Bo Wahlberg

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 79

Top Venues

Publications

Yibei Li, Bo Wahlberg, Xiaoming Hu, Lihua Xie
Inverse Kalman filtering problems for discrete-time systems. Autom. 163 (2024)
Panpan Zhou, Xiaoming Hu, Bo Wahlberg
Distributed Strategies for Pursuit-Evasion of High-Order Integrators. ICCA (2024)
Linnea Persson, Anders Hansson, Bo Wahlberg
An optimization algorithm based on forward recursion with applications to variable horizon MPC. Eur. J. Control 75 (2024)
Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg
Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles. CoRR (2023)
Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC (2023)
Rebecka Winqvist, Inês Lourenço, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg
Optimal Transport for Correctional Learning. CDC (2023)
Inês Lourenço, Robert Mattila, Rodrigo M. M. Ventura, Bo Wahlberg
A Biologically-Inspired Computational Model of Time Perception. CoRR (2023)
Yibei Li, Xiaoming Hu, Bo Wahlberg, Lihua Xie
Inverse Kalman Filtering for Systems with Correlated Noises. CDC (2023)
Rebecka Winqvist, Inês Lourenço, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg
Optimal Transport for Correctional Learning. CoRR (2023)
Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg
Diagnosing and Repairing Feature Representations Under Distribution Shifts. CDC (2023)
Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg
Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses. CoRR (2023)
Rui Oliveira, Siddharth H. Nair, Bo Wahlberg
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control. IV (2023)
Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning. CoRR (2023)
Rui Oliveira, Siddharth H. Nair, Bo Wahlberg
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control. CoRR (2023)
Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg
Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance. CoRR (2022)
Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg
. CDC (2022)
Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg
. CDC (2022)
Inês Lourenço, Robert Mattila, Rodrigo M. M. Ventura, Bo Wahlberg
A Biologically Inspired Computational Model of Time Perception. IEEE Trans. Cogn. Dev. Syst. 14 (2) (2022)
Lucas N. Egidio, Anders Hansson, Bo Wahlberg
Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm. IJCNN (2021)
Olov Andersson, Patrick Doherty, Mårten Lager, Jens-Olof Lindh, Linnea Persson, Elin A. Topp, Jesper Tordenlid, Bo Wahlberg
WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation. Auton. Intell. Syst. 1 (1) (2021)
Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg
A teacher-student framework for online correctional learning. CoRR (2021)
Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
Learning Models of Model Predictive Controllers using Gradient Data. CoRR (2021)
Dzenan Lapandic, Linnea Persson, Dimos V. Dimarogonas, Bo Wahlberg
Aperiodic Communication for MPC in Autonomous Cooperative Landing. CoRR (2021)
Inês Lourenço, Robert Mattila, Cristian R. Rojas, Xiaoming Hu, Bo Wahlberg
Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection. J. Syst. Sci. Complex. 34 (5) (2021)
Yibei Li, Bo Wahlberg, Xiaoming Hu
Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems. J. Syst. Sci. Complex. 34 (5) (2021)
Rui Oliveira, Pedro F. Lima, Marcello Cirillo, Bo Wahlberg
Autonomous Bus Driving: A Novel Motion-Planning Approach. IEEE Veh. Technol. Mag. 16 (3) (2021)
Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making. CoRR (2020)
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Jonas Mårtensson, Bo Wahlberg
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles. CoRR (2020)
Gonçalo Collares Pereira, Pedro F. Lima, Bo Wahlberg, Henrik Pettersson, Jonas Mårtensson
. ITSC (2020)
Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making. CDC (2020)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Inverse Filtering for Hidden Markov Models with Applications to Counter-Adversarial Autonomous Systems. CoRR (2020)
Mohamed Rasheed-Hilmy Abdalmoaty, Håkan Hjalmarsson, Bo Wahlberg
The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes]. IEEE Signal Process. Mag. 37 (6) (2020)
Gonçalo Collares Pereira, Pedro F. Lima, Bo Wahlberg, Henrik Pettersson, Jonas Mårtensson
Reference Aware Model Predictive Control for Autonomous Vehicles11This work was partially supported by the Wallenberg Artificial Intelligence, Autonomous Systems, and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. IV (2020)
Lucas N. Egidio, Anders Hansson, Bo Wahlberg
Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm. CoRR (2020)
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Bo Wahlberg
