Brett Ninness

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 20

Top Topics

Parameter Identification

Smoothing Algorithm

Top Venues

IEEE Trans. Signal Process.

Publications

Li-Hui Geng, Adrian G. Wills, Brett Ninness, Thomas B. Schön
Smoothed State Estimation via Efficient Solution of Linear Equations. IEEE Trans. Autom. Control. 68 (10) (2023)
Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness
Variational system identification for nonlinear state-space models. Autom. 147 (2023)
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
Parameter estimation for Jump Markov Linear Systems. Autom. 135 (2022)
Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
Data to Controller for Nonlinear Systems: An Approximate Solution. IEEE Control. Syst. Lett. 6 (2022)
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
A new smoothing algorithm for jump Markov linear systems. Autom. 140 (2022)
Johannes N. Hendriks, James R. Z. Holdsworth, Adrian G. Wills, Thomas B. Schön, Brett Ninness
Data to Controller for Nonlinear Systems: An Approximate Solution. CoRR (2021)
Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin
Practical Bayesian System Identification using Hamiltonian Monte Carlo. CoRR (2020)
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems. CoRR (2020)
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
A New Smoothing Algorithm for Jump Markov Linear Systems. CoRR (2020)
Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
Bayesian Parameter Identification for Jump Markov Linear Systems. CoRR (2020)
Arnfinn Aas Eielsen, John Leth, Andrew J. Fleming, Adrian G. Wills, Brett Ninness
Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters. IEEE Trans. Signal Process. 68 (2020)
Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness
Variational Nonlinear System Identification. CoRR (2020)
Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness
Variational State and Parameter Estimation. CoRR (2020)
Mark P. Balenzuela, Johan Dahlin, Nathan Bartlett, Adrian G. Wills, Christopher Renton, Brett Ninness
Accurate Gaussian Mixture Model Smoothing using a Two-Filter Approach. CDC (2018)
Mohsen Zamani, Damián Marelli, Brett Ninness, Minyue Fu
Distributed Estimation in Networks of Linear Time-invariant Systems. ICCA (2018)
Damián Marelli, Mohsen Zamani, Minyue Fu, Brett Ninness
Distributed Kalman filter in a network of linear systems. Syst. Control. Lett. 116 (2018)
Adrian G. Wills, Johannes N. Hendriks, Christopher Renton, Brett Ninness
A Bayesian Filtering Algorithm for Gaussian Mixture Models. CoRR (2017)
Andrew J. Fleming, Adrian Wills, Omid T. Ghalehbeygi, Ben Routley, Brett Ninness
A nonlinear programming approach to exposure optimization in scanning laser lithography. ACC (2016)
Mohsen Zamani, Brett Ninness, Daniel E. Quevedo
On the reachability property for networks of linear time-invariant subsystems. AuCC (2016)
Mohsen Zamani, Alireza Khosravian, Brett Ninness
Compensation of attacks on consensus networks. ICASSP (2016)
Mohsen Zamani, Brett Ninness, Daniel E. Quevedo
On the Reachability of Networked Systems. CoRR (2015)
Li-Hui Geng, Brett Ninness, Ze-Yu Xia
An improved square-root algorithm for RTS Kalman smoothing. ICIA (2015)
Khoa T. Tran, Brett Ninness
Parallel MCMC algorithm for bayesian system identification. CDC (2015)
Damián Marelli, Minyue Fu, Brett Ninness
Asymptotic Optimality of the Maximum-Likelihood Kalman Filter for Bayesian Tracking With Multiple Nonlinear Sensors. IEEE Trans. Signal Process. 63 (17) (2015)
Khoa T. Tran, Brett Ninness
Reunderstanding slice sampling as parallel MCMC. CCA (2015)
Brett Ninness, Khoa T. Tran, Christopher M. Kellett
Bayesian dynamic system estimation. CDC (2014)
Boris I. Godoy, Patricio E. Valenzuela, Cristian R. Rojas, Juan C. Agüero, Brett Ninness
