Brett Ninness

University of Newcastle Australia — Australia

Engineering · Physical Sciences

35h-index5.3kcitations198works5.02yr avg
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Research Topics

Control Systems and Identification(135), Fault Detection and Control Systems(95), Structural Health Monitoring Techniques(38), Probabilistic and Robust Engineering Design(33), Target Tracking and Data Fusion in Sensor Networks(32)

Publications198 total

New smoothed-state estimation for correlated process and measurement noises
Control Theory and Technology·2025
Design of fractional-order hammerstein control auto-regressive model for heat exchanger system identification: Treatise on fuzzy-evolutionary computing
Chaos Solitons & Fractals·2024· 10 cited
Issue Information
International Journal of Adaptive Control and Signal Processing·2023Open Access
Issue Information
International Journal of Adaptive Control and Signal Processing·2023Open Access
Issue Information
International Journal of Adaptive Control and Signal Processing·2023Open Access
A Numerically Robust Bayesian Filtering Algorithm for Gaussian Mixture Models
IFAC-PapersOnLine·2023· 5 citedOpen Access
Smoothed State Estimation via Efficient Solution of Linear Equations
IEEE Transactions on Automatic Control·2022· 4 cited
Variational system identification for nonlinear state-space models
Automatica·2022· 10 cited
A new smoothing algorithm for jump Markov linear systems
Automatica·2022· 12 cited
Parameter estimation for Jump Markov Linear Systems
Automatica·2021· 21 cited
Variational State and Parameter Estimation
IFAC-PapersOnLine·2021Open Access
System Identification Software
Encyclopedia of Systems and Control·2021
Variational System Identification for Nonlinear State-Space Models
arXiv (Cornell University)·2020· 1 citedOpen Access
Variational Nonlinear System Identification.
arXiv (Cornell University)·2020Open Access
Practical Bayesian System Identification using Hamiltonian Monte Carlo
arXiv (Cornell University)·2020· 1 citedOpen Access
Expectation Maximization Based FitzHugh-Nagumo Model Identification Under Unknown Gaussian Measurement Noise
2020· 1 cited
Bayesian Parameter Identification for Jump Markov Linear Systems
arXiv (Cornell University)·2020Open Access
A New Smoothing Algorithm for Jump Markov Linear Systems
arXiv (Cornell University)·2020Open Access
A Variational Expectation-Maximisation Algorithm for Learning Jump\n Markov Linear Systems
arXiv (Cornell University)·2020· 1 citedOpen Access
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems
arXiv (Cornell University)·2020Open Access
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Frequent Co-authors

Adrian Wills(19), Thomas B. Schön(7), Graham C. Goodwin(5), Stuart Gibson(5), Håkan Hjalmarsson(5), Hüseyin Akçay(5), Adam J. Mills(4), Fredrik Gustafsson(3), Soren Henriksen(3), Lennart Ljung(2), Paul M.J. Van den Hof(2), Andrew J. Fleming(2), S. O. Reza Moheimani(2), Geoff Knagge(2), Syed Islam(2), M. Gevers(1), Bo Wahlberg(1), Peter S.C. Heuberger(1), J. Bokor(1), Tomás Oliveira e Silva(1)