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2020 – today
- 2023
[j46]Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness:
Variational system identification for nonlinear state-space models. Autom. 147: 110687 (2023)- [j45]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): 5877-5889 (2023) - 2022
- [j44]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
Parameter estimation for Jump Markov Linear Systems. Autom. 135: 109949 (2022) - [j43]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A new smoothing algorithm for jump Markov linear systems. Autom. 140: 110218 (2022) - [j42]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: 1196-1201 (2022) - 2021
- [i9]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 abs/2103.08782 (2021) - 2020
- [j41]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: 1950-1963 (2020) - [i8]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A New Smoothing Algorithm for Jump Markov Linear Systems. CoRR abs/2004.08561 (2020) - [i7]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems. CoRR abs/2004.08564 (2020) - [i6]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
Bayesian Parameter Identification for Jump Markov Linear Systems. CoRR abs/2004.08565 (2020) - [i5]Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin:
Practical Bayesian System Identification using Hamiltonian Monte Carlo. CoRR abs/2011.04117 (2020) - [i4]Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness:
Variational Nonlinear System Identification. CoRR abs/2012.05072 (2020) - [i3]Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness:
Variational State and Parameter Estimation. CoRR abs/2012.07269 (2020)
2010 – 2019
- 2018
- [j40]Damián Marelli, Mohsen Zamani, Minyue Fu, Brett Ninness:
Distributed Kalman filter in a network of linear systems. Syst. Control. Lett. 116: 71-77 (2018) - [c30]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: 694-699 - [c29]Mohsen Zamani, Damián Marelli, Brett Ninness, Minyue Fu:
Distributed Estimation in Networks of Linear Time-invariant Systems. ICCA 2018: 63-68 - 2017
- [i2]Adrian G. Wills, Johannes N. Hendriks, Christopher Renton, Brett Ninness:
A Bayesian Filtering Algorithm for Gaussian Mixture Models. CoRR abs/1705.05495 (2017) - 2016
- [c28]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: 5811-5816 - [c27]Mohsen Zamani, Brett Ninness, Daniel E. Quevedo:
On the reachability property for networks of linear time-invariant subsystems. AuCC 2016: 27-31 - [c26]Mohsen Zamani, Alireza Khosravian, Brett Ninness:
Compensation of attacks on consensus networks. ICASSP 2016: 3491-3495 - 2015
- [j39]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): 4502-4515 (2015) - [c25]Khoa T. Tran, Brett Ninness:
Reunderstanding slice sampling as parallel MCMC. CCA 2015: 1197-1202 - [c24]Khoa T. Tran, Brett Ninness:
Parallel MCMC algorithm for bayesian system identification. CDC 2015: 2438-2443 - [c23]Li-Hui Geng, Brett Ninness, Ze-Yu Xia:
An improved square-root algorithm for RTS Kalman smoothing. ICIA 2015: 1032-1036 - [r1]Brett Ninness:
System Identification Software. Encyclopedia of Systems and Control 2015 - [i1]Mohsen Zamani, Brett Ninness, Daniel E. Quevedo:
On the Reachability of Networked Systems. CoRR abs/1505.06810 (2015) - 2014
- [c22]Brett Ninness, Khoa T. Tran, Christopher M. Kellett:
Bayesian dynamic system estimation. CDC 2014: 1780-1785 - [c21]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: 1049-1054 - 2013
- [j38]Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness:
Identification of Hammerstein-Wiener models. Autom. 49(1): 70-81 (2013) - 2012
- [j37]Adrian G. Wills, Geoff Knagge, Brett Ninness:
Fast Linear Model Predictive Control Via Custom Integrated Circuit Architecture. IEEE Trans. Control. Syst. Technol. 20(1): 59-71 (2012) - 2011
- [j36]Thomas B. Schön, Adrian Wills, Brett Ninness:
System identification of nonlinear state-space models. Autom. 47(1): 39-49 (2011) - 2010
