Case study of learning entropy for adaptive novelty detection in solid-fuel combustion control
I Bukovsky, C Oswald - Intelligent Systems in Cybernetics and Automation …, 2015 - Springer
Intelligent Systems in Cybernetics and Automation Theory: Proceedings of the …, 2015•Springer
This paper deals with the case study of usability of the Learning Entropy approach for the
adaptive novelty detection in MIMO dynamical systems. The novelty detection is studied for
typical parameters of linear systems including time delay. The solid-fuel combustion process
is selected as a representative of typical non-linear dynamic MIMO system. The complex
mathematical model of a biomass-fired 100kW boiler is used for verification of the potentials
of the proposed method, and the motivation for novelty detection in solid-fuel combustion …
adaptive novelty detection in MIMO dynamical systems. The novelty detection is studied for
typical parameters of linear systems including time delay. The solid-fuel combustion process
is selected as a representative of typical non-linear dynamic MIMO system. The complex
mathematical model of a biomass-fired 100kW boiler is used for verification of the potentials
of the proposed method, and the motivation for novelty detection in solid-fuel combustion …
Abstract
This paper deals with the case study of usability of the Learning Entropy approach for the adaptive novelty detection in MIMO dynamical systems. The novelty detection is studied for typical parameters of linear systems including time delay. The solid-fuel combustion process is selected as a representative of typical non-linear dynamic MIMO system. The complex mathematical model of a biomass-fired 100kW boiler is used for verification of the potentials of the proposed method, and the motivation for novelty detection in solid-fuel combustion processes is discussed in this paper.
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