Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production

Gurubel, K. J.; Sánchez, Edgar N.; Coronado-Mendoza, Alberto; Zunga, Virgilio; Sulbaran, Belkis

doi:10.1109/ijcnn.2018.8489189

2018 International Joint Conference on Neural Networks (IJCNN) 2018

DOI: 10.1109/ijcnn.2018.8489189

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Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production

K. J. Gurubel

Edgar N. Sánchez

Alberto Coronado-Mendoza

et al.

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2023

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Newton-Based Extremum Seeking for Dynamic Systems Using Kalman Filtering: Application to Anaerobic Digestion Process Control

Tian

Pan

et al. 2023

Mathematics

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In this paper, a new Newton-based extremum-seeking control for dynamic systