Real Time Simulation in Floating Point Precision Using FPGA Computing. - Beniamin Apopei; Andrew R. Mills; Tony J. Dodd; Haydn Thompson (ARC, 2009)

Aero engine health management system architecture design using multi-criteria optimization. - Rajesh Kudikala; Andrew R. Mills; Peter J. Fleming; Graham F. Tanner; Jonathan E. Holt (GECCO (Companion), 2013)

Bayesian Hierarchical Models for aerospace gas turbine engine prognostics. - Martha Arbayani Zaidan; Robert F. Harrison; Andrew R. Mills; Peter J. Fleming (Expert Syst. Appl., 2015)

Prognostics of gas turbine engine: An integrated approach. - Martha Arbayani Zaidan; Rishi Relan; Andrew R. Mills; Robert F. Harrison (Expert Syst. Appl., 2015)

Formal verification of a gain scheduling control scheme. - Pablo Ordóñez; Andrew R. Mills; Tony J. Dodd; Jun Liu 015 (MED, 2017)

Weak Interactions Based System Partitioning Using Integer Linear Programming. - Romain Guicherd; Paul A. Trodden; Andrew R. Mills; Visakan Kadirkamanathan (CoRR, 2017)

Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines. - Christopher J. Hambley; Bryn Ll. Jones; Ian Griffin; Andrew R. Mills; Visakan Kadirkamanathan (Syst. Eng., 2018)

Power management optimisation for hybrid electric systems using reinforcement learning and adaptive dynamic programming. - Ibrahim Sanusi; Andrew R. Mills; George C. Konstantopoulos; Tony Dodd 002 (ACC, 2019)

Reinforcement learning for condition-based control of gas turbine engines. - Ibrahim Sanusi; Andrew R. Mills; Paul A. Trodden; Visakan Kadirkamanathan; Tony J. Dodd (ECC, 2019)

In-flight Novelty Detection with Convolutional Neural Networks. - Adam Hartwell; Felipe Montana; Will Jacobs; Visakan Kadirkamanathan; Andrew R. Mills; Tom Clark (CoRR, 2021)

Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. - Romain Guicherd; Andrew R. Mills; Paul A. Trodden; Visakan Kadirkamanathan (IEEE Control. Syst. Lett., 2021)

Current-Residual-Based Stator Interturn Fault Detection in Permanent Magnet Machines. - Rongguang Hu; Jiabin Wang; Andrew R. Mills; Ellis Chong; Zhigang Sun (IEEE Trans. Ind. Electron., 2021)

Supervised-distributed control with joint performance and communication optimisation. - Romain Guicherd; Paul A. Trodden; Andrew R. Mills; Visakan Kadirkamanathan (Int. J. Control, 2022)

Distributed Kalman Filtering for Temporal Resolution Enhancement of Thermal Images. - Sabeethan Kanagasingham; Andrew R. Mills; Visakan Kadirkamanathan (ISPA, 2023)

Through-life Monitoring of Resource-constrained Systems and Fleets. - Felipe Montana; Adam Hartwell; Will Jacobs; Visakan Kadirkamanathan; Andrew R. Mills; Tom Clark (CoRR, 2023)

Computationally Efficient Kalman Filter Framework for Intra-Frame Image Reconstruction with a Rolling Shutter Camera. - Sabeethan Kanagasingham; Andrew R. Mills; Visakan Kadirkamanathan (ICIP, 2024)

Spatio-temporal Super-Resolution of Thermal Image Sequences through Kalman Filtering and Smoothing. - Sabeethan Kanagasingham; Andrew R. Mills; Visakan Kadirkamanathan (SSP, 2025)