Bo Wahlberg

Q: What Schools Are Affiliated With Bo Wahlberg

Bo Wahlberg is affiliated with the following schools: Stockholm University, Chalmers University of Technology, KTH Royal Institute of Technology

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Bo Wahlberg

Engineering

#6401

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#7726

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Electrical Engineering

#1901

World Rank

#2003

Historical Rank

Applied Physics

#2036

World Rank

#2073

Historical Rank

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Bo Wahlberg's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

System identification using Laguerre models (1991) (794)
System identification using Kautz models (1994) (378)
Modelling and Identification with Rational Orthogonal Basis Functions (2000) (358)
An adaptive array for mobile communication systems (1991) (306)
On approximation of stable linear dynamical systems using Laguerre and Kautz functions (1996) (239)
An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems (2012) (231)
Hard frequency-domain model error bounds from least-squares like identification techniques (1992) (210)
Design variables for bias distribution in transfer function estimation (1986) (206)
On Consistency of Subspace Methods for System Identification (1998) (137)
Analysis of state space system identification methods based on instrumental variables and subspace fitting (1997) (131)
A feedback control scheme for reversing a truck and trailer vehicle (2001) (117)
A linear regression approach to state-space subspace system identification (1996) (106)
Stabilization of Induction Motor Drives With Poorly Damped Input Filters (2007) (100)
LMS estimation via structural detection (1998) (95)
Asymptotic properties of the least-squares method for estimating transfer functions and disturbance spectra (1992) (91)
Construction and Analysis (2005) (81)
Model reductions of high-order estimated models : the asymptotic ML approach (1989) (77)
Estimation of building occupancy levels through environmental signals deconvolution (2013) (72)
On the Identification and Approximation of Linear Systems (1987) (70)
Limit results for sampled systems (1988) (69)
Asymptotic Properties of the Least Squares Method for Estimating Transfer Functions and Disturbance Spectra (1992) (62)
Robust signal parameter estimation in the presence of array perturbations (1991) (61)
Non-parametric methods for L2-gain estimation using iterative experiments (2010) (60)
Clothoid-based model predictive control for autonomous driving (2015) (56)
A statistical perspective on state-space modeling using subspace methods (1991) (53)
An ADMM algorithm for solving ℓ1 regularized MPC (2012) (51)
Blind equalization by direct examination of the input sequences (1992) (50)
On change point detection using the fused lasso method (2014) (48)
Identification of resonant systems using Kautz filters (1991) (46)
Partially Observed Markov Decision Process Multiarmed Bandits - Structural Results (2009) (45)
Performance of Subspace Based State-Space System Identification Methods (1993) (44)
On Model Simplification in System Identification (1985) (43)
Analyzing iterations in identification with application to nonparametric H∞-norm estimation (2012) (41)
Regularized Deconvolution-Based Approaches for Estimating Room Occupancies (2015) (41)
Spatial Model Predictive Control for Smooth and Accurate Steering of an Autonomous Truck (2017) (41)
Constrained predictive control using orthogonal expansions (1993) (40)
Application-Oriented Input Design in System Identification: Optimal Input Design for Control [Applications of Control] (2017) (40)
Parametric Signal Modelling using Laguerre Filters (1993) (40)
On Estimation of Transfer Function Error Bounds (1991) (40)
The effects of rapid sampling in system identification (1990) (38)
Variance results for identification of cascade systems (2009) (37)
A method for grasp evaluation based on disturbance force rejection (2006) (36)
On optimal input design in system identification for control (2010) (35)
Convergence rates for inverse Toeplitz matrix forms (1989) (34)
ARMA Identification of Graphical Models (2013) (34)
On the Construction of Orthonormal Basis Functions for System Identification (1996) (32)
On Some Robustness Issues in Input Design (2006) (30)
Physics-based modeling and identification for HVAC systems? (2013) (29)
Laguerre and Kautz Models (1994) (29)
Some asymptotic results in recursive identification using Laguerre models (1990) (28)
On Model Reduction in System Identification (1986) (27)
