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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2005 | 2003 | 2002 | 2000
Number of items: 6.

2005

Martin, P. and Katebi, M.R. (2005) Multivariable PID tuning for dynamic ship positioning. Proceedings- Institute of Marine Engineering Science and Technology Part A Journal of Marine Engineering and Technology, 7. pp. 11-24. ISSN 1476-1548

Martin, P. and Katebi, M.R. (2005) Multi-variable PID tuning of dynamic ship positioning control systems. Proceedings- Institute of Marine Engineering Science and Technology Part A Journal of Marine Engineering and Technology, 1 (A7). pp. 11-24. ISSN 1476-1548

2003

Grimble, M.J. and Martin, P. (2003) Time varying optimal control of a non-linear system. In: 42nd IEEE Conference on Decision and Control 2003, 2003-12-09 - 2003-12-12.

2002

Grimble, M.J. and Martin, P. (2002) Adaptive predictive control with controllers of restricted structure. In: Fifteenth International Symposium on Mathematical Theory of Networks and Systems, 2002-08-12 - 2002-08-16.

Martin, P. and Katebi, Reza and Yamamoto, I. and Daigo, K. and Kobayashi, E. and Matsuura, M. and Hashimoto, M. and Hirayama, H. and Okamoto, N.; Katebi, R., ed. (2002) Neural networks for system identification of coupled ship dynamics. In: Control applications in marine systems 2001 (CAMS 2001). IFAC Proceedings Series . PERGAMON-ELSEVIER SCIENCE LTD, GBR, pp. 83-88. ISBN 0080432360

2000

Martin, P. and Yamamoto, I. and Katebi, M.R. and Grimble, M.J.; Blanke, Mogens and Vukic, Z. and Porzanjani, M. M. A., eds. (2000) Multivariable PI tuning in dynamic position control of ships. In: Maneuvering and control of marine craft 2000 (MCMC 2000). Elsevier Science & Technology Books, DNK. ISBN 9780080436593

This list was generated on Wed Aug 5 21:22:11 2020 BST.