World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
8057
World Ranking
4614
National Ranking
77

Research.com Recognitions

  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Bo Wahlberg is affiliated with the Royal Institute of Technology in Sweden and has made contributions primarily in the fields of engineering and computer science. Their research spans several subfields, including Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Automotive Engineering, and Computer Networks and Communications.

Their recent publications cover topics related to autonomous systems, control algorithms, and robotics. Notable papers include:

  • Optimization-Based On-Road Path Planning for Articulated Vehicles, 2020, published in IFAC-PapersOnLine
  • Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems, 2020, published in IEEE Transactions on Signal Processing
  • Adaptive Reference Aware MPC for Lateral Control of Autonomous Vehicles, 2022, published in Control Engineering Practice
  • WARA-PS: a Research Arena for Public Safety Demonstrations and Autonomous Collaborative Rescue Robotics Experimentation, 2021, published in Autonomous Intelligent Systems
  • Distributed Model Predictive Control for Cooperative Landing, 2020, published in IFAC-PapersOnLine

Frequent co-authors collaborating with Bo Wahlberg include Cristian R. Rojas, Dženan Lapandić, Dimos V. Dimarogonas, Christos K. Verginis, and Xiaoming Hu.

The scientist has published extensively in prominent venues such as arXiv (Cornell University), IFAC-PapersOnLine, Control Engineering Practice, Autonomous Intelligent Systems, and the Journal of Systems Science and Complexity.

Bo Wahlberg's main research topics emphasize advanced control systems optimization, fault detection and control systems, robotic path planning algorithms, control systems and identification, adaptive control of nonlinear systems, vehicle dynamics and control systems, and distributed control of multi-agent systems.

  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Robotic Path Planning Algorithms
  • Control Systems and Identification
  • Adaptive Control of Nonlinear Systems
  • Vehicle Dynamics and Control Systems
  • Distributed Control Multi-Agent Systems

In 2017, Bo Wahlberg was awarded the title of Fellow of the International Federation of Automatic Control (IFAC).

Best Publications

  • System identification using Laguerre models

    B. Wahlberg

  • System identification using Kautz models

    B. Wahlberg

  • An adaptive array for mobile communication systems

    S. Anderson;M. Millnert;M. Viberg;B. Wahlberg

  • Modelling and Identification with Rational Orthogonal Basis Functions

    Paul Van den Hof;Bo Wahlberg;Peter Heuberger;Brett Ninness

  • An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems

    Bo Wahlberg;Stephen P. Boyd;Mariette Annergren;Yang Wang

  • 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

  • Hard frequency-domain model error bounds from least-squares like identification techniques

    B. Wahlberg;L. Ljung

  • A feedback control scheme for reversing a truck and trailer vehicle

    C. Altafini;A. Speranzon;B. Wahlberg

  • On Consistency of Subspace Methods for System Identification

    Magnus Jansson;Bo Wahlberg

  • Analysis of state space system identification methods based on instrumental variables and subspace fitting

    Mats Viberg;Bo Wahlberg;Björn Ottersten

  • LMS estimation via structural detection

    J. Homer;I. Mareels;R.R. Bitmead;B. Wahlberg

  • A linear regression approach to state-space subspace system identification

    Magnus Jansson;Bo Wahlberg

  • Asymptotic Properties of the Least Squares Method for Estimating Transfer Functions and Disturbance Spectra

    Lennart Ljung;Bo Wahlberg

  • Stabilization of Induction Motor Drives With Poorly Damped Input Filters

    H. Mosskull;J. Galic;B. Wahlberg

  • Asymptotic properties of the least-squares method for estimating transfer functions and disturbance spectra

    Unknown

  • Estimation of building occupancy levels through environmental signals deconvolution

    Afrooz Ebadat;Giulio Bottegal;Damiano Varagnolo;Bo Wahlberg

  • Model reductions of high-order estimated models : the asymptotic ML approach

    Bo Wahlberg

  • Brief paper: Non-parametric methods for L2-gain estimation using iterative experiments

    Bo Wahlberg;Märta Barenthin Syberg;Håkan Hjalmarsson

  • Limit results for sampled systems

    Bo Wahlberg

  • Blind equalization by direct examination of the input sequences

    F. Gustafsson;B. Wahlberg

Frequent Co-Authors

Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Vikram Krishnamurthy
Vikram Krishnamurthy Cornell University
Lennart Ljung
Lennart Ljung Linköping University
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Mats Viberg
Mats Viberg Chalmers University of Technology
Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Henrik Sandberg
Henrik Sandberg Royal Institute of Technology
Iven Mareels
Iven Mareels IBM (United States)
Petre Stoica
Petre Stoica Uppsala University

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