His primary areas of investigation include Artificial neural network, Mathematical optimization, Nonlinear system, Algorithm and System identification. His research investigates the link between Artificial neural network and topics such as Minification that cross with problems in Parametric statistics. His Mathematical optimization research includes elements of Control engineering and Energy management.
His Nonlinear system research integrates issues from Consistency and System dynamics. His work on Estimation theory as part of general Algorithm study is frequently linked to Hyperplane, therefore connecting diverse disciplines of science. His System identification study improves the overall literature in Identification.
His primary scientific interests are in Nonlinear system, Control theory, Mathematical optimization, Algorithm and Artificial neural network. His work carried out in the field of Nonlinear system brings together such families of science as Nonlinear system identification, System identification, Identification and State space. In his research, Black box is intimately related to Parameter identification problem, which falls under the overarching field of System identification.
He has researched Mathematical optimization in several fields, including Estimation theory and Parametric statistics. His work on Adaptive filter as part of general Algorithm research is frequently linked to Hyperplane, thereby connecting diverse disciplines of science. His Artificial neural network study deals with the bigger picture of Artificial intelligence.
Artificial intelligence, Reinforcement learning, Model predictive control, Control theory and Control theory are his primary areas of study. Jonas Sjöberg combines subjects such as Machine learning and Identification with his study of Artificial intelligence. In general Machine learning, his work in Artificial neural network is often linked to Uncertainty estimation linking many areas of study.
The Identification study which covers Simple linear regression that intersects with Nonlinear system. In his work, Jonas Sjöberg performs multidisciplinary research in Nonlinear system and Numerical integration. His studies deal with areas such as Algorithm and Collision avoidance as well as Intersection.
Jonas Sjöberg mainly investigates Algorithm, Parameter identification problem, Model predictive control, System identification and Optimal control. His biological study spans a wide range of topics, including Intersection, Q-learning, Trajectory and Nonlinear system. His Nonlinear system study combines topics from a wide range of disciplines, such as Black box, Identification, White box, Benchmark and Flexibility.
Jonas Sjöberg has included themes like Powertrain, Control theory, Maximum principle and Reinforcement learning in his Model predictive control study. His System identification research includes themes of Linear model, Frequency domain, Identifiability and Applied mathematics. His research in Optimal control intersects with topics in Intelligent agent, Simulation and Heuristics.
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Nonlinear black-box modeling in system identification: a unified overview
Jonas Sjöberg;Qinghua Zhang;Lennart Ljung;Albert Benveniste.
Nonlinear black-box models in system identification: mathematical foundations
Anatoli Juditsky;Håkan Hjalmarsson;Albert Benveniste;Bernard Delyon.
Component sizing of a plug-in hybrid electric powertrain via convex optimization
Nikolce Murgovski;Lars Johannesson;Lars Johannesson;Jonas Sjöberg;Bo Egardt.
Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions
Mattias Brännström;E Coelingh;Jonas Sjöberg.
IEEE Transactions on Intelligent Transportation Systems (2010)
Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
L.S.H. Ngia;J. Sjoberg.
IEEE Transactions on Signal Processing (2000)
Neural Networks in System Identification
Jonas Sjöberg;Håkan Hjalmarsson;Lennart Ljung.
IFAC Proceedings Volumes (1994)
Overtraining, regularization and searching for a minimum, with application to neural networks
Jonas Sjöberg;Lennart Ljung.
International Journal of Control (1995)
Overtraining, Regularization, and Searching for Minimum in Neural Networks
J. Sjöberg;L. Ljung.
IFAC Proceedings Volumes (1992)
Non-Linear System Identification with Neural Networks
Autonomous cooperative driving: A velocity-based negotiation approach for intersection crossing
Gabriel Rodrigues de Campos;Paolo Falcone;Jonas Sjoberg.
international conference on intelligent transportation systems (2013)
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