A novel input design approach for systems with quantized output data. ECC (2014)
Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness
Identification of Hammerstein-Wiener models. Autom. 49 (1) (2013)
Adrian G. Wills, Geoff Knagge, Brett Ninness
Fast Linear Model Predictive Control Via Custom Integrated Circuit Architecture. IEEE Trans. Control. Syst. Technol. 20 (1) (2012)
Thomas B. Schön, Adrian Wills, Brett Ninness
System identification of nonlinear state-space models. Autom. 47 (1) (2011)
Brett Ninness, Adrian Wills, Hüseyin Akçay
Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions". Eur. J. Control 16 (3) (2010)
Brett Ninness, Adrian Wills, Thomas B. Schön
Estimation of general nonlinear state-space systems. CDC (2010)
Adrian Wills, Thomas B. Schön, Brett Ninness
Estimating state-space models in innovations form using the expectation maximisation algorithm. CDC (2010)
Brett Ninness, Soren J. Henriksen
Bayesian system identification via Markov chain Monte Carlo techniques. Autom. 46 (1) (2010)
Geoff Knagge, Mark Bickerstaff, Brett Ninness, Steven R. Weller, Graeme Woodward
A VLSI 8 × 8 MIMO Near-ML Detector with Preprocessing. J. Signal Process. Syst. 56 (2-3) (2009)
Geoff Knagge, Adrian Wills, Adam Mills, Brett Ninness
ASIC and FPGA implementation strategies for Model Predictive Control. ECC (2009)
Adam Mills, Adrian Wills, Brett Ninness
Nonlinear model predictive control of an inverted pendulum. ACC (2009)
Adrian Wills, Brett Ninness, Stuart Gibson
Maximum Likelihood Estimation of State Space Models From Frequency Domain Data. IEEE Trans. Autom. Control. 54 (1) (2009)
Brett Ninness, Soren J. Henriksen
Time-Scale Modification of Speech Signals. IEEE Trans. Signal Process. 56 (4) (2008)
Adrian G. Wills, Dale Bates, Andrew J. Fleming, Brett Ninness, S. O. Reza Moheimani
Model Predictive Control Applied to Constraint Handling in Active Noise and Vibration Control. IEEE Trans. Control. Syst. Technol. 16 (1) (2008)
Soren J. Henriksen, Brett Ninness, Steven R. Weller
Convergence of Markov-Chain Monte-Carlo Approaches to Multiuser and MIMO Detection. IEEE J. Sel. Areas Commun. 26 (3) (2008)
Dale Bates, Soren J. Henriksen, Brett Ninness, Steven R. Weller
A 4×4 FPGA-based wireless testbed for LTE applications. PIMRC (2008)
Adrian Wills, Brett Ninness
On Gradient-Based Search for Multivariable System Estimates. IEEE Trans. Autom. Control. 53 (1) (2008)
Håkan Hjalmarsson, Brett Ninness
Least-squares estimation of a class of frequency functions: A finite sample variance expression. Autom. 42 (4) (2006)
Geoff Knagge, Mark Bickerstaff, Brett Ninness, Steven R. Weller, Graeme Woodward
A VLSI 8×8 MIMO Near-ML Decoder Engine. SiPS (2006)
Adrian Wills, Dale Bates, Andrew J. Fleming, Brett Ninness, S. O. Reza Moheimani
Application of MPC to an active structure using sampling rates up to 25kHz. CDC/ECC (2005)
Brett Ninness, Håkan Hjalmarsson
On the frequency domain accuracy of closed-loop estimates. Autom. 41 (7) (2005)
Brett Ninness, Håkan Hjalmarsson
Analysis of the variability of joint input-output estimation methods. Autom. 41 (7) (2005)
Stuart Gibson, Brett Ninness
Robust maximum-likelihood estimation of multivariable dynamic systems. Autom. 41 (10) (2005)
Stuart Gibson, Adrian Wills, Brett Ninness
Maximum-likelihood parameter estimation of bilinear systems. IEEE Trans. Autom. Control. 50 (10) (2005)
Petre Stoica, Jian Li, Brett Ninness
The Waterbed Effect in Spectral Estimation. IEEE Signal Process. Mag. 21 (3) (2004)
Brett Ninness, Håkan Hjalmarsson
The effect of regularization on variance error. IEEE Trans. Autom. Control. 49 (7) (2004)
Brett Ninness
On the CRLB for combined model and model-order estimation of stationary stochastic processes. IEEE Signal Process. Lett. 11 (2) (2004)
Geoff Knagge, Graeme Woodward, Steven R. Weller, Brett Ninness