System identification (SYSID '03) : a proceedings volume from the 13th IFAC Symposium on System Identification, Rotterdam, the Netherlands, 27-29 August 2003 (2004) (27)
Estimation Of Autoregressive Moving‐Average Models Via High‐Order Autoregressive Approximations (1989) (26)
Orthonormal Basis Functions in Time and Frequency Domain: Hambo Transform Theory (2003) (26)
4SID linear regression (1994) (26)
Experimental validation of model predictive control stability for autonomous driving (2018) (24)
On sampling of continuous time stochastic processes (1993) (24)
Trajectory planning under vehicle dimension constraints using sequential linear programming (2017) (24)
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering (2016) (23)
Performance of Subspace-Based System Identification Methods (1993) (22)
Thresholding in high order transfer function estimation (1994) (22)
Clothoid-Based Speed Profiler and Control for Autonomous Driving (2015) (21)
Applications of Kautz Models in System Identification (1993) (21)
Experimental and theoretical comparison of some algorithms for beamforming in single receiver adaptive arrays (1991) (20)
Introduction to the special issue on data-based modelling and system identification (2005) (19)
Selection of Best Orthonormal Rational Basis (2000) (19)
Combining Lattice-Based Planning and Path Optimization in Autonomous Heavy Duty Vehicle Applications (2018) (19)
Model Predictive Control for Autonomous Ship Landing in a Search and Rescue Scenario (2019) (19)
Experiences from Subspace System Identification - Comments from Process Industry Users and Researchers (2007) (19)
Modelling and Identification with Orthogonal Basis Functions (1997) (18)
System identification using high-order models, revisited (1989) (18)
Blind identification strategies for room occupancy estimation (2015) (17)
Input design using Markov chains for system identification (2009) (17)
On the problem of detection and discrimination of double talk and change in the echo path (1996) (17)
Inverse Filtering for Hidden Markov Models (2017) (17)
Application set approximation in optimal input design for model predictive control (2013) (16)
On the Performance of Optimal Input Signals for Frequency Response Estimation (2012) (15)
An algorithm for selection of best orthonormal rational basis (1997) (15)
Algorithms for time delay estimation using a low complexity exhaustive search (1999) (15)
On the Identification of Continuous Time Dynamical Systems (1988) (15)
A least squares approach to direct frequency response estimation (2011) (14)
A Value Iteration Algorithm for Partially Observed Markov Decision Process Multi-armed Bandits (2004) (14)
Trajectory Generation using Sharpness Continuous Dubins-like Paths with Applications in Control of Heavy-Duty Vehicles (2018) (14)
Robust frequency domain fault detection/diagnosis (1990) (14)
Counterexample to General Consistency of Subspace System Identification Methods (1997) (14)
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems (2020) (14)
On optimal input signal design for frequency response estimation (2010) (13)
Finite dimensional algorithms for optimal scheduling of hidden Markov model sensors (2001) (13)
VALIDATION OF STABILITY FOR AN INDUCTION MACHINE DRIVE USING POWER ITERATIONS (2005) (13)
Towards more Efficient Building Energy Management Systems (2012) (13)
Ongoing projects (1998) (13)
On l1 mean and variance filtering (2011) (13)
Identification of wiener systems with process noise is a nonlinear errors-in-variables problem (2014) (13)
Stability conditions for linear time-varying model predictive control in autonomous driving (2017) (13)
A distributed primal-dual interior-point method for loosely coupled problems using ADMM (2014) (13)
A bayesian approach to fault isolation - Structure estimation and inference (2006) (13)
Subspace Hammerstein Model Identification under Periodic Disturbance (2018) (13)
Application of Iterative Feedback Tuning to a Thermal Cycling Module (1999) (13)
On Identification of Cascade Systems (2008) (12)
Cascade structural model approximation of identified state space models (2008) (12)
ARMA spectral estimation of narrow-band processes via model reduction (1990) (12)
Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions (2019) (12)
Identification of Stochastic Wiener Systems using Indirect Inference (2015) (12)
On Consistency of Subspace System Identification Methods (1996) (12)
How to monitor and mitigate stair-casing in L1 trend filtering (2014) (12)
Gain estimation for Hammerstein systems (2006) (11)
