Analysis of multivariable Smith predictors using MATLAB Containers

Containers are structured m-files which allow `data' and `methods' to be stored persistently. Containers have a user-defined class structure, so that one can have several Containers of the same class, all structurally similar, and there is a mechanism for interaction with Containers in the style of database transactions. The use of MATLAB Containers to analyze multivariable Smith predictors is discussed.

Designing for resilience: Using a Delphi study to identify resilience issues for hospital designs in a changing climate

Hospitals are facing a triple challenge - meeting mandatory climate change targets and refurbishing aging infrastructure while simultaneously providing quality of care. With the potential of more frequent disruptive weather events, a UK government-funded project was launched in 2009 to investigate practical strategies for the National Health Service to increase its resilience to climate change. This paper presents the process of defining resilience by using the Delphi method and demonstrates its applicability within healthcare design. A Delphi survey is nearing completion which has determined the significant resilience issues and temperature ranges for ideal and critical conditions. Our preliminary findings identified six priorities that lead towards increasing resilience. Using the Delphi method can be a useful tool in clarifying the focus for healthcare design considerations. Copyright © 2002-2012 The Design Society. All rights reserved.