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles. IV (2020)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems. IEEE Trans. Signal Process. 68 (2020)
Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
Recursive Prediction of Graph Signals With Incoming Nodes. ICASSP (2020)
Robert Mattila, Cristian R. Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations. ICML (2020)
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Bo Wahlberg
Optimization-Based On-Road Path Planning for Articulated Vehicles. CoRR (2020)
Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
On Training and Evaluation of Neural Network Approaches for Model Predictive Control. CoRR (2020)
Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. ICASSP (2020)
Inês Lourenço, Rodrigo M. M. Ventura, Bo Wahlberg
Teaching Robots to Perceive Time: A Twofold Learning Approach. ICDL-EPIROB (2020)
Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg
Cooperative System Identification via Correctional Learning. CoRR (2020)
Arun Venkitaraman, Bo Wahlberg
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression. CoRR (2020)
Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
Recursive Prediction of Graph Signals with Incoming Nodes. CoRR (2019)
Robert Mattila, Inês Lourenço, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions. IEEE Control. Syst. Lett. 3 (3) (2019)
Rui Oliveira, Pedro F. Lima, Gonçalo Collares Pereira, Jonas Mårtensson, Bo Wahlberg
Path Planning for Autonomous Bus Driving in Highly Constrained Environments. ITSC (2019)
Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. CoRR (2019)
Arun Venkitaraman, Håkan Hjalmarsson, Bo Wahlberg
Learning sparse linear dynamic networks in a hyper-parameter free setting. CoRR (2019)
Inês Lourenço, Bo Wahlberg, Rodrigo Ventura
Teaching robots to perceive time - A reinforcement learning approach (Extended version). CoRR (2019)
Rui Oliveira, Pedro F. Lima, Gonçalo Collares Pereira, Jonas Mårtensson, Bo Wahlberg
Path Planning for Autonomous Bus Driving in Urban Environments. CoRR (2019)
Pedro F. Lima, Goncalo Collares Pereira, Jonas Mårtensson, Bo Wahlberg
Progress Maximization Model Predictive Controller. ITSC (2018)
Eduardo Rauh Muller, Bo Wahlberg, Rodrigo Castelan Carlson
Optimal motion planning for automated vehicles with scheduled arrivals at intersections. ECC (2018)
Bo Wahlberg, Lennart Ljung
Algorithms and Performance Analysis for Stochastic Wiener System Identification. IEEE Control. Syst. Lett. 2 (3) (2018)
Linnea Persson, Bo Wahlberg
Verification of Cooperative Maneuvers in FlightGear using MPC and Backwards Reachable Sets. ECC (2018)
Goncalo Collares Pereira, Pedro F. Lima, Bo Wahlberg, Henrik Pettersson, Jonas Mårtensson
Linear Time-Varying Robust Model Predictive Control for Discrete-Time Nonlinear Systems. CDC (2018)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Inverse Filtering for Linear Gaussian State-Space Models. CDC (2018)
Rui Oliveira, Marcello Cirillo, Jonas Mårtensson, Bo Wahlberg
Combining Lattice-Based Planning and Path Optimization in Autonomous Heavy Duty Vehicle Applications. Intelligent Vehicles Symposium (2018)
Rui Oliveira, Pedro F. Lima, Marcello Cirillo, Jonas Mårtensson, Bo Wahlberg
Trajectory Generation using Sharpness Continuous Dubins-like Paths with Applications in Control of Heavy-Duty Vehicles. ECC (2018)
Huong Ha, James S. Welsh, Cristian R. Rojas, Bo Wahlberg
An analysis of the SPARSEVA estimate for the finite sample data case. Autom. 96 (2018)
Rui Oliveira, Pedro F. Lima, Marcello Cirillo, Jonas Mårtensson, Bo Wahlberg
Trajectory Generation using Sharpness Continuous Dubins-like Paths with Applications in Control of Heavy Duty Vehicles. CoRR (2018)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. IEEE Signal Process. Lett. 24 (12) (2017)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach. CoRR (2017)
Mogens Graf Plessen, Pedro F. Lima, Jonas Mårtensson, Alberto Bemporad, Bo Wahlberg
Trajectory Planning Under Vehicle Dimension Constraints Using Sequential Linear Programming. CoRR (2017)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. CoRR (2017)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Identification of hidden Markov models using spectral learning with likelihood maximization. CDC (2017)
Pedro F. Lima, Jonas Mårtensson, Bo Wahlberg
Stability conditions for linear time-varying model predictive control in autonomous driving. CDC (2017)
Afrooz Ebadat, Damiano Varagnolo, Giulio Bottegal, Bo Wahlberg, Karl Henrik Johansson
Application-oriented input design for room occupancy estimation algorithms. CDC (2017)
Pedro F. Lima, Mattias Nilsson, Marco Trincavelli, Jonas Mårtensson, Bo Wahlberg
Spatial Model Predictive Control for Smooth and Accurate Steering of an Autonomous Truck. IEEE Trans. Intell. Veh. 2 (4) (2017)
Linnea Persson, Tin Muskardin, Bo Wahlberg
Cooperative rendezvous of ground vehicle and aerial vehicle using model predictive control. CDC (2017)
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
Inverse Filtering for Hidden Markov Models. NIPS (2017)
Pedro F. Lima, Rui Oliveira, Jonas Mårtensson, Bo Wahlberg
Minimizing long vehicles overhang exceeding the drivable surface via convex path optimization. ITSC (2017)
Mogens Graf Plessen, Pedro F. Lima, Jonas Mårtensson, Alberto Bemporad, Bo Wahlberg
Trajectory planning under vehicle dimension constraints using sequential linear programming. ITSC (2017)
Robert Mattila, Antti Siika, Joy Roy, Bo Wahlberg
A Markov decision process model to guide treatment of abdominal aortic aneurysms. CCA (2016)
Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Bo Wahlberg
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering. IEEE Trans. Signal Process. 64 (24) (2016)
Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Bo Wahlberg
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering. CoRR (2016)
Pedro F. Lima, Marco Trincavelli, Mattias Nilsson, Jonas Mårtensson, Bo Wahlberg
Experimental evaluation of economic model predictive control for an autonomous truck. Intelligent Vehicles Symposium (2016)
Johan Ottersten, Bo Wahlberg, Cristian R. Rojas
Mean Filtering. IEEE Signal Process. Lett. 23 (2) (2016)
Robert Mattila, Antti Siika, Joy Roy, Bo Wahlberg
A Markov Decision Process Model to Guide Treatment of Abdominal Aortic Aneurysms. CoRR (2016)
Robert Mattila, Vikram Krishnamurthy, Bo Wahlberg
Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization. CDC (2015)
Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg
Approximate Regularization Paths for Nuclear Norm Minimization Using Singular Value Bounds - With Implementation and Extended Appendix. CoRR (2015)
Cristian R. Rojas, Bo Wahlberg
How to monitor and mitigate stair-casing in L1 trend filtering. ICASSP (2015)
Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg
Regularization Paths for Re-Weighted Nuclear Norm Minimization. IEEE Signal Process. Lett. 22 (11) (2015)
Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson
Blind identification strategies for room occupancy estimation. ECC (2015)
Per Hägg, Bo Wahlberg
On optimal input design for networked systems. Autom. 53 (2015)
Pedro F. Lima, Marco Trincavelli, Jonas Mårtensson, Bo Wahlberg
Clothoid-Based Speed Profiler and Control for Autonomous Driving. ITSC (2015)
Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Karl Henrik Johansson
Regularized Deconvolution-Based Approaches for Estimating Room Occupancies. IEEE Trans Autom. Sci. Eng. 12 (4) (2015)
Afrooz Ebadat, Giulio Bottegal, Marco Molinari, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson
Multi-room occupancy estimation through adaptive gray-box models. CDC (2015)
Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg
Approximate regularization paths for nuclear norm minimization using singular value bounds. SP/SPE (2015)
Pedro F. Lima, Marco Trincavelli, Jonas Mårtensson, Bo Wahlberg
Clothoid-based model predictive control for autonomous driving. ECC (2015)
Robert Mattila, Cristian R. Rojas, Bo Wahlberg
Evaluation of Spectral Learning for the Identification of Hidden Markov Models. CoRR (2015)
Afrooz Ebadat, Bo Wahlberg, Håkan Hjalmarsson, Cristian R. Rojas, Per Hägg, Christian A. Larsson
Applications Oriented Input Design in Time-Domain Through Cyclic Methods. CoRR (2014)
Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg
Approximate Regularization Path for Nuclear Norm Based H2 Model Reduction. CoRR (2014)
Afrooz Ebadat, Mariette Annergren, Christian A. Larsson, Cristian R. Rojas, Bo Wahlberg, Håkan Hjalmarsson, Mats Molander, Johan Sjöberg
Application set approximation in optimal input design for model predictive control. ECC (2014)
Cristian R. Rojas, Bo Wahlberg
How to monitor and mitigate stair-casing in l1 trend filtering. CoRR (2014)
Afrooz Ebadat, Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson, Bo Wahlberg
Applications oriented input design for closed-loop system identification: a graph-theory approach. CDC (2014)
Henrik Sandberg, Per Hägg, Bo Wahlberg
Approximative model reconstruction of cascade systems. Syst. Control. Lett. 69 (2014)
Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg
Approximate regularization path for nuclear norm based H2 model reduction. CDC (2014)
Bo Wahlberg, James S. Welsh, Lennart Ljung
Identification of wiener systems with process noise is a nonlinear errors-in-variables problem. CDC (2014)
Per Hägg, Bo Wahlberg
On Optimal Input Design for Feed-forward Control CoRR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bo Wahlberg