2023 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
2022 - Research.com Engineering and Technology in Sweden Leader Award
2016 - Member of Academia Europaea
2007 - IEEE Control Systems Award “For seminal contributions to system identification and its impact on industrial practice.”
2005 - Fellow of the International Federation of Automatic Control (IFAC)
2004 - Member of the National Academy of Engineering For contributions to the understanding and practical uses of system identification theory and techniques.
1985 - IEEE Fellow For contributions to recursive parameter estimation and adaptive control.
Lennart Ljung mainly focuses on System identification, Mathematical optimization, Applied mathematics, Identification and Control theory. His System identification research includes elements of Linear system, Frequency domain, Artificial intelligence, Nonlinear system and Algorithm. Lennart Ljung works mostly in the field of Algorithm, limiting it down to topics relating to Errors-in-variables models and, in certain cases, Set, as a part of the same area of interest.
His research in Mathematical optimization focuses on subjects like Regularization, which are connected to Finite impulse response. He combines subjects such as Transfer function, Random variable, Convergence, Estimation theory and Consistency with his study of Applied mathematics. His Identification study combines topics from a wide range of disciplines, such as Subspace topology and Machine learning, Identifiability.
His scientific interests lie mostly in System identification, Mathematical optimization, Identification, Control theory and Applied mathematics. Lennart Ljung focuses mostly in the field of System identification, narrowing it down to matters related to Algorithm and, in some cases, Subspace topology. His research investigates the connection with Mathematical optimization and areas like Regularization which intersect with concerns in Impulse response.
His Identification research incorporates elements of Control engineering, Machine learning, Identifiability and Artificial intelligence. His study in the field of Adaptive control, Closed loop and LTI system theory is also linked to topics like Mean squared prediction error. The Applied mathematics study combines topics in areas such as Transfer function, Linear system, Matrix and Estimator, Statistics.
Lennart Ljung mostly deals with System identification, Mathematical optimization, Applied mathematics, Regularization and Algorithm. His research on System identification concerns the broader Identification. His research integrates issues of Maximum likelihood, Linear system and Bayesian probability in his study of Mathematical optimization.
His Linear system research is multidisciplinary, incorporating elements of Nonparametric statistics and Noise. His Algorithm study integrates concerns from other disciplines, such as Dynamical systems theory, Dynamic network analysis and Variable kernel density estimation. In his research on the topic of Nonlinear system, Range is strongly related with Nonlinear system identification.
Lennart Ljung mainly investigates Mathematical optimization, System identification, Regularization, Identification and Applied mathematics. Lennart Ljung interconnects Marginal likelihood, Bayesian probability, Kernel embedding of distributions and Linear regression in the investigation of issues within Mathematical optimization. His System identification research integrates issues from Transfer function, Empirical Bayes method, Linear system, Kernel method and Algorithm.
His Linear system research focuses on Nonparametric statistics and how it connects with Matrix norm. His Algorithm study combines topics in areas such as Control theory and Variable kernel density estimation. His studies in Identification integrate themes in fields like Maximum likelihood, Theoretical computer science and Nonlinear system.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
System Identification: Theory for the User
Theory and Practice of Recursive Identification
Lennart Ljung;Torsten Söderström.
Nonlinear black-box modeling in system identification: a unified overview
Jonas Sjöberg;Qinghua Zhang;Lennart Ljung;Albert Benveniste.
Analysis of recursive stochastic algorithms
IEEE Transactions on Automatic Control (1977)
Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
IEEE Transactions on Automatic Control (1979)
Modeling of dynamic systems
Lennart Ljung;Torkel Glad.
Closed-loop identification revisited
Urban Forssell;Lennart Ljung.
Paper: Theory and applications of self-tuning regulators
K. J. Åström;U. Borisson;L. Ljung;B. Wittenmark.
System identification (2nd ed.): theory for the user
On global identifiability for arbitrary model parametrizations
Lennart Ljung;Torkel Glad.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: