Picture of blood cells

Open Access research which pushes advances in bionanotechnology

Strathprints makes available scholarly Open Access content by researchers in the Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS) , based within the Faculty of Science.

SIPBS is a major research centre in Scotland focusing on 'new medicines', 'better medicines' and 'better use of medicines'. This includes the exploration of nanoparticles and nanomedicines within the wider research agenda of bionanotechnology, in which the tools of nanotechnology are applied to solve biological problems. At SIPBS multidisciplinary approaches are also pursued to improve bioscience understanding of novel therapeutic targets with the aim of developing therapeutic interventions and the investigation, development and manufacture of drug substances and products.

Explore the Open Access research of SIPBS. Or explore all of Strathclyde's Open Access research...

Browse by Journal or other publication

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2015 | 2009 | 2006 | 2004 | 2003
Number of items: 5.

2015

Zhang, Jinfang and Yue, Hong and Zhou, Jinglin (2015) Predictive PDF control in shaping of molecular weight distribution based-on a new modelling Algorithm. Journal of Process Control, 30. pp. 80-89. ISSN 0959-1524

2009

Vaccarini, M. and Longhi, S. and Katebi, M.R. (2009) Unconstrained networked decentralized model predictive control. Journal of Process Control, 19 (2). pp. 328-339. ISSN 0959-1524

2006

Xia, H. and Majecki, P.M. and Ordys, A.W. and Grimble, M.J. (2006) Performance assessment of MIMO systems based on I/O delay information. Journal of Process Control, 16 (4). pp. 373-383. ISSN 0959-1524

2004

Grimble, M.J. (2004) Integral minimum variance control and benchmarking. Journal of Process Control, 14 (2). pp. 177-191. ISSN 0959-1524

2003

Imsland, L. and Findeisen, R. and Bullinger, E. and Allgöwer, F. and Foss, B.A. (2003) A note on stability, robustness and performance of output feedback nonlinear model predictive control. Journal of Process Control, 13 (7). pp. 633-644. ISSN 0959-1524

This list was generated on Sat Jul 20 05:01:11 2019 BST.