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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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Number of items: 6.

Article

Fei, Weiyin and Hu, Liangjian and Mao, Xuerong and Shen, Mingxuan (2018) Generalised criteria on delay dependent stability of highly nonlinear hybrid stochastic systems. International Journal of Robust and Nonlinear Control. pp. 1-18. ISSN 1049-8923 (In Press)

He, F. and Brown, M. and Yue, H., Chinese NSFC Project Grant Number: 30770560 (Funder) (2010) Maximin and Bayesian robust experimental design for measurement set selection in modelling biochemical regulatory systems. International Journal of Robust and Nonlinear Control, 20 (9). pp. 1059-1078. ISSN 1049-8923

Grimble, M.J. (2007) Robust and nonlinear control literature survey (No. 1). International Journal of Robust and Nonlinear Control, 17 (12). pp. 1157-1160. ISSN 1049-8923

Kouvaritaks, B. and Cannon, M. and Grimble, M.J. and Bulut, B. (2003) Nonlinear predictive control of hot strip rolling mill. International Journal of Robust and Nonlinear Control, 13 (3-4). pp. 365-380. ISSN 1049-8923

Grimble, M.J. (2003) Robust nonlinear control 2003. International Journal of Robust and Nonlinear Control, 13. p. 689. ISSN 1049-8923

Katebi, M.R. and Yamamoto, I. and Matsuura, M. and Grimble, M.J. and Hirayama, H. and Okamoto, N. (2001) Robust dynamic ship positioning control system design and applications. International Journal of Robust and Nonlinear Control, 11. pp. 1257-1284. ISSN 1049-8923

This list was generated on Wed Aug 5 09:40:51 2020 BST.