Carson Ewart, Feng David Dagan, Pons Marie-Noëlle, Soncini-Sessa Rodolfo, van Straten Gerrit
Centre for Health Informatics, City University, Northampton Square, London EC1V 0HB, UK.
School of Information Technologies, University of Sydney, Sydney, NSW 2006, Australia.
Annu Rev Control. 2006;30(1):91-101. doi: 10.1016/j.arcontrol.2006.01.003. Epub 2006 Jun 27.
The complexities of the dynamic processes and their control associated with biological and ecological systems offer many challenges for the control engineer. Over the past decades the application of dynamic modelling and control has aided understanding of their complexities. At the same time using such complex systems as test-beds for new control methods has highlighted their limitations (e.g. in relation to system identification) and has thus acted as a catalyst for methodological advance. This paper continues the theme of exploring opportunities and achievements in applying modelling and control in the bio- and ecological domains.
与生物和生态系统相关的动态过程及其控制的复杂性给控制工程师带来了诸多挑战。在过去几十年里，动态建模与控制的应用有助于人们理解这些复杂性。与此同时，将此类复杂系统用作新控制方法的试验台凸显了它们的局限性（例如在系统识别方面），从而成为方法学进步的催化剂。本文延续了在生物和生态领域应用建模与控制方面探索机遇和成果的主题。
