Brett Ninness

86 papers B 3C 3Misc 4Journal 55Unranked 20
YearRankTypeTitle / Venue / Authors
2023 J jnl
Smoothed State Estimation via Efficient Solution of Linear Equations.
IEEE Trans. Autom. Control.
Li-Hui Geng, Adrian G. Wills, Brett Ninness, Thomas B. Schön
2023 J jnl
Variational system identification for nonlinear state-space models.
Autom.
Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness
2022 J jnl
A new smoothing algorithm for jump Markov linear systems.
Autom.
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
2022 J jnl
Data to Controller for Nonlinear Systems: An Approximate Solution.
IEEE Control. Syst. Lett.
Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
2022 J jnl
Parameter estimation for Jump Markov Linear Systems.
Autom.
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
2021 J jnl
Data to Controller for Nonlinear Systems: An Approximate Solution.
CoRR
Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
2020 J jnl
A New Smoothing Algorithm for Jump Markov Linear Systems.
CoRR
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
2020 J jnl
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems.
CoRR
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
2020 J jnl
Bayesian Parameter Identification for Jump Markov Linear Systems.
CoRR
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
2020 J jnl
Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters.
IEEE Trans. Signal Process.
Arnfinn Aas Eielsen, John Leth, Andrew J. Fleming, Adrian G. Wills, Brett Ninness
2020 J jnl
Practical Bayesian System Identification using Hamiltonian Monte Carlo.
CoRR
Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin
2020 J jnl
Variational Nonlinear System Identification.
CoRR
Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness
2020 J jnl
Variational State and Parameter Estimation.
CoRR
Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness
2018 — conf
Accurate Gaussian Mixture Model Smoothing using a Two-Filter Approach.
CDC
Mark P. Balenzuela, Johan Dahlin, Nathan Bartlett, Adrian G. Wills, Christopher Renton, Brett Ninness
2018 — conf
Distributed Estimation in Networks of Linear Time-invariant Systems.
ICCA
Mohsen Zamani, Damián Marelli, Brett Ninness, Minyue Fu
2018 J jnl
Distributed Kalman filter in a network of linear systems.
Syst. Control. Lett.
Damián Marelli, Mohsen Zamani, Minyue Fu, Brett Ninness
2017 J jnl
A Bayesian Filtering Algorithm for Gaussian Mixture Models.
CoRR
Adrian G. Wills, Johannes N. Hendriks, Christopher Renton, Brett Ninness
2016 C conf
A nonlinear programming approach to exposure optimization in scanning laser lithography.
ACC
Andrew J. Fleming, Adrian Wills, Omid T. Ghalehbeygi, Ben Routley, Brett Ninness
2016 Misc conf
Compensation of attacks on consensus networks.
ICASSP
Mohsen Zamani, Alireza Khosravian, Brett Ninness
2016 — conf
On the reachability property for networks of linear time-invariant subsystems.
AuCC
Mohsen Zamani, Brett Ninness, Daniel E. Quevedo
2015 — conf
An improved square-root algorithm for RTS Kalman smoothing.
ICIA
Li-Hui Geng, Brett Ninness, Ze-Yu Xia
2015 J jnl
Asymptotic Optimality of the Maximum-Likelihood Kalman Filter for Bayesian Tracking With Multiple Nonlinear Sensors.
IEEE Trans. Signal Process.
Damián Marelli, Minyue Fu, Brett Ninness
2015 J jnl
On the Reachability of Networked Systems.
CoRR
Mohsen Zamani, Brett Ninness, Daniel E. Quevedo
2015 — conf
Parallel MCMC algorithm for bayesian system identification.
CDC
Khoa T. Tran, Brett Ninness
2015 C conf
Reunderstanding slice sampling as parallel MCMC.
CCA
Khoa T. Tran, Brett Ninness
2015 — ch.
System Identification Software.
Encyclopedia of Systems and Control
Brett Ninness
2014 — conf
A novel input design approach for systems with quantized output data.
ECC
Boris I. Godoy, Patricio E. Valenzuela, Cristian R. Rojas, Juan C. Agüero, Brett Ninness
2014 — conf
Bayesian dynamic system estimation.
CDC
Brett Ninness, Khoa T. Tran, Christopher M. Kellett
2013 J jnl
Identification of Hammerstein-Wiener models.
Autom.
Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness
2012 J jnl
Fast Linear Model Predictive Control Via Custom Integrated Circuit Architecture.
IEEE Trans. Control. Syst. Technol.
