Håkan Hjalmarsson
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H. Jansson
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Applications of mixed $mathcal H_ınfty$ and $mathcal H_2$ input design in identification
Closed loop experiment design for linear time invariant dynamical systems via LMIs
Closed loop experiment design for linear time invariant dynamical systems via LMIs
Finite sample input design for linearly parameterized models subject to frequency domain constraints
From open loop learning to closed loop control
Input design for identification of zeros
On methods for gradient estimation in IFT for MIMO systems
Optimal experiment design in closed loop
Using a sufficient condition to analyze the interplay between identification and control
Using local and global information in identification for control
A control perspective on optimal input design in system identification
Input Design via LMIs Admitting Frequency-wise Model Specifications in Confidence Regions
Convex computation of worst-case criteria with applications in identification and control
Mixed $mathcal H_ınfty$ and $mathcal H_2$ input design
A framework for mixed $mathcal H_ınfty$ and $mathcal H_2$ input design
Application of mixed $mathcal H_ınfty$ and $mathcal H_2$ input design to identification for control
Experiment design with applications in identification for control
Gradient approximations in Iterative Feedback Tuning of Multivariable Processes
Identification for control: Using sensitivity information to improve quality of restricted complexity models
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