- [j35]Brett Ninness, Soren J. Henriksen:
Bayesian system identification via Markov chain Monte Carlo techniques. Autom. 46(1): 40-51 (2010) - [j34]Brett Ninness, Adrian Wills, Hüseyin Akçay:
Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions". Eur. J. Control 16(3): 225-226 (2010) - [c20]Adrian Wills, Thomas B. Schön, Brett Ninness:
Estimating state-space models in innovations form using the expectation maximisation algorithm. CDC 2010: 5524-5529 - [c19]Brett Ninness, Adrian Wills, Thomas B. Schön:
Estimation of general nonlinear state-space systems. CDC 2010: 6371-6376
2000 – 2009
- 2009
- [j33]Adrian Wills, Brett Ninness, Stuart Gibson:
Maximum Likelihood Estimation of State Space Models From Frequency Domain Data. IEEE Trans. Autom. Control. 54(1): 19-33 (2009) - [j32]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): 229-247 (2009) - [c18]Adam Mills, Adrian Wills, Brett Ninness:
Nonlinear model predictive control of an inverted pendulum. ACC 2009: 2335-2340 - [c17]Geoff Knagge, Adrian Wills, Adam Mills, Brett Ninness:
ASIC and FPGA implementation strategies for Model Predictive Control. ECC 2009: 144-149 - 2008
- [j31]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): 497-505 (2008) - [j30]Adrian Wills, Brett Ninness:
On Gradient-Based Search for Multivariable System Estimates. IEEE Trans. Autom. Control. 53(1): 298-306 (2008) - [j29]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): 3-12 (2008) - [j28]Brett Ninness, Soren J. Henriksen:
Time-Scale Modification of Speech Signals. IEEE Trans. Signal Process. 56(4): 1479-1488 (2008) - [c16]Dale Bates, Soren J. Henriksen, Brett Ninness, Steven R. Weller:
A 4×4 FPGA-based wireless testbed for LTE applications. PIMRC 2008: 1-5 - 2006
- [j27]Håkan Hjalmarsson, Brett Ninness:
Least-squares estimation of a class of frequency functions: A finite sample variance expression. Autom. 42(4): 589-600 (2006) - [c15]Geoff Knagge, Mark Bickerstaff, Brett Ninness, Steven R. Weller, Graeme Woodward:
A VLSI 8×8 MIMO Near-ML Decoder Engine. SiPS 2006: 387-392 - 2005
- [j26]Brett Ninness, Håkan Hjalmarsson:
On the frequency domain accuracy of closed-loop estimates. Autom. 41(7): 1109-1122 (2005) - [j25]Brett Ninness, Håkan Hjalmarsson:
Analysis of the variability of joint input-output estimation methods. Autom. 41(7): 1123-1132 (2005) - [j24]Stuart Gibson, Brett Ninness:
Robust maximum-likelihood estimation of multivariable dynamic systems. Autom. 41(10): 1667-1682 (2005) - [j23]Stuart Gibson, Adrian Wills, Brett Ninness:
Maximum-likelihood parameter estimation of bilinear systems. IEEE Trans. Autom. Control. 50(10): 1581-1596 (2005) - [c14]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: 3176-3181 - 2004
- [j22]Brett Ninness:
On the CRLB for combined model and model-order estimation of stationary stochastic processes. IEEE Signal Process. Lett. 11(2): 293-296 (2004) - [j21]Petre Stoica, Jian Li, Brett Ninness:
The Waterbed Effect in Spectral Estimation. IEEE Signal Process. Mag. 21(3): 88-100 (2004) - [j20]Brett Ninness, Håkan Hjalmarsson:
The effect of regularization on variance error. IEEE Trans. Autom. Control. 49(7): 1142-1147 (2004) - [j19]Brett Ninness, Håkan Hjalmarsson:
Variance error quantifications that are exact for finite-model order. IEEE Trans. Autom. Control. 49(8): 1275-1291 (2004) - [c13]Geoff Knagge, Graeme Woodward, Steven R. Weller, Brett Ninness:
An optimised parallel tree search for multiuser detection with VLSI implementation strategy. GLOBECOM 2004: 2440-2444 - [c12]Brett Ninness:
Closed form frequency domain expressions for best achievable accuracy of spectral density estimation. ICASSP (2) 2004: 485-488 - 2003
- [j18]Brett Ninness:
Discussion on: "Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties". Eur. J. Control 9(4): 381-383 (2003) - [j17]Brett Ninness:
The asymptotic CRLB for the spectrum of ARMA processes. IEEE Trans. Signal Process. 51(6): 1520-1531 (2003) - [c11]Brett Ninness, Håkan Hjalmarsson:
