2013 - IEEE Fellow For contributions to data-based controller design
Håkan Hjalmarsson focuses on Control theory, System identification, Control engineering, Mathematical optimization and Identification. His research combines Iterative method and Control theory. His studies deal with areas such as Estimation theory, Optimization problem, Algorithm, Applied mathematics and Nonlinear system as well as System identification.
His Algorithm research is multidisciplinary, relying on both Basis function, Fuzzy set, Estimator and Function approximation. His Control engineering research incorporates elements of Control and Control algorithm. Håkan Hjalmarsson interconnects Design of experiments, Covariance matrix and Noise in the investigation of issues within Mathematical optimization.
The scientist’s investigation covers issues in System identification, Control theory, Mathematical optimization, Algorithm and Identification. His System identification research incorporates themes from Linear system, Kernel, Impulse response, Covariance matrix and Applied mathematics. His Control theory study combines topics from a wide range of disciplines, such as Control engineering and Design of experiments.
His Control engineering study combines topics in areas such as Input design and Control. His research in Mathematical optimization intersects with topics in Convergence and Norm. His Algorithm research includes elements of Marginal likelihood and Bayes' theorem.
His scientific interests lie mostly in Algorithm, System identification, Applied mathematics, Identification and Mathematical optimization. When carried out as part of a general Algorithm research project, his work on Hyperparameter is frequently linked to work in Gaussian process, therefore connecting diverse disciplines of study. His biological study spans a wide range of topics, including Statistics, Linear system, Control theory and Delta method.
His Applied mathematics study integrates concerns from other disciplines, such as Parametric statistics, Parametric model, Estimator, Nonlinear system and Likelihood function. His Identification research also works with subjects such as
Håkan Hjalmarsson mainly investigates System identification, Mathematical optimization, Algorithm, Identification and Applied mathematics. His System identification study incorporates themes from Input design, Control theory, Real-time Control System, Control and Noise. His work in Control theory is not limited to one particular discipline; it also encompasses Model predictive control.
His Mathematical optimization research integrates issues from Marginal likelihood, Kernel and Linear dynamical system. Many of his research projects under Algorithm are closely connected to Gaussian process and Box–Jenkins with Gaussian process and Box–Jenkins, tying the diverse disciplines of science together. The study incorporates disciplines such as Design of experiments, Control theory and Interconnection in addition to Identification.
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Nonlinear black-box modeling in system identification: a unified overview
Jonas Sjöberg;Qinghua Zhang;Lennart Ljung;Albert Benveniste.
Iterative feedback tuning: theory and applications
H. Hjalmarsson;M. Gevers;S. Gunnarsson;O. Lequin.
IEEE Control Systems Magazine (1998)
From experiment design to closed-loop control
Nonlinear black-box models in system identification: mathematical foundations
Anatoli Juditsky;Håkan Hjalmarsson;Albert Benveniste;Bernard Delyon.
Iterative feedback tuning-an overview
International Journal of Adaptive Control and Signal Processing (2002)
A convergent iterative restricted complexity control design scheme
H. Hjalmarsson;S. Gunnarsson;M. Gevers.
conference on decision and control (1994)
For model-based control design, closed-loop identification gives better performance
Håkan Hjalmarsson;Michel Gevers;Franky De Bruyne.
Input design via LMIs admitting frequency-wise model specifications in confidence regions
H. Jansson;H. Hjalmarsson.
IEEE Transactions on Automatic Control (2005)
Neural Networks in System Identification
Jonas Sjöberg;Håkan Hjalmarsson;Lennart Ljung.
IFAC Proceedings Volumes (1994)
System identification of complex and structured systems
european control conference (2009)
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