Adrian G. Wills, Geoff Knagge, Brett Ninness
2011 J jnl
System identification of nonlinear state-space models.
Autom.
Thomas B. Schön, Adrian Wills, Brett Ninness
2010 J jnl
Bayesian system identification via Markov chain Monte Carlo techniques.
Autom.
Brett Ninness, Soren J. Henriksen
2010 J jnl
Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions".
Eur. J. Control
Brett Ninness, Adrian Wills, Hüseyin Akçay
2010 — conf
Estimating state-space models in innovations form using the expectation maximisation algorithm.
CDC
Adrian Wills, Thomas B. Schön, Brett Ninness
2010 — conf
Estimation of general nonlinear state-space systems.
CDC
Brett Ninness, Adrian Wills, Thomas B. Schön
2009 J jnl
A VLSI 8 × 8 MIMO Near-ML Detector with Preprocessing.
J. Signal Process. Syst.
Geoff Knagge, Mark Bickerstaff, Brett Ninness, Steven R. Weller, Graeme Woodward
2009 — conf
ASIC and FPGA implementation strategies for Model Predictive Control.
ECC
Geoff Knagge, Adrian Wills, Adam Mills, Brett Ninness
2009 J jnl
Maximum Likelihood Estimation of State Space Models From Frequency Domain Data.
IEEE Trans. Autom. Control.
Adrian Wills, Brett Ninness, Stuart Gibson
2009 C conf
Nonlinear model predictive control of an inverted pendulum.
ACC
Adam Mills, Adrian Wills, Brett Ninness
2008 B conf
A 4×4 FPGA-based wireless testbed for LTE applications.
PIMRC
Dale Bates, Soren J. Henriksen, Brett Ninness, Steven R. Weller
2008 J jnl
Convergence of Markov-Chain Monte-Carlo Approaches to Multiuser and MIMO Detection.
IEEE J. Sel. Areas Commun.
Soren J. Henriksen, Brett Ninness, Steven R. Weller
2008 J jnl
Model Predictive Control Applied to Constraint Handling in Active Noise and Vibration Control.
IEEE Trans. Control. Syst. Technol.
Adrian G. Wills, Dale Bates, Andrew J. Fleming, Brett Ninness, S. O. Reza Moheimani
2008 J jnl
On Gradient-Based Search for Multivariable System Estimates.
IEEE Trans. Autom. Control.
Adrian Wills, Brett Ninness
2008 J jnl
Time-Scale Modification of Speech Signals.
IEEE Trans. Signal Process.
Brett Ninness, Soren J. Henriksen
2006 — conf
A VLSI 8×8 MIMO Near-ML Decoder Engine.
SiPS
Geoff Knagge, Mark Bickerstaff, Brett Ninness, Steven R. Weller, Graeme Woodward
2006 J jnl
Least-squares estimation of a class of frequency functions: A finite sample variance expression.
Autom.
Håkan Hjalmarsson, Brett Ninness
2005 J jnl
Analysis of the variability of joint input-output estimation methods.
Autom.
Brett Ninness, Håkan Hjalmarsson
2005 — conf
Application of MPC to an active structure using sampling rates up to 25kHz.
CDC/ECC
Adrian Wills, Dale Bates, Andrew J. Fleming, Brett Ninness, S. O. Reza Moheimani
2005 J jnl
Maximum-likelihood parameter estimation of bilinear systems.
IEEE Trans. Autom. Control.
Stuart Gibson, Adrian Wills, Brett Ninness
2005 J jnl
On the frequency domain accuracy of closed-loop estimates.
Autom.
Brett Ninness, Håkan Hjalmarsson
2005 J jnl
Robust maximum-likelihood estimation of multivariable dynamic systems.
Autom.
Stuart Gibson, Brett Ninness
2004 B conf
An optimised parallel tree search for multiuser detection with VLSI implementation strategy.
GLOBECOM
Geoff Knagge, Graeme Woodward, Steven R. Weller, Brett Ninness
2004 — conf
Closed form frequency domain expressions for best achievable accuracy of spectral density estimation.
ICASSP (2)
Brett Ninness
2004 J jnl
On the CRLB for combined model and model-order estimation of stationary stochastic processes.
IEEE Signal Process. Lett.
Brett Ninness
2004 J jnl
The Waterbed Effect in Spectral Estimation.
IEEE Signal Process. Mag.
Petre Stoica, Jian Li, Brett Ninness
2004 J jnl
The effect of regularization on variance error.