On the frequency domain accuracy of closed loop estimates. CDC 2003: 5997-6002 - [c10]Brett Ninness, Håkan Hjalmarsson:
Variance error quantifications that are exact for finite model order. CDC 2003: 6003-6008 - 2002
- [j16]Brett Ninness, Stuart Gibson:
Quantifying the accuracy of Hammerstein model estimation. Autom. 38(12): 2037-2051 (2002) - [c9]Brett Ninness, Soren J. Henriksen, Thomas S. Brinsmead:
System identification via a computational Bayesian approach. CDC 2002: 1820-1825 - 2001
- [j15]Steven R. Weller, William Moran, Brett Ninness, A. D. Pollington:
Sampling zeros and the Euler-Frobenius polynomials. IEEE Trans. Autom. Control. 46(2): 340-343 (2001) - 2000
- [j14]Brett Ninness:
Strong laws of large numbers under weak assumptions with application. IEEE Trans. Autom. Control. 45(11): 2117-2122 (2000) - [c8]Stuart Gibson, Brett Ninness:
The relationship between state space subspace identification methods and the EM method. CDC 2000: 2415-2416 - [c7]Dietmar Bauer, Brett Ninness:
Asymptotic properties of Hammerstein model estimates. CDC 2000: 2855-2860 - [c6]Brett Ninness, Steven R. Weller:
Performance aspects of linear multiuser receivers. GLOBECOM 2000: 31-35 - [c5]Brett Ninness, Soren J. Henriksen:
Time and frequency scale modification of speech signals. ICASSP 2000: 1295-1298
1990 – 1999
- 1999
- [j13]Hüseyin Akçay, Brett Ninness:
Orthonormal Basis Functions for Continuous-Time Systems and Lp Convergence. Math. Control. Signals Syst. 12(3): 295-305 (1999) - [j12]Hüseyin Akçay, Brett Ninness:
Orthonormal basis functions for modelling continuous-time systems. Signal Process. 77(3): 261-274 (1999) - [j11]Brett Ninness, Håkan Hjalmarsson, Fredrik Gustafsson:
The fundamental role of general orthonormal bases in system identification. IEEE Trans. Autom. Control. 44(7): 1384-1406 (1999) - [j10]Hüseyin Akçay, Syed Mofizul Islam, Brett Ninness:
Subspace-based identification of power transformer models from frequency response data. IEEE Trans. Instrum. Meas. 48(3): 700-704 (1999) - [c4]Hüseyin Akçay, Brett Ninness:
Orthonormal basis functions for continuous-time systems: Completeness and Lp-convergence. ECC 1999: 159-164 - [c3]Brett Ninness, Håkan Hjalmarsson:
Signal spectra and conditioning when using orthonormal parameterisation. ECC 1999: 4656-4661 - 1998
- [j9]Brett Ninness:
A Stochastic Approach to Linear Estimation in H∞. Autom. 34(4): 405-414 (1998) - [j8]Hüseyin Akçay, Brett Ninness:
Rational Basis Functions for Robust Identification from Frequency and Time-Domain Measurements. Autom. 34(9): 1101-1117 (1998) - [j7]Hüseyin Akçay, Syed Mofizul Islam, Brett Ninness:
Identification of power transformer models from frequency response data: A case study. Signal Process. 68(3): 307-315 (1998) - [j6]Brett Ninness:
Estimation of 1/f Noise. IEEE Trans. Inf. Theory 44(1): 32-46 (1998) - [j5]Brett Ninness, Juan Carlos Gomez:
Frequency domain analysis of tracking and noise performance of adaptive algorithms. IEEE Trans. Signal Process. 46(5): 1314-1332 (1998) - [c2]Brett Ninness, Juan Carlos Gomez:
Quantifying the accuracy of adaptive tracking algorithms. ICASSP 1998: 1693-1696 - [c1]Håkan Hjalmarsson, Brett Ninness:
Fast, non-iterative estimation of hidden Markov models. ICASSP 1998: 2253-2256 - 1997
- [j4]Brett Ninness:
Stochastic processes, estimation, and control: The entropy approach : By George N. Saridis. Autom. 33(11): 2093-2094 (1997) - [j3]Brett Ninness, Fredrik Gustafsson:
A unifying construction of orthonormal bases for system identification. IEEE Trans. Autom. Control. 42(4): 515-521 (1997) - 1996
- [j2]Brett Ninness:
Integral constraints on the accuracy of least-squares estimation. Autom. 32(3): 391-397 (1996) - 1995
- [j1]Brett Ninness, Graham C. Goodwin:
Estimation of model quality. Autom. 31(12): 1771-1797 (1995)
Coauthor Index
aka: Adrian G. Wills
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