Novel sparseness-inducing dual Kalman filter and its application to tracking time-varying spatially-sparse structural stiffness changes and inputs

The FACTS model of speech motor control: Fusing state estimation and task-based control

(2019) Benjamin Parrell et al.   PLoS Computational Biology

Kalman filtered compressive sensing with intermittent observations

(2019) Hazhar Sufi Karimi et al.   SIGNAL PROCESSING

Deterministic Dynamic State Estimation-Based Optimal LFC for Interconnected Power Systems Using Unknown Input Observer

(2019) Hassan Haes Alhelou et al.   IEEE Transactions on Smart Grid

A marginalized unscented Kalman filter for efficient parameter estimation with applications to finite element models

(2018) Audrey Olivier et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination

(2018) Yong Huang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Multitask Sparse Bayesian Learning with Applications in Structural Health Monitoring

(2018) Yong Huang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

State estimation under non-Gaussian Lévy and time-correlated additive sensor noises: A modified Tobit Kalman filtering approach

(2018) Hang Geng et al.   SIGNAL PROCESSING

Adaptive substructure identification for shear structures with virtual control system

(2018) Dongyu Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Discontinuous Extended Kalman Filter for non-smooth dynamic problems

(2017) M.N. Chatzis et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application

(2017) Yong Huang et al.   STRUCTURAL SAFETY

Online updating and uncertainty quantification using nonstationary output-only measurement

(2016) Ka-Veng Yuen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery

(2016) Yong Huang et al.   PROBABILISTIC ENGINEERING MECHANICS

Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification

(2015) Ka-Veng Yuen et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

HIERARCHICAL SPARSE BAYESIAN LEARNING FOR STRUCUTRAL HEALTH MONITORING WITH INCOMPLETE MODAL DATA

(2015) Yong Huang et al.   International Journal for Uncertainty Quantification

Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring

(2013) Yong Huang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Online estimation of noise parameters for Kalman filter

(2013) Ka-Veng Yuen et al.   STRUCTURAL ENGINEERING AND MECHANICS

State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance

(2012) Johanna L. Mathieu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Kalman Filter for Robot Vision: A Survey

(2011) S. Y. Chen   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter

(2011) Vinay A. Bavdekar et al.   JOURNAL OF PROCESS CONTROL

Dynamic Updating for $\ell_{1}$ Minimization

(2010) M. Salman Asif et al.   IEEE Journal of Selected Topics in Signal Processing

Bayesian system identification based on probability logic

(2010) James L. Beck   Structural Control & Health Monitoring

Methods for Sparse Signal Recovery Using Kalman Filtering With Embedded Pseudo-Measurement Norms and Quasi-Norms

(2009) Avishy Carmi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Estimation of the disturbance structure from data using semidefinite programming and optimal weighting

(2008) Murali R. Rajamani et al.   AUTOMATICA