A recentred barrier for constrained receding horizon control. - Adrian G. Wills; W. P. Heath (ACC, 2002)

An exterior/interior-point approach to infeasibility in model predictive control. - Adrian G. Wills; William Paul Heath (CDC, 2003)

Barrier function based model predictive control. - Adrian G. Wills; William Paul Heath (Autom., 2004)

Design of Cross-Directional Controllers with Optimal Steady State Performance. - William Paul Heath; Adrian G. Wills (Eur. J. Control, 2004)

Application of MPC to an active structure using sampling rates up to 25kHz. - Adrian Wills; Dale Bates; Andrew J. Fleming; Brett Ninness; S. O. Reza Moheimani (CDC/ECC, 2005)

Maximum-likelihood parameter estimation of bilinear systems. - Stuart Gibson; Adrian Wills; Brett Ninness (IEEE Trans. Autom. Control., 2005)

Zames-Falb Multipliers for Quadratic Programming. - William Paul Heath; Adrian G. Wills (IEEE Trans. Autom. Control., 2007)

Maximum likelihood identification of Wiener models. - Anna Hagenblad; Lennart Ljung; Adrian Wills (Autom., 2008)

On Gradient-Based Search for Multivariable System Estimates. - Adrian Wills; Brett Ninness (IEEE Trans. Autom. Control., 2008)

Sensor Fusion for Improved Control of Piezoelectric Tube Scanners. - Andrew J. Fleming; Adrian G. Wills; S. O. Reza Moheimani (IEEE Trans. Control. Syst. Technol., 2008)

Model Predictive Control Applied to Constraint Handling in Active Noise and Vibration Control. - Adrian G. Wills; Dale Bates; Andrew J. Fleming; Brett Ninness; S. O. Reza Moheimani (IEEE Trans. Control. Syst. Technol., 2008)

Nonlinear model predictive control of an inverted pendulum. - Adam Mills; Adrian Wills; Brett Ninness (ACC, 2009)

ASIC and FPGA implementation strategies for Model Predictive Control. - Geoff Knagge; Adrian Wills; Adam Mills; Brett Ninness (ECC, 2009)

Maximum Likelihood Estimation of State Space Models From Frequency Domain Data. - Adrian Wills; Brett Ninness; Stuart Gibson (IEEE Trans. Autom. Control., 2009)

Optimal Periodic Trajectories for Band-Limited Systems. - Andrew J. Fleming; Adrian G. Wills (IEEE Trans. Control. Syst. Technol., 2009)

Estimation of general nonlinear state-space systems. - Brett Ninness; Adrian Wills; Thomas B. Schön (CDC, 2010)

Estimating state-space models in innovations form using the expectation maximisation algorithm. - Adrian Wills; Thomas B. Schön; Brett Ninness (CDC, 2010)

Issues in sampling and estimating continuous-time models with stochastic disturbances. - Lennart Ljung; Adrian Wills (Autom., 2010)

Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions". - Brett Ninness; Adrian Wills; Hüseyin Akçay (Eur. J. Control, 2010)

System identification of nonlinear state-space models. - Thomas B. Schön; Adrian Wills; Brett Ninness (Autom., 2011)

Fast Linear Model Predictive Control Via Custom Integrated Circuit Architecture. - Adrian G. Wills; Geoff Knagge; Brett Ninness (IEEE Trans. Control. Syst. Technol., 2012)

Identification of Hammerstein-Wiener models. - Adrian Wills; Thomas B. Schön; Lennart Ljung; Brett Ninness (Autom., 2013)

A nonlinear programming approach to exposure optimization in scanning laser lithography. - Andrew J. Fleming; Adrian Wills; Omid T. Ghalehbeygi; Ben Routley; Brett Ninness (ACC, 2016)

On the construction of probabilistic Newton-type algorithms. - Adrian G. Wills; Thomas B. Schön (CDC, 2017)

Development of a planning tool for network ancillary services using customer-owned solar and battery storage. - Antonio Del Giudice; Adrian Wills; Andrew Mears (ISGT Europe, 2017)

Linearly constrained Gaussian processes. - Carl Jidling; Niklas Wahlström; Adrian Wills; Thomas B. Schön (NIPS, 2017)

A Bayesian Filtering Algorithm for Gaussian Mixture Models. - Adrian G. Wills; Johannes N. Hendriks; Christopher Renton; Brett Ninness (CoRR, 2017)

Accurate Gaussian Mixture Model Smoothing using a Two-Filter Approach. - Mark P. Balenzuela; Johan Dahlin; Nathan Bartlett; Adrian G. Wills; Christopher Renton; Brett Ninness (CDC, 2018)

Stochastic quasi-Newton with adaptive step lengths for large-scale problems. - Adrian Wills; Thomas B. Schön (CoRR, 2018)

A fast quasi-Newton-type method for large-scale stochastic optimisation. - Adrian Wills; Carl Jidling; Thomas B. Schön (CoRR, 2018)

Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. - Johannes N. Hendriks; Carl Jidling; Adrian Wills; Thomas B. Schön (CoRR, 2018)

Stochastic quasi-Newton with line-search regularization. - Adrian Wills; Thomas B. Schön (CoRR, 2019)

Deep kernel learning for integral measurements. - Carl Jidling; Johannes N. Hendriks; Thomas B. Schön; Adrian Wills (CoRR, 2019)

