Kalman Filter based Newton Extremum Seeking Control for Maximum Gases Production Rates of Anaerobic Digestion Process | Zendy

Haoping Wang | Zendy; Maobo Hu | Zendy; Yang Tian | Zendy; Иван Симеонов | Zendy; Lyudmila Kabaivanova | Zendy; Nicolaï Christov | Zendy

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Kalman Filter based Newton Extremum Seeking Control for Maximum Gases Production Rates of Anaerobic Digestion Process

Author(s) -

Haoping Wang,

Maobo Hu,

Yang Tian,

Иван Симеонов,

Lyudmila Kabaivanova,

Nicolaï Christov

Publication year - 2020

Publication title -

information technology and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.286

H-Index - 19

eISSN - 2335-884X

pISSN - 1392-124X

DOI - 10.5755/j01.itc.49.4.25367

Subject(s) - hessian matrix , control theory (sociology) , kalman filter , convergence (economics) , extended kalman filter , anaerobic digestion , process (computing) , filter (signal processing) , steady state (chemistry) , production (economics) , computer science , methane , mathematics , control (management) , chemistry , artificial intelligence , organic chemistry , economics , computer vision , operating system , economic growth , macroeconomics

This paper proposes a Kalman filter (KF) based Newton extremum seeking control (NESC) to maximize production rates of hydrogen and methane in anaerobic digestion process. The Kalman filtering algorithm is used to obtain more accurate gradient and Hessian estimates which makes possible to increase the convergence speed to the extremum and to eliminate input and output steady-state oscillations. The simulation examples demonstrate the performances of the proposed approach.

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