Automatic tuning for classical step-response specifications using iterative feedback tuning (2000) (11)
Influence of Model Order on Change Detection in Noise-Free, Complex System (1990) (11)
On Identification of Parallel Cascade Serial Systems (2011) (11)
Cooperative rendezvous of ground vehicle and aerial vehicle using model predictive control (2017) (11)
Multi-room occupancy estimation through adaptive gray-box models (2015) (11)
Improved LMS estimation via structural detection (1995) (10)
On the Use of Orthogonalized Exponentials in System Identification (1990) (10)
ON OPTIMAL INPUT DESIGN IN SYSTEM IDENTIFICATION1 (2006) (10)
Inverse Filtering for Linear Gaussian State-Space Models (2018) (10)
Three Decades of Progress in Control Sciences: Dedicated to Chris Byrnes and Anders Lindquist (2014) (9)
On subspace identification of cascade structured systems (2010) (9)
On optimal input signal design for identification of output error models (2011) (9)
Applications Oriented Input Design in Time-Domain Through Cyclic Methods (2014) (9)
A primal-dual interior-point method for iterative feedback tuning (1999) (9)
Approximate Modeling by Means of Orthonormal Functions (1991) (9)
Validation of Stability for an Induction Machine Drive Using Experiments 1 (2003) (9)
On The Relation Between Weighted Frequency-Domain Maximum-Likelihood Power Spectral Estimation and the Prefiltered Covariance Extension Approach (2007) (8)
Model Predictive Control oriented experiment design for system identification: A graph theoretical approach (2017) (8)
Path Planning for Autonomous Bus Driving in Highly Constrained Environments (2019) (8)
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression (2020) (8)
Modelling and Control of Series HEVs Including Resistive Losses and Varying Engine Efficiency (2009) (8)
Accurate Changing Point Detection for ℓ1 Mean Filtering (2016) (8)
On Weighting in State-Space Subspace System Identification (1995) (8)
A sparse estimation technique for general model structures (2013) (7)
On optimal input design for networked systems (2015) (7)
A study of adaptive arrays for mobile communication systems (1991) (7)
Input Signal Generation for Constrained Multiple-Input Multple-Output Systems (2014) (7)
Progress Maximization Model Predictive Controller (2018) (7)
FAULT DETECTION USING REDUNDANT NAVIGATION MODULES (2006) (7)
Minimizing long vehicles overhang exceeding the drivable surface via convex path optimization (2017) (7)
Rule-Based Control of Series HEVs Derived from Deterministic Dynamic Programming (2008) (7)
Approximate regularization paths for nuclear norm minimization using singular value bounds (2015) (7)
Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm (2020) (7)
Approximate regularization path for nuclear norm based H2 model reduction (2014) (7)
On estimation of the gain of a dynamical system (2011) (7)
Optimization-Based On-Road Path Planning for Articulated Vehicles (2020) (6)
Design Variables for Bias Distribution in Transfer Function Estimation. Version II (1984) (6)
Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization (2015) (6)
On Simultaneous System and Input Sequence Estimation (1992) (6)
Data-Driven Methods for L2-Gain Estimation (2009) (6)
Verification of Cooperative Maneuvers in FlightGear using MPC and Backwards Reachable Sets (2018) (6)
the KTH open testbed for smart HVAC control (2013) (6)
A Markov decision process model to guide treatment of abdominal aortic aneurysms (2016) (6)
Optimal motion planning for automated vehicles with scheduled arrivals at intersections (2018) (6)
Robust source localization based on local array response modeling (1992) (5)
Sparse Estimation Techniques for Basis Function Selection in Wideband System Identification (2012) (5)
Algorithms and Performance Analysis for Stochastic Wiener System Identification (2018) (5)
Variance analysis for identification of cascade systems (2008) (5)
Applications oriented input design for closed-loop system identification: a graph-theory approach (2014) (5)
Evaluation of Spectral Learning for the Identification of Hidden Markov Models (2015) (5)
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models (2017) (5)
Cooperative System Identification via Correctional Learning (2020) (5)
Orthogonal Rational Functions: A Transformation Analysis (2003) (5)
Recursive Prediction of Graph Signals With Incoming Nodes (2019) (5)
Reweighted nuclear norm regularization: A SPARSEVA approach (2015) (5)
A control perspective on optimal input design in system identification (2006) (5)
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making (2020) (5)
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems (2019) (5)
