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2020 – today
- 2024
[i23]Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson:
Divide, Conquer, Combine Bayesian Decision Tree Sampling. CoRR abs/2403.18147 (2024)- 2023
- [j28]Adrian G. Wills, Thomas B. Schön:
Sequential Monte Carlo: A Unified Review. Annu. Rev. Control. Robotics Auton. Syst. 6: 159-182 (2023) - [j27]Jarrad Courts, Adrian G. Wills, Thomas B. Schön, Brett Ninness:
Variational system identification for nonlinear state-space models. Autom. 147: 110687 (2023) - [j26]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) - [i22]Jodie A. Cochrane, Adrian G. Wills, Sarah J. Johnson:
RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior. CoRR abs/2312.01577 (2023) - 2022
- [j25]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
Parameter estimation for Jump Markov Linear Systems. Autom. 135: 109949 (2022) - [j24]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A new smoothing algorithm for jump Markov linear systems. Autom. 140: 110218 (2022) - [j23]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
- [j22]Adrian G. Wills, Thomas B. Schön:
Stochastic quasi-Newton with line-search regularisation. Autom. 127: 109503 (2021) - [j21]Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez:
A Heteroscedastic Likelihood Model for Two-Frame Optical Flow. IEEE Robotics Autom. Lett. 6(2): 1200-1207 (2021) - [j20]Jarrad Courts, Adrian G. Wills, Thomas B. Schön:
Gaussian Variational State Estimation for Nonlinear State-Space Models. IEEE Trans. Signal Process. 69: 5979-5993 (2021) - [c15]Nathan Bartlett, Adrian G. Wills:
A Robust Random Matrix Prediction Model for Extended Object Rotations. FUSION 2021: 1-8 - [i21]Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig:
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR abs/2102.10880 (2021) - [i20]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
- [j19]Chengpu Yu, Lennart Ljung, Adrian Wills, Michel Verhaegen:
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS). IEEE Trans. Autom. Control. 65(10): 4201-4214 (2020) - [j18]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) - [j17]Nathan Bartlett, Christopher Renton, Adrian G. Wills:
A Closed-Form Prediction Update for Extended Target Tracking Using Random Matrices. IEEE Trans. Signal Process. 68: 2404-2418 (2020) - [i19]Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Linearly Constrained Neural Networks. CoRR abs/2002.01600 (2020) - [i18]Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills:
Constructing a variational family for nonlinear state-space models. CoRR abs/2002.02620 (2020) - [i17]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A New Smoothing Algorithm for Jump Markov Linear Systems. CoRR abs/2004.08561 (2020) - [i16]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) - [i15]Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
Bayesian Parameter Identification for Jump Markov Linear Systems. CoRR abs/2004.08565 (2020) - [i14]Johannes N. Hendriks, Nicholas O'Dell, Adrian Wills, Anton S. Tremsin, Christopher Wensrich, Takenao Shinohara:
Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging. CoRR abs/2004.11526 (2020) - [i13]Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez:
A Heteroscedastic Likelihood Model for Two-frame Optical Flow. CoRR abs/2010.06871 (2020) - [i12]Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin:
Practical Bayesian System Identification using Hamiltonian Monte Carlo. CoRR abs/2011.04117 (2020) - [i11]Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön:
Deep Energy-Based NARX Models. CoRR abs/2012.04136 (2020) - [i10]Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness:
Variational Nonlinear System Identification. CoRR abs/2012.05072 (2020) - [i9]Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön:
Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. CoRR abs/2012.06341 (2020) - [i8]Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness:
Variational State and Parameter Estimation. CoRR abs/2012.07269 (2020)
2010 – 2019
- 2019
- [j16]Andrew J. Fleming, Omid T. Ghalehbeygi, Ben S. Routley, Adrian G. Wills:
Scanning Laser Lithography With Constrained Quadratic Exposure Optimization. IEEE Trans. Control. Syst. Technol. 27(5): 2221-2228 (2019) - [i7]Adrian Wills, Thomas B. Schön:
Stochastic quasi-Newton with line-search regularization. CoRR abs/1909.01238 (2019) - [i6]Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills:
