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Control system approaches to ecological systems analysis: Invariants and frequency response
Authors:E.W. Tollner   C. Kazanci   J.R. Schramski  B.C. Patten
Affiliation:aDriftmier Engineering Center, Biol. & Agr. Engr. Dept, University of Georgia, Athens, GA 30602, United States;bDriftmier Engineering Center, Faculty of Engineering and Department of Mathematics, University of Georgia, Athens, GA 30602, United States;cFaculty of Engineering, Driftmier Engineering Center, University of Georgia, Athens, GA 30602, United States;dOdum School of Ecology, University of Georgia, Athens, GA 30602, United States
Abstract:The steady-state assumption is a mainstay for the analysis of ecological systems with more than three or four states. However, it is well accepted in ecology that inputs to large systems come in pulses assumed to have a reasonably constant magnitude and frequency. Steady pulse inputs and the use of electro-chemical–mechanical control systems methodology enables limited short term dynamic responses of ecological systems of a scale often occurring in systems of potential engineering importance to be analyzed. This paper explores and presents a survey of multi-input–multi-output (MIMO) control systems analysis of ecosystem network models to better understand pulse frequency issues and further develop experimentally verifiable approaches to testing the MIMO concept. The analysis process is demonstrated using two network model exemplars. Two aspects of MIMO analyses appear relevant to understanding ecological systems: (1) Eigenvalue invariant analyses and singular value decomposition (SVD) analyses enable assessment of stability and relative strength of states. Eigenvalues reflect time constants and provide a check on experimentally determined system matrices. (2) Analysis of SVD versus frequency for each output indicates maximum pulse frequencies that allow system components to benefit from pulsing. As a group, MIMO analyses complement other analytical methods and provide a theoretical systems focus convenient for analyzing ecosystems from an engineering perspective.
Keywords:State space   Control theory   Network environ analysis   Linear systems
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