August 2021

A Hybrid Reinforcement Learning System for Identification and Control

Mills P. M., Tadé M. O. and Zomaya A. Y. (1992) “A Hybrid Reinforcement Learning System for Identification and Control” Proceedings of the AI Simulation and Planning in High Autonomy Systems Conference, Perth, 2-8.

Adaptive Non-linear Control using Neural Networks

Mills P. M., Tadé M. O. and Zomaya A. Y. (1992) “Adaptive Non-Linear Control using Neural Networks” Proc. Control’92 Conference, Perth, 7-13.

Supervisory Control of the HISMELT* Process

Mills P. M., Wauchope M. D. and Burke P. D. (1992) “Supervisory Control of the HIsmelt* Process” Proc. Control’92 Conference, Perth, 7-13.

Applications of Adaptive Neural Model-based Control

Mills P. M., Zomaya A. Y. and Tadé M. O. (1993) “Applications of Adaptive Neural Model-Based Control” 32nd Conf. on Decision and Control 1993.

Model-based Control of the HISMELT* Process

Burke P. D., Mills P. M. and Walker G. J. (1994) “Model-based Control of the HIsmelt* Process” Proceedings of Aspenworld 94 Conference, Boston, Ma. USA.

On the Industrial Plant Performance & Operating Point Drifting Phenomenon

Duffy, G., Mills, P., Li, Q., Vlacic, V. (2015) “On the Industrial Plant Performance & Operating Point Drifting Phenomenon.” In Proc. 10th Asian Control Conference on Emerging Control Technique for a Sustainable World, Kota Kinabalu, Sabah, pp. 2187-2192.

Extending the Harris Index Performance Assessment Technique: A Plant-wide Focus

Duffy, G., Mills, P., Li, Q., Vlacic, V. (2016) “Extending the Harris Index Performance Assessment Technique: A Plant-Wide Focus”, In Proceedings from the 7th Australian Control Conference, Newcastle, Australia.

A Methodology to Determine the Dynamic Relationship between Process and Manipulated Variables

Duffy, G., Mills, P., Li, Q., Vlacic, V. (2017) “A methodology to determine the dynamic relationship between process and manipulated variables”, In Proceedings from the 8th Australian Control Conference, Gold Coast, Australia.

A Neural Network Approach to On-line Identification of Non-linear Systems

Mills P. M. and Zomaya A. Y. (1993) “A Neural Network Approach to On-line Identification of Non-linear Systems” Cybernetics and Systems 24, 171-195.

An On-line Process Dead-time Estimation Algorithm

Duffy, G., Mills, P., Li, Q., Vlacic, V. (2017) “An on-line process dead-time estimation algorithm”, In Proceedings from the 11th Asian Control Conference, Gold Coast, Australia.