Deep kernel learning for integral measurements. CoRR abs/1909.01844 (2019) - [i5]Nicholas O'Dell, Christopher Renton, Adrian Wills:
Learning Continuous Occupancy Maps with the Ising Process Model. CoRR abs/1910.08225 (2019) - 2018
- [c14]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 - [i4]Adrian Wills, Thomas B. Schön:
Stochastic quasi-Newton with adaptive step lengths for large-scale problems. CoRR abs/1802.04310 (2018) - [i3]Adrian Wills, Carl Jidling, Thomas B. Schön:
A fast quasi-Newton-type method for large-scale stochastic optimisation. CoRR abs/1810.01269 (2018) - [i2]Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. CoRR abs/1812.07319 (2018) - 2017
- [c13]Adrian G. Wills, Thomas B. Schön:
On the construction of probabilistic Newton-type algorithms. CDC 2017: 6499-6504 - [c12]Antonio Del Giudice, Adrian Wills, Andrew Mears:
Development of a planning tool for network ancillary services using customer-owned solar and battery storage. ISGT Europe 2017: 1-6 - [c11]Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön:
Linearly constrained Gaussian processes. NIPS 2017: 1215-1224 - [i1]Adrian G. Wills, Johannes N. Hendriks, Christopher Renton, Brett Ninness:
A Bayesian Filtering Algorithm for Gaussian Mixture Models. CoRR abs/1705.05495 (2017) - 2016
- [c10]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 - 2013
- [j15]Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness:
Identification of Hammerstein-Wiener models. Autom. 49(1): 70-81 (2013) - 2012
- [j14]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
- [j13]Thomas B. Schön, Adrian Wills, Brett Ninness:
System identification of nonlinear state-space models. Autom. 47(1): 39-49 (2011) - 2010
- [j12]Lennart Ljung, Adrian Wills:
Issues in sampling and estimating continuous-time models with stochastic disturbances. Autom. 46(5): 925-931 (2010) - [j11]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) - [c9]Adrian Wills, Thomas B. Schön, Brett Ninness:
Estimating state-space models in innovations form using the expectation maximisation algorithm. CDC 2010: 5524-5529 - [c8]Brett Ninness, Adrian Wills, Thomas B. Schön:
Estimation of general nonlinear state-space systems. CDC 2010: 6371-6376
2000 – 2009
- 2009
- [j10]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) - [j9]Andrew J. Fleming, Adrian G. Wills:
Optimal Periodic Trajectories for Band-Limited Systems. IEEE Trans. Control. Syst. Technol. 17(3): 552-562 (2009) - [c7]Adam Mills, Adrian Wills, Brett Ninness:
Nonlinear model predictive control of an inverted pendulum. ACC 2009: 2335-2340 - [c6]Geoff Knagge, Adrian Wills, Adam Mills, Brett Ninness:
ASIC and FPGA implementation strategies for Model Predictive Control. ECC 2009: 144-149 - 2008
- [j8]Anna Hagenblad, Lennart Ljung, Adrian Wills:
Maximum likelihood identification of Wiener models. Autom. 44(11): 2697-2705 (2008) - [j7]Adrian Wills, Brett Ninness:
On Gradient-Based Search for Multivariable System Estimates. IEEE Trans. Autom. Control. 53(1): 298-306 (2008) - [j6]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) - [j5]Andrew J. Fleming, Adrian G. Wills, S. O. Reza Moheimani:
Sensor Fusion for Improved Control of Piezoelectric Tube Scanners. IEEE Trans. Control. Syst. Technol. 16(6): 1265-1276 (2008) - 2007
- [j4]William Paul Heath, Adrian G. Wills:
Zames-Falb Multipliers for Quadratic Programming. IEEE Trans. Autom. Control. 52(10): 1948-1951 (2007) - 2005
- [j3]Stuart Gibson, Adrian Wills, Brett Ninness:
Maximum-likelihood parameter estimation of bilinear systems. IEEE Trans. Autom. Control. 50(10): 1581-1596 (2005) - [c5]William Paul Heath, Adrian G. Wills:
Zames-Falb multipliers for quadratic programming. CDC/ECC 2005: 963-968 - [c4]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
- [j2]Adrian G. Wills, William Paul Heath:
Barrier function based model predictive control. Autom. 40(8): 1415-1422 (2004) - [j1]William Paul Heath, Adrian G. Wills:
Design of Cross-Directional Controllers with Optimal Steady State Performance. Eur. J. Control 10(1): 15-27 (2004) - 2003
- [c3]Adrian G. Wills, William Paul Heath:
An exterior/interior-point approach to infeasibility in model predictive control. CDC 2003: 3701-3705 - [c2]William Paul Heath, Adrian G. Wills:
Design of cross-directional controllers with optimal steady state performance. ECC 2003: 1099-1104 - 2002
- [c1]Adrian G. Wills, W. P. Heath:
A recentred barrier for constrained receding horizon control. ACC 2002: 4177-4182
Coauthor Index
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