Learning Continuous Occupancy Maps with the Ising Process Model. - Nicholas O'Dell; Christopher Renton; Adrian Wills (CoRR, 2019)

Scanning Laser Lithography With Constrained Quadratic Exposure Optimization. - Andrew J. Fleming; Omid T. Ghalehbeygi; Ben S. Routley; Adrian G. Wills (IEEE Trans. Control. Syst. Technol., 2019)

Linearly Constrained Neural Networks. - Johannes N. Hendriks; Carl Jidling; Adrian Wills; Thomas B. Schön (CoRR, 2020)

Constructing a variational family for nonlinear state-space models. - Jarrad Courts; Christopher Renton; Thomas B. Schön; Adrian Wills (CoRR, 2020)

A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems. - Mark P. Balenzuela; Adrian G. Wills; Christopher Renton; Brett Ninness (CoRR, 2020)

Bayesian Parameter Identification for Jump Markov Linear Systems. - Mark P. Balenzuela; Adrian G. Wills; Christopher Renton; Brett Ninness (CoRR, 2020)

Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging. - Johannes N. Hendriks; Nicholas O'Dell; Adrian Wills; Anton S. Tremsin; Christopher Wensrich; Takenao Shinohara (CoRR, 2020)

Practical Bayesian System Identification using Hamiltonian Monte Carlo. - Johannes N. Hendriks; Adrian Wills; Brett Ninness; Johan Dahlin (CoRR, 2020)

Deep Energy-Based NARX Models. - Johannes N. Hendriks; Fredrik K. Gustafsson; Antônio H. Ribeiro; Adrian G. Wills; Thomas B. Schön (CoRR, 2020)

Variational Nonlinear System Identification. - Jarrad Courts; Adrian Wills; Thomas B. Schön; Brett Ninness (CoRR, 2020)

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. - Antônio H. Ribeiro; Johannes N. Hendriks; Adrian G. Wills; Thomas B. Schön (CoRR, 2020)

Variational State and Parameter Estimation. - Jarrad Courts; Johannes N. Hendriks; Adrian Wills; Thomas B. Schön; Brett Ninness (CoRR, 2020)

Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS). - Chengpu Yu; Lennart Ljung; Adrian Wills; Michel Verhaegen (IEEE Trans. Autom. Control., 2020)

A Closed-Form Prediction Update for Extended Target Tracking Using Random Matrices. - Nathan Bartlett; Christopher Renton; Adrian G. Wills (IEEE Trans. Signal Process., 2020)

Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters. - Arnfinn Aas Eielsen; John Leth; Andrew J. Fleming; Adrian G. Wills; Brett Ninness (IEEE Trans. Signal Process., 2020)

A Robust Random Matrix Prediction Model for Extended Object Rotations. - Nathan Bartlett; Adrian G. Wills (FUSION, 2021)

Stochastic quasi-Newton with line-search regularisation. - Adrian G. Wills; Thomas B. Schön (Autom., 2021)

A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. - Filip de Roos; Carl Jidling; Adrian Wills; Thomas B. Schön; Philipp Hennig (CoRR, 2021)

A Heteroscedastic Likelihood Model for Two-Frame Optical Flow. - Timothy Farnworth; Christopher Renton; Reuben Strydom; Adrian Wills; Tristan Perez (IEEE Robotics Autom. Lett., 2021)

Gaussian Variational State Estimation for Nonlinear State-Space Models. - Jarrad Courts; Adrian G. Wills; Thomas B. Schön (IEEE Trans. Signal Process., 2021)

Parameter estimation for Jump Markov Linear Systems. - Mark P. Balenzuela; Adrian G. Wills; Christopher Renton; Brett Ninness (Autom., 2022)

A new smoothing algorithm for jump Markov linear systems. - Mark P. Balenzuela; Adrian G. Wills; Christopher Renton; Brett Ninness (Autom., 2022)

Data to Controller for Nonlinear Systems: An Approximate Solution. - Johannes N. Hendriks; James R. Z. Holdsworth; Adrian G. Wills; Thomas B. Schön; Brett Ninness (IEEE Control. Syst. Lett., 2022)

Variational system identification for nonlinear state-space models. - Jarrad Courts; Adrian G. Wills; Thomas B. Schön; Brett Ninness (Autom., 2023)

RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior. - Jodie A. Cochrane; Adrian G. Wills; Sarah J. Johnson (CoRR, 2023)

Sequential Monte Carlo: A Unified Review. - Adrian G. Wills; Thomas B. Schön (Annu. Rev. Control. Robotics Auton. Syst., 2023)

Smoothed State Estimation via Efficient Solution of Linear Equations. - Li-Hui Geng; Adrian G. Wills; Brett Ninness; Thomas B. Schön (IEEE Trans. Autom. Control., 2023)

Modified Distflow: Novel Power Flow Model for Distribution Grid. - Shubhankar Kapoor; Johannes N. Hendriks; Adrian G. Wills; Lachlan Blackhall; Masoume Mahmoodi (ISGT EUROPE, 2024)

Divide, Conquer, Combine Bayesian Decision Tree Sampling. - Jodie A. Cochrane; Adrian Wills; Sarah J. Johnson (AABI, 2025)