identification of the dissolved oxygen to effluent ammonium dynamics in an activated sludge process

Chistiakova, Tatiana; Mattsson, Per; Carlsson, Bengt; Wigren, Torbjörn

2018

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