IEEE Trans. Autom. Control.
Brett Ninness, Håkan Hjalmarsson
2004 J jnl
Variance error quantifications that are exact for finite-model order.
IEEE Trans. Autom. Control.
Brett Ninness, Håkan Hjalmarsson
2003 J jnl
Discussion on: "Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties".
Eur. J. Control
Brett Ninness
2003 — conf
On the frequency domain accuracy of closed loop estimates.
CDC
Brett Ninness, Håkan Hjalmarsson
2003 J jnl
The asymptotic CRLB for the spectrum of ARMA processes.
IEEE Trans. Signal Process.
Brett Ninness
2003 — conf
Variance error quantifications that are exact for finite model order.
CDC
Brett Ninness, Håkan Hjalmarsson
2002 J jnl
Quantifying the accuracy of Hammerstein model estimation.
Autom.
Brett Ninness, Stuart Gibson
2002 — conf
System identification via a computational Bayesian approach.
CDC
Brett Ninness, Soren J. Henriksen, Thomas S. Brinsmead
2001 J jnl
Sampling zeros and the Euler-Frobenius polynomials.
IEEE Trans. Autom. Control.
Steven R. Weller, William Moran, Brett Ninness, A. D. Pollington
2000 — conf
Asymptotic properties of Hammerstein model estimates.
CDC
Dietmar Bauer, Brett Ninness
2000 B conf
Performance aspects of linear multiuser receivers.
GLOBECOM
Brett Ninness, Steven R. Weller
2000 J jnl
Strong laws of large numbers under weak assumptions with application.
IEEE Trans. Autom. Control.
Brett Ninness
2000 — conf
The relationship between state space subspace identification methods and the EM method.
CDC
Stuart Gibson, Brett Ninness
2000 Misc conf
Time and frequency scale modification of speech signals.
ICASSP
Brett Ninness, Soren J. Henriksen
1999 J jnl
Orthonormal Basis Functions for Continuous-Time Systems and L
Math. Control. Signals Syst.
Hüseyin Akçay, Brett Ninness
1999 — conf
Orthonormal basis functions for continuous-time systems: Completeness and Lp-convergence.
ECC
Hüseyin Akçay, Brett Ninness
1999 J jnl
Orthonormal basis functions for modelling continuous-time systems.
Signal Process.
Hüseyin Akçay, Brett Ninness
1999 — conf
Signal spectra and conditioning when using orthonormal parameterisation.
ECC
Brett Ninness, Håkan Hjalmarsson
1999 J jnl
Subspace-based identification of power transformer models from frequency response data.
IEEE Trans. Instrum. Meas.
Hüseyin Akçay, Syed Mofizul Islam, Brett Ninness
1999 J jnl
The fundamental role of general orthonormal bases in system identification.
IEEE Trans. Autom. Control.
Brett Ninness, Håkan Hjalmarsson, Fredrik Gustafsson
1998 J jnl
A Stochastic Approach to Linear Estimation in H
Autom.
Brett Ninness
1998 J jnl
Estimation of 1/f Noise.
IEEE Trans. Inf. Theory
Brett Ninness
1998 Misc conf
Fast, non-iterative estimation of hidden Markov models.
ICASSP
Håkan Hjalmarsson, Brett Ninness
1998 J jnl
Frequency domain analysis of tracking and noise performance of adaptive algorithms.
IEEE Trans. Signal Process.
Brett Ninness, Juan Carlos Gomez
1998 J jnl
Identification of power transformer models from frequency response data: A case study.
Signal Process.
Hüseyin Akçay, Syed Mofizul Islam, Brett Ninness
1998 Misc conf
Quantifying the accuracy of adaptive tracking algorithms.
ICASSP
Brett Ninness, Juan Carlos Gomez
1998 J jnl
Rational Basis Functions for Robust Identification from Frequency and Time-Domain Measurements.
Autom.
Hüseyin Akçay, Brett Ninness
1997 J jnl
A unifying construction of orthonormal bases for system identification.
IEEE Trans. Autom. Control.
Brett Ninness, Fredrik Gustafsson
1997 J jnl
Stochastic processes, estimation, and control: The entropy approach : By George N. Saridis.
Autom.
Brett Ninness
1996 J jnl
Integral constraints on the accuracy of least-squares estimation.
Autom.
Brett Ninness
1995 J jnl
Estimation of model quality.
Autom.
Brett Ninness, Graham C. Goodwin