Per Mattsson

A Model Predictive Control Approach to Motion Planning in Dynamic Environments

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

Ingår i 2024 European Control Conference (ECC), s. 3247-3254, 2024

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

Soft sensor for the dry solid content in thickened primary sludge

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

Ingår i Water Science and Technology, s. 1946-1956, 2024

• DOI för 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.

Ingår i IEEE Control Systems Letters, s. 796-801, 2024

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

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

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

s. 350-354, 2024

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

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

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

Ingår i Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024

Soft sensor for the dry solid content in thickened primary sludge

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

Ingår i Water Science and Technology, s. 1946-1956, 2024

• DOI för Soft sensor for the dry solid content in thickened primary sludge
• Ladda ner fulltext (pdf) av Soft sensor for the dry solid content in thickened primary sludge

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

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

Ingår i IEEE Control Systems Letters, s. 796-801, 2024

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

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

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

Ingår i IFAC-PapersOnLine, s. 247-252, 2024

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

Automated data transfer for digital twin applications: Two case studies

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

Ingår i Water environment research, 2024

• DOI för 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

Ingår i IFAC-PapersOnLine, s. 10126-10131, 2023

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

Mattsson, Per; Schön, Thomas B.

Ingår i IFAC-PapersOnLine, s. 625-631, 2023

• DOI för On the regularization in DeePC

Aiding reinforcement learning for set point control

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Ingår i IFAC-PapersOnLine, s. 2437-2443, 2023

• DOI för Aiding reinforcement learning for set point control
• Ladda ner fulltext (pdf) av Aiding reinforcement learning for set point control

Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Ingår i IFAC-PapersOnLine, s. 6247-6252, 2023

• DOI för 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

Ingår i IEEE signal processing magazine (Print), s. 39-75, 2023

• DOI för 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

Ingår i IEEE Transactions on Signal Processing, s. 1175-1183, 2023

• DOI för 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

Ingår i Mechatronics (Oxford), 2020

• DOI för 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

Ingår i Mechanical systems and signal processing, s. 40-48, 2018

• DOI för 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

Ingår i Nonlinear dynamics, s. 1165-1181, 2018

• DOI för 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

Ingår i IEEE Transactions on Signal Processing, s. 5082-5093, 2016

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

Convergence analysis for recursive Hammerstein identification

Mattsson, Per; Wigren, Torbjörn

Ingår i Automatica, s. 179-186, 2016

• DOI för 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

Ingår i IEEE Transactions on Automatic Control, s. 728-733, 2014

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

Modeling and identification of nonlinear and impulsive systems

Mattsson, Per

2016

• Ladda ner fulltext (pdf) av Modeling and identification of nonlinear and impulsive systems

Modeling of testosterone regulation by pulse-modulated feedback

Mattsson, Per; Medvedev, Alexander

Ingår i Signal and Image Analysis for Biomedical and Life Sciences, s. 23-40, Springer, 2015

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

A Model Predictive Control Approach to Motion Planning in Dynamic Environments

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

Ingår i 2024 European Control Conference (ECC), s. 3247-3254, 2024

• DOI för 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.

s. 350-354, 2024

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

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

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

Ingår i Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024

Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Ingår i Prep. IFAC World Congress, s. 6807-6912, 2023

Robust nonlinear set-point control with reinforcement learning

Zhang, Ruoqi; Mattsson, Per; Wigren, Torbjörn

Ingår i 2023 American Control Conference (ACC), s. 84-91, 2023

• DOI för 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.

Ingår i 2021 60th IEEE Conference On Decision And Control (CDC), s. 396-401, 2021

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

Bayes Control of Hammerstein Systems

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

Ingår i IFAC PapersOnLine, s. 755-760, 2021

• DOI för Bayes Control of Hammerstein Systems
• Ladda ner fulltext (pdf) av Bayes Control of Hammerstein Systems

Flexible Models for Smart Maintenance

Mattsson, Per; Zachariah, Dave; Bjorsell, Niclas

Ingår i 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), s. 1772-1777, 2019

Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors

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

s. 473-478, 2018

• DOI för 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

s. 3917-3922, 2017

• DOI för 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

Ingår i 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.

Ingår i 2016 IEEE 55th Conference On Decision And Control (CDC), s. 5023-5028, 2016

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

Recursive identification of Hammerstein models

Mattsson, Per; Wigren, Torbjörn

Ingår i Proc. American Control Conference, s. 2498-2503, 2014

• DOI för Recursive identification of Hammerstein models

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

Mattsson, Per; Medvedev, Alexander

Ingår i Proc. 12th European Control Conference, s. 1675-1680, 2013

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

Mattsson, Per; Medvedev, Alexander

Ingår i International Symposium on Computational Models for Life Sciences, s. 333-342, 2013

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

Estimation of input impulses by means of continuous finite memory observers

Mattsson, Per; Medvedev, Alexander

Ingår i Proc. American Control Conference, s. 6769-6774, 2012

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

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

Mattsson, Per

2014

• Ladda ner fulltext (pdf) av Pulse-modulated feedback in mathematical modeling and estimation of endocrine systems

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

• Ladda ner fulltext (pdf) av Nonlinear system identification of the dissolved oxygen to effluent ammonium dynamics in an activated sludge process