An optimised parallel tree search for multiuser detection with VLSI implementation strategy. GLOBECOM (2004)
Brett Ninness, Håkan Hjalmarsson
Variance error quantifications that are exact for finite-model order. IEEE Trans. Autom. Control. 49 (8) (2004)
Brett Ninness
Closed form frequency domain expressions for best achievable accuracy of spectral density estimation. ICASSP (2) (2004)
Brett Ninness
Discussion on: "Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties". Eur. J. Control 9 (4) (2003)
Brett Ninness, Håkan Hjalmarsson
Variance error quantifications that are exact for finite model order. CDC (2003)
Brett Ninness
The asymptotic CRLB for the spectrum of ARMA processes. IEEE Trans. Signal Process. 51 (6) (2003)
Brett Ninness, Håkan Hjalmarsson
On the frequency domain accuracy of closed loop estimates. CDC (2003)
Brett Ninness, Soren J. Henriksen, Thomas S. Brinsmead
System identification via a computational Bayesian approach. CDC (2002)
Brett Ninness, Stuart Gibson
Quantifying the accuracy of Hammerstein model estimation. Autom. 38 (12) (2002)
Steven R. Weller, William Moran, Brett Ninness, A. D. Pollington
Sampling zeros and the Euler-Frobenius polynomials. IEEE Trans. Autom. Control. 46 (2) (2001)
Brett Ninness, Steven R. Weller
Performance aspects of linear multiuser receivers. GLOBECOM (2000)
Brett Ninness
Strong laws of large numbers under weak assumptions with application. IEEE Trans. Autom. Control. 45 (11) (2000)
Dietmar Bauer, Brett Ninness
Asymptotic properties of Hammerstein model estimates. CDC (2000)
Brett Ninness, Soren J. Henriksen
Time and frequency scale modification of speech signals. ICASSP (2000)
Stuart Gibson, Brett Ninness
The relationship between state space subspace identification methods and the EM method. CDC (2000)
Hüseyin Akçay, Syed Mofizul Islam, Brett Ninness
Subspace-based identification of power transformer models from frequency response data. IEEE Trans. Instrum. Meas. 48 (3) (1999)
Hüseyin Akçay, Brett Ninness
Orthonormal basis functions for modelling continuous-time systems. Signal Process. 77 (3) (1999)
Brett Ninness, Håkan Hjalmarsson, Fredrik Gustafsson
The fundamental role of general orthonormal bases in system identification. IEEE Trans. Autom. Control. 44 (7) (1999)
Hüseyin Akçay, Brett Ninness
Orthonormal basis functions for continuous-time systems: Completeness and Lp-convergence. ECC (1999)
Hüseyin Akçay, Brett Ninness
Convergence. Math. Control. Signals Syst. 12 (3) (1999)
Brett Ninness, Håkan Hjalmarsson
Signal spectra and conditioning when using orthonormal parameterisation. ECC (1999)
Brett Ninness, Juan Carlos Gomez
Frequency domain analysis of tracking and noise performance of adaptive algorithms. IEEE Trans. Signal Process. 46 (5) (1998)
Brett Ninness, Juan Carlos Gomez
Quantifying the accuracy of adaptive tracking algorithms. ICASSP (1998)
Håkan Hjalmarsson, Brett Ninness
Fast, non-iterative estimation of hidden Markov models. ICASSP (1998)
Hüseyin Akçay, Brett Ninness
Rational Basis Functions for Robust Identification from Frequency and Time-Domain Measurements. Autom. 34 (9) (1998)
Brett Ninness
. Autom. 34 (4) (1998)
Brett Ninness
Estimation of 1/f Noise. IEEE Trans. Inf. Theory 44 (1) (1998)
Hüseyin Akçay, Syed Mofizul Islam, Brett Ninness
Identification of power transformer models from frequency response data: A case study. Signal Process. 68 (3) (1998)
Brett Ninness
Stochastic processes, estimation, and control: The entropy approach : By George N. Saridis. Autom. 33 (11) (1997)
Brett Ninness, Fredrik Gustafsson
A unifying construction of orthonormal bases for system identification. IEEE Trans. Autom. Control. 42 (4) (1997)
Brett Ninness
Integral constraints on the accuracy of least-squares estimation. Autom. 32 (3) (1996)
Brett Ninness, Graham C. Goodwin
Estimation of model quality. Autom. 31 (12) (1995)