Linear Time-Varying Robust Model Predictive Control for Discrete-Time Nonlinear Systems* (2018) (5)
Distributed Model Predictive Control for Cooperative Landing (2020) (5)
Orthonormal basis functions models: A transformation analysis (1999) (5)
Experimental evaluation of economic model predictive control for an autonomous truck (2016) (5)
Computing monotone policies for Markov decision processes by exploiting sparsity (2013) (5)
A Wavelet Shrinkage Approach for Frequency Response Estimation (1994) (5)
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles (2020) (4)
Graphical Models of Autoregressive Moving-Average Processes (2010) (4)
On optimal input design for feed-forward control (2013) (4)
On estimation of cascade systems with common dynamics (2009) (4)
Approximative model reconstruction of cascade systems (2014) (4)
Identification of hidden Markov models using spectral learning with likelihood maximization (2017) (4)
New Square-Root Factorization of Inverse Toeplitz Matrices (2010) (3)
Aperiodic Communication for MPC in Autonomous Cooperative Landing (2021) (3)
Fast Expansion Coefficient Calculation for Best Orthonormal Rational Basis (1998) (3)
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. (2020) (3)
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach (2017) (3)
WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation (2021) (3)
Connections Between System Identification and Model Reduction (1985) (3)
Accurate Changing Point Detection for ${\ell _1}$ Mean Filtering (2016) (3)
Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection (2021) (3)
Low complexity parameter estimation approach for fast time-delay estimation (1997) (3)
A frequency response estimation method based on smoothing and thresholding (1998) (3)
A test statistics for low complexity change detection in dynamic systems based on averaged filter models (1996) (3)
Factorizations that relax the positive real condition in continuous‐time and fast‐sampled ELS schemes (1990) (3)
On sampling and reconstruction of continuous time stochastic systems (1992) (3)
Nonlinear Curvature Modeling for MPC of Autonomous Vehicles* (2020) (3)
Path Planning for Autonomous Bus Driving in Urban Environments (2019) (3)
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations (2020) (2)
Estimation of Noise Models by Means of Discrete Laguerre/Kautz Filters (1992) (2)
Regularization Paths for Re-Weighted Nuclear Norm Minimization (2015) (2)
Observers Data Only Fault Detection ? (2009) (2)
On Affecting the Frequency Domain Model Error Distribution in Autoregressive Spectral Estimation using Prefiltering (2)
A data driven orthonormal parameterization of the generalized entropy maximization problem (2004) (2)
Teaching Robots to Perceive Time: A Twofold Learning Approach (2020) (2)
On frequency weighting in autoregressive spectral estimation (2005) (2)
Autonomous Bus Driving: A Novel Motion-Planning Approach (2021) (2)
Applications Oriented Optimal Input Design: An Analysis of a quadruple water tank process Laureando (2)
Application-oriented input design for room occupancy estimation algorithms (2017) (2)
LMS estimation of sparsely parametrized channels via structural detection (1994) (2)
ARMA Spectral Estimation via Model Reduction (1986) (2)
Variable Prediction Horizon Control for Cooperative Landing on Moving Target (2021) (2)
Algorithms for scheduling of hidden Markov model sensors (2001) (2)
On Training and Evaluation of Neural Network Approaches for Model Predictive Control (2020) (2)
Identification of linear systems: A practical guideline to accurate modeling: J. Schoukens and R. Pintelon (1993) (2)
Continuous-Time Blind Channel Deconvolution Using Laguerre Shifts (2000) (2)
On asymptotic frequency response variance expressions for estimated output error models (2012) (2)
Observers Data Only Fault Detectio (2009) (2)
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning* (2021) (2)
Factorizations that Relax the Positive Real Condition in Continuous-time ELS Schemes (1990) (1)
An analysis of the SPARSEVA estimate for the finite sample data case (2017) (1)
On iterative feedback tuning and disturbance rejection using simple noise models (2005) (1)
On Iterative/Adaptive Robust Control (1996) (1)
Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing [Bookshelf] (2019) (1)
GNSS Receiver Based Navigation of Satellites in Geotransfer Orbits (2015) (1)
Comments on "Experimental and theoretical comparison of some algorithms for beamforming in single receiver adaptive arrays" [with reply] (1995) (1)
