کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
694806 | 1460592 | 2006 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: The data-based mechanistic approach to the modelling, forecasting and control of environmental systems The data-based mechanistic approach to the modelling, forecasting and control of environmental systems](/preview/png/694806.png)
The paper presents a unified approach to the modelling, forecasting and control of natural and man-made environmental systems. The modelling approach exploits the author’s Data-Based Mechanistic (DBM) modelling philosophy, combined with powerful methods of recursive statistical estimation. These provide the basis for two major stages of model building: first, the critical evaluation of the over-parametrized simulation models that are currently the most common vehicle used in environmental planning and management studies; and second, the adaptive, data-based estimation of parsimonious, ‘top-down’ models that can be used for adaptive forecasting and data assimilation, as well as operational control and management system design. The associated control system design methodology is based on the Non-Minimal State Space (NMSS) approach to the design of Proportional-Integral-Plus (PIP) control systems, based on the DBM models obtained at the previous modelling stage. The paper includes a case study concerned with the modelling and control of globally averaged levels of CO2CO2 in the atmosphere.
Journal: Annual Reviews in Control - Volume 30, Issue 2, 2006, Pages 169–182