2017 - Fellow of the International Federation of Automatic Control (IFAC)
Bo Wahlberg mainly investigates System identification, Control theory, Applied mathematics, Mathematical optimization and Algorithm. His System identification study combines topics in areas such as Dynamical systems theory, Linear system and Sampling, Statistics, Covariance matrix. In his work, Trajectory, Trailer, Truck and Reversing is strongly intertwined with Control engineering, which is a subfield of Control theory.
His Applied mathematics study incorporates themes from Transfer function, Laguerre polynomials and Bounded function. His work on Augmented Lagrangian method as part of general Mathematical optimization study is frequently connected to Convex optimization, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Algorithm research is multidisciplinary, incorporating elements of Subspace topology, Estimator and Maximum a posteriori estimation.
Bo Wahlberg mainly focuses on Control theory, System identification, Mathematical optimization, Algorithm and Applied mathematics. His Control theory research incorporates elements of Estimation theory and Model predictive control. He interconnects Control engineering, Function, Covariance matrix and Linear system in the investigation of issues within System identification.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Spectral density estimation and Markov model. In his study, which falls under the umbrella issue of Algorithm, Observability is strongly linked to Subspace topology. His Applied mathematics research is multidisciplinary, relying on both Transfer function, Linear regression, Laguerre polynomials, Frequency domain and Autoregressive model.
His scientific interests lie mostly in Motion planning, Control theory, Mathematical optimization, Algorithm and Model predictive control. His research brings together the fields of Distributed model predictive control and Control theory. While working in this field, Bo Wahlberg studies both Mathematical optimization and Action.
Bo Wahlberg has included themes like Linear regression and Graph in his Algorithm study. His Stochastic process research focuses on Noise measurement and how it connects with System identification. To a larger extent, Bo Wahlberg studies Identification with the aim of understanding System identification.
His primary areas of study are Motion planning, Mathematical optimization, Frame, Algorithm and Stochastic process. In his study, Vehicle dynamics, Torque, Actuator and Smoothness is strongly linked to Trajectory, which falls under the umbrella field of Motion planning. Specifically, his work in Mathematical optimization is concerned with the study of Optimal control.
His studies in Frame integrate themes in fields like Control engineering, Optimization problem and Trailer. His Algorithm study incorporates themes from Covariance, State space, Robustness and Signal processing. His Stochastic process research incorporates elements of Dynamical systems theory, Noise, Covariance matrix, Noise measurement and Hidden Markov model.
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System identification using Laguerre models
IEEE Transactions on Automatic Control (1991)
System identification using Kautz models
IEEE Transactions on Automatic Control (1994)
An adaptive array for mobile communication systems
S. Anderson;M. Millnert;M. Viberg;B. Wahlberg.
IEEE Transactions on Vehicular Technology (1991)
Modelling and Identification with Rational Orthogonal Basis Functions
Paul Van den Hof;Bo Wahlberg;Peter Heuberger;Brett Ninness.
IFAC Proceedings Volumes (2000)
On approximation of stable linear dynamical systems using Laguerre and Kautz functions
B. Wahlberg;Pertti Mäkilä.
Design variables for bias distribution in transfer function estimation
B. Wahlberg;L. Ljung.
IEEE Transactions on Automatic Control (1986)
Hard frequency-domain model error bounds from least-squares like identification techniques
B. Wahlberg;L. Ljung.
IEEE Transactions on Automatic Control (1992)
An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems
Bo Wahlberg;Stephen P. Boyd;Mariette Annergren;Yang Wang.
IFAC Proceedings Volumes (2012)
A feedback control scheme for reversing a truck and trailer vehicle
C. Altafini;A. Speranzon;B. Wahlberg.
international conference on robotics and automation (2001)
On Consistency of Subspace Methods for System Identification
Magnus Jansson;Bo Wahlberg.
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