Teaching robots to perceive time - A reinforcement learning approach (Extended version) (2019) (1)
On the problem of blind equalization using a stochastic differential calculus approach (1996) (1)
Analysis of a low-complexity change detection scheme (2000) (1)
Sensor Fusion for Mobile Robot Navigation A First Subjective Discussion (2004) (1)
Learning Models of Model Predictive Controllers using Gradient Data (2021) (1)
An Optimal Gender‐Specific Treatment Policy for Abdominal Aortic Aneurysms Constructed Using a Markov Decision Process Model: PC136 (2017) (1)
A Branch and Bound Approach to System Identification based on Fixed-rank Hankel Matrix Optimization (2018) (1)
Identifiability in Blind Equalization (1993) (1)
Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance* (2022) (1)
13th IFAC Symposium on System Identification : 27 - 29 August 2003, Rotterdam, The Netherlands. Preprints (2003) (1)
Model reduction of estimated models (1988) (1)
Data-Driven Methods for L 2 -Gain Estimation (2009) (1)
A teacher-student framework for online correctional learning (2021) (1)
A Biologically Inspired Computational Model of Time Perception (2022) (1)
Adaptive reference aware MPC for lateral control of autonomous vehicles (2023) (1)
Estimation of ARMA models for narrow band processes (1988) (1)
Applied Nonlinear Control Slotine Solution Manual (2014) (0)
"Subspace" identifiering via linjär regression (1994) (0)
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning (2023) (0)
MRLAB : A PC-Matlab Package for Model Reduction (1987) (0)
Optimal Transport for Correctional Learning (2023) (0)
IDENTIFICATION OF RESONANT SYSTEMS USING (2005) (0)
Source localization in the precence of model uncetainties (1992) (0)
Travel Report : A Post Doctoral Year in "Oz" (1989) (0)
Projects in Optimal Filtering (1991) (0)
On the Properties of Iterative Schemes (2010) (0)
Analyzing Iterations in Identification with application to Nonparametric H-infinity-norm Estimation (2011) (0)
Connections between Continuous Time and Discrete Time Prediction Error Criteria in System Identification (1984) (0)
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control (2023) (0)
The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes] (2020) (0)
On spectral analysis using models with pre-specified zeros (2003) (0)
Analyzing Iterations in Identification with Application to Nonparametric $mathcal{H}_infty$-Norm Estimation (2011) (0)
On a simplified modelling approach to SMB process for use in optimization (2003) (0)
The Power of Continuation—CSS Quarter Century Members (2009) (0)
Assessing model quality from data (1991) (0)
Direct Identification Procedures in Beamforming (1989) (0)
On Identification of Cascade Systems 1 (2007) (0)
Multi-Sensor Data Fusion for a LongReach Robot (2010) (0)
On adaptive/iterative robust control (1996) (0)
Identification II . Discrete event systems (1997) (0)
Hollander Interchange Manual: Identification (1997) (0)
Modeling and Control of Dual Arm Robotic Manipulators Using Decentralized Navigation Functions (2012) (0)
Modeling, identification, signal processing II, adaptive control (1999) (0)
On the problem of blind equalization considering abrupt changes in the channel characteristics (1996) (0)
Connections between Frequency Domain Validity Criteria and Time Domain Identification Methods (1983) (0)
Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses (2023) (0)
Advanced Detectors for Multi-User Wireless Communications (1999) (0)
Source Localization in the Presence of Model Uncertainties (1992) (0)
Modeling, identification, signal processing I (1999) (0)
Laguerre and Kautz models : semi-plenary (1994) (0)
Control loop performance monitoring by CUSUM algorithms for local linear hypothesis (2003) (0)
Iterative refinement of model predictive control (1994) (0)
Statistical signal processing and control (1994) (0)
On the Relation Between Subspace Based Estimation and Maximum Likelihood (1991) (0)
Learning sparse linear dynamic networks in a hyper-parameter free setting (2019) (0)
Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems (2021) (0)
Adaptive Control using A Priori Knowledge (1991) (0)
2 Construction and Analysis (2020) (0)

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What Schools Are Affiliated With Bo Wahlberg?

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Bo Wahlberg's Academic­Influence.com Rankings

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Bo Wahlberg's Published Works

Published Works

Other Resources About Bo Wahlberg

What Schools Are Affiliated With Bo Wahlberg?

Bo Wahlberg's AcademicInfluence.com Rankings