Recurrent Analysis of Greenhouse Complex Time Series as a Complicated System
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In order to effectively manage the greenhouse complex, which is based on the synthesis of synergistic control strategies, it is necessary to conduct a number of experimental studies using nonlinear dynamics methods. In this paper a method based on the properties of a complex system – recurrence was used. This method of analysis is based on the representation of the control object properties in the form of geometric space-time structures.
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Comments
Introduction
Maintenance of technological parameters of complex control objects at optimal values in
conditions characterized by remoteness from the state of thermodynamic equilibrium and formation
of dissipative space-time structures is a topical issue at the present stage of development of
greenhouse complex automation systems [1, 2].
Handling of such objects is characterized by intermittence: alternation of determinancy,
stochasticity and randomness. The chaotic processes observed in the object handling and caused by
internal factors, in many cases play a constructive role in the adaptation of complex objects through
self-organization. To organize effective management based on the synthesis of control strategies not
forced, but topologically agreed resource-saving nature of the resonance action, it is necessary to
conduct a study of the greenhouse complex by the method of recurrent analysis.
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