Bo Wahlberg

Orcid: 0000-0002-1927-1690

According to our database1, Bo Wahlberg authored at least 146 papers between 1990 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2007, "For contributions to system identification using orthonormal basis functions".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles.
IEEE Trans. Control. Syst. Technol., November, 2024

An optimization algorithm based on forward recursion with applications to variable horizon MPC.
Eur. J. Control, January, 2024

Nature-inspired dynamic control for pursuit-evasion of robots.
CoRR, 2024

Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors.
CoRR, 2024

Inverse Kalman filtering problems for discrete-time systems.
Autom., 2024

Distributed Strategies for Pursuit-Evasion of High-Order Integrators.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning.
CoRR, 2023

Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses.
CoRR, 2023

Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

An Efficient Implementation for Bayesian Manifold Regularization Method.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal Transport for Correctional Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Diagnosing and Repairing Feature Representations Under Distribution Shifts.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Inverse Kalman Filtering for Systems with Correlated Noises.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Biologically Inspired Computational Model of Time Perception.
IEEE Trans. Cogn. Dev. Syst., 2022

Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance.
CoRR, 2022

A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Autonomous Bus Driving: A Novel Motion-Planning Approach.
IEEE Veh. Technol. Mag., 2021

Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection.
J. Syst. Sci. Complex., 2021

Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems.
J. Syst. Sci. Complex., 2021

A teacher-student framework for online correctional learning.
CoRR, 2021

Aperiodic Communication for MPC in Autonomous Cooperative Landing.
CoRR, 2021

Learning Models of Model Predictive Controllers using Gradient Data.
CoRR, 2021

WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation.
Auton. Intell. Syst., 2021

Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems.
IEEE Trans. Signal Process., 2020

The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes].
IEEE Signal Process. Mag., 2020

Cooperative System Identification via Correctional Learning.
CoRR, 2020

A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles.
CoRR, 2020

Task-similarity Aware Meta-learning through Nonparametric Kernel Regression.
CoRR, 2020

On Training and Evaluation of Neural Network Approaches for Model Predictive Control.
CoRR, 2020

Optimization-Based On-Road Path Planning for Articulated Vehicles.
CoRR, 2020

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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Nonlinear Curvature Modeling for MPC of Autonomous Vehicles<sup>*</sup>.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations.
Proceedings of the 37th International Conference on Machine Learning, 2020

Teaching Robots to Perceive Time: A Twofold Learning Approach.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

Recursive Prediction of Graph Signals With Incoming Nodes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions.
IEEE Control. Syst. Lett., 2019

Teaching robots to perceive time - A reinforcement learning approach (Extended version).
CoRR, 2019

Learning sparse linear dynamic networks in a hyper-parameter free setting.
CoRR, 2019

What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.
CoRR, 2019

Path Planning for Autonomous Bus Driving in Urban Environments.
CoRR, 2019

Path Planning for Autonomous Bus Driving in Highly Constrained Environments.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Algorithms and Performance Analysis for Stochastic Wiener System Identification.
IEEE Control. Syst. Lett., 2018

An analysis of the SPARSEVA estimate for the finite sample data case.
Autom., 2018

Combining Lattice-Based Planning and Path Optimization in Autonomous Heavy Duty Vehicle Applications.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Progress Maximization Model Predictive Controller.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Verification of Cooperative Maneuvers in FlightGear using MPC and Backwards Reachable Sets.
Proceedings of the 16th European Control Conference, 2018

Trajectory Generation using Sharpness Continuous Dubins-like Paths with Applications in Control of Heavy-Duty Vehicles.
Proceedings of the 16th European Control Conference, 2018

Optimal motion planning for automated vehicles with scheduled arrivals at intersections.
Proceedings of the 16th European Control Conference, 2018

Linear Time-Varying Robust Model Predictive Control for Discrete-Time Nonlinear Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Inverse Filtering for Linear Gaussian State-Space Models.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Spatial Model Predictive Control for Smooth and Accurate Steering of an Autonomous Truck.
IEEE Trans. Intell. Veh., 2017

Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models.
IEEE Signal Process. Lett., 2017

Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach.
CoRR, 2017

Inverse Filtering for Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Trajectory planning under vehicle dimension constraints using sequential linear programming.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Minimizing long vehicles overhang exceeding the drivable surface via convex path optimization.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Cooperative rendezvous of ground vehicle and aerial vehicle using model predictive control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Identification of hidden Markov models using spectral learning with likelihood maximization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Stability conditions for linear time-varying model predictive control in autonomous driving.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Application-oriented input design for room occupancy estimation algorithms.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering.
IEEE Trans. Signal Process., 2016

Accurate Changing Point Detection for ℓ<sub>1</sub> Mean Filtering.
IEEE Signal Process. Lett., 2016

Experimental evaluation of economic model predictive control for an autonomous truck.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

A Markov decision process model to guide treatment of abdominal aortic aneurysms.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Regularized Deconvolution-Based Approaches for Estimating Room Occupancies.
IEEE Trans Autom. Sci. Eng., 2015

Regularization Paths for Re-Weighted Nuclear Norm Minimization.
IEEE Signal Process. Lett., 2015

Evaluation of Spectral Learning for the Identification of Hidden Markov Models.
CoRR, 2015

Approximate Regularization Paths for Nuclear Norm Minimization Using Singular Value Bounds - With Implementation and Extended Appendix.
CoRR, 2015

On optimal input design for networked systems.
Autom., 2015

Clothoid-Based Speed Profiler and Control for Autonomous Driving.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

How to monitor and mitigate stair-casing in L1 trend filtering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Clothoid-based model predictive control for autonomous driving.
Proceedings of the 14th European Control Conference, 2015

Blind identification strategies for room occupancy estimation.
Proceedings of the 14th European Control Conference, 2015

Approximate regularization paths for nuclear norm minimization using singular value bounds.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Multi-room occupancy estimation through adaptive gray-box models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Approximative model reconstruction of cascade systems.
Syst. Control. Lett., 2014

Applications Oriented Input Design in Time-Domain Through Cyclic Methods.
CoRR, 2014

Application set approximation in optimal input design for model predictive control.
Proceedings of the 13th European Control Conference, 2014

Identification of wiener systems with process noise is a nonlinear errors-in-variables problem.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Applications oriented input design for closed-loop system identification: a graph-theory approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Approximate regularization path for nuclear norm based H2 model reduction.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
ARMA Identification of Graphical Models.
IEEE Trans. Autom. Control., 2013

Application Set Approximation in Optimal Input Design for Model Predictive Control
CoRR, 2013

the KTH open testbed for smart HVAC control.
Proceedings of the BuildSys 2013, 2013

Estimation of building occupancy levels through environmental signals deconvolution.
Proceedings of the BuildSys 2013, 2013

Physics-based modeling and identification for HVAC systems?
Proceedings of the 12th European Control Conference, 2013

A sparse estimation technique for general model structures.
Proceedings of the 12th European Control Conference, 2013

On optimal input design for feed-forward control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Computing monotone policies for Markov decision processes by exploiting sparsity.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013

2012
On the Performance of Optimal Input Signals for Frequency Response Estimation.
IEEE Trans. Autom. Control., 2012

An ADMM Algorithm for Solving l_1 Regularized MPC
CoRR, 2012

Analyzing iterations in identification with application to nonparametric H<sub>∞</sub>-norm estimation.
Autom., 2012

Modeling and Control of Dual Arm Robotic Manipulators Using Decentralized Navigation Functions.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Towards more Efficient Building Energy Management Systems.
Proceedings of the Seventh International Conference on Knowledge, 2012

On asymptotic frequency response variance expressions for estimated output error models.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

An ADMM algorithm for solving ℓ1 regularized MPC.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
On optimal input signal design for identification of output error models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A least squares approach to direct frequency response estimation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On l1 mean and variance filtering.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
New Square-Root Factorization of Inverse Toeplitz Matrices.
IEEE Signal Process. Lett., 2010

Non-parametric methods for L<sub>2</sub>-gain estimation using iterative experiments.
Autom., 2010

On optimal input signal design for frequency response estimation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On optimal input design in system identification for control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On subspace identification of cascade structured systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Partially Observed Markov Decision Process Multiarmed Bandits - Structural Results.
Math. Oper. Res., 2009

Variance results for identification of cascade systems.
Autom., 2009

Input design using Markov chains for system identification.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Cascade structural model approximation of identified state space models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Variance analysis for identification of cascade systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
On The Relation Between Weighted Frequency-Domain Maximum-Likelihood Power Spectral Estimation and the Prefiltered Covariance Extension Approach.
IEEE Trans. Signal Process., 2007

Stabilization of Induction Motor Drives With Poorly Damped Input Filters.
IEEE Trans. Ind. Electron., 2007

2006
A method for grasp evaluation based on disturbance force rejection.
IEEE Trans. Robotics, 2006

2005
Introduction to the special issue on data-based modelling and system identification.
Autom., 2005

On frequency weighting in autoregressive spectral estimation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
Orthogonal Rational Functions: A Transformation Analysis.
SIAM Rev., 2003

Orthonormal Basis Functions in Time and Frequency Domain: Hambo Transform Theory.
SIAM J. Control. Optim., 2003

2001
A feedback control scheme for reversing a truck and trailer vehicle.
IEEE Trans. Robotics Autom., 2001

Finite dimensional algorithms for optimal scheduling of hidden Markov model sensors.
Proceedings of the IEEE International Conference on Acoustics, 2001

Algorithms for scheduling of hidden Markov model sensors.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Selection of Best Orthonormal Rational Basis.
SIAM J. Control. Optim., 2000

Continuous-Time Blind Channel Deconvolution Using Laguerre Shifts.
Math. Control. Signals Syst., 2000

Automatic tuning for classical step-response specifications using iterative feedback tuning.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999
Algorithms for time delay estimation using a low complexity exhaustive search.
IEEE Trans. Autom. Control., 1999

1998
LMS estimation via structural detection.
IEEE Trans. Signal Process., 1998

On Consistency of Subspace Methods for System Identification.
Autom., 1998

1997
Analysis of state space system identification methods based on instrumental variables and subspace fitting.
Autom., 1997

1996
A linear regression approach to state-space subspace system identification.
Signal Process., 1996

On approximation of stable linear dynamical systems using Laguerre and Kautz functions.
Autom., 1996

A test statistics for low complexity change detection in dynamic systems based on averaged filter models.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

On the problem of detection and discrimination of double talk and change in the echo path.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

On the problem of blind equalization considering abrupt changes in the channel characteristics.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
Blind equalization by direct examination of the input sequences.
IEEE Trans. Commun., 1995

1994
System identification using Kautz models.
IEEE Trans. Autom. Control., 1994

Statistical signal processing and control.
Autom., 1994

1993
Identification of linear systems: A practical guideline to accurate modeling: J. Schoukens and R. Pintelon.
Autom., 1993

1992
Robust source localization based on local array response modeling.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Robust signal parameter estimation in the presence of array perturbations.
Proceedings of the 1991 International Conference on Acoustics, 1991

A study of adaptive arrays for mobile communication systems.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
ARMA spectral estimation of narrow-band processes via model reduction.
IEEE Trans. Acoust. Speech Signal Process., 1990

The effects of rapid sampling in system identification.
Autom., 1990


  Loading...