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The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World (2019)
Presentation / Conference Contribution
Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., Eiben, A. E., Angus, M., Veenstra, F., Li, W., Woolley, R., De Carlo, M., & Tyrrell, A. M. (2019, July). The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. Presented at Artificial Life, Newcastle, UK

The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the major challenges for such a vision is the need to construct many unique ind... Read More about The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World.

Interactive digital television and the ‘new’ citizen. (2006)
Book Chapter
Webster, W., & Smith, C. F. (2006). Interactive digital television and the ‘new’ citizen. In V. Bekkers, H. van Duivenboden, & M. Thaens (Eds.), Information and Communication Technology and Public Innovation: assessing the ICT-driven modernization of public administration (121-137). IOS Press

This chapter presents a case study of the use of interactive digital television (iDTV) to deliver electronic public services in the UK. It reviews a number of innovative iDTV initiatives which have sought to test the feasibility of using iDTV technol... Read More about Interactive digital television and the ‘new’ citizen..

A nonlinear PID-based multiple controller incorporating a multilayered neural network learning submodel (2006)
Journal Article
Zayed, A., Hussain, A., & Grimble, M. (2006). A nonlinear PID-based multiple controller incorporating a multilayered neural network learning submodel. Control and Intelligent Systems, 34, 177-184. https://doi.org/10.2316/Journal.201.2006.3.201-1499

A new nonlinear minimum-variance adaptive proportional integral derivative (PID) based multiple controller, incorporating a multi- layered neural network learning submodel, is presented. The unknown non-linear plant is represented by an equivalent st... Read More about A nonlinear PID-based multiple controller incorporating a multilayered neural network learning submodel.

A minimal jerk prosthesis control system. (2005)
Presentation / Conference Contribution
Hill, S. S., Binnie, D., & Gow, D. J. (2005, August). A minimal jerk prosthesis control system. Presented at Myoelectric Control (MEC 05) 15-19th August 2005

Delivering public services through digital television. (2002)
Journal Article
Smith, C., & Webster, W. (2002). Delivering public services through digital television. Public Money and Management, 22(4), 25-32. https://doi.org/10.1111/1467-9302.00326

Digital television (DTV) is central to the future electronic delivery of public services in the UK. Central government has been actively promoting the use of DTV in the public sector, for example in policy statements and by funding pilot schemes to b... Read More about Delivering public services through digital television..

A new neural network and pole placement based adaptive composite controller (2002)
Presentation / Conference Contribution
Hussain, A., Zayed, A. S., & Smith, L. (2001, December). A new neural network and pole placement based adaptive composite controller. Presented at Multi Topic, IEEE International Conference, Lahore, Pakistan

The paper describes a new composite control method combining a neural network estimator with a conventional pole-placement based adaptive controller. The neural network estimation technique presented by Hussain (2000) is particularly effective when t... Read More about A new neural network and pole placement based adaptive composite controller.

A novel method for the performance control of a gas transmission compressor. (2002)
Presentation / Conference Contribution
Pearson, W. N., Armitage, A., & Henderson, D. (2002, May). A novel method for the performance control of a gas transmission compressor. Presented at ASME TURBO EXPO 2002: Controls, Diagnostics and Instrumentation, Cycle Innovations, Marine, Oil and Gas Applications

This paper presents the application of feed forward neural networks to the performance control of a gas transmission compressor. It is estimated that a global saving in compressor fuel gas of 1% could prevent the production of 6 million tonnes of CO2... Read More about A novel method for the performance control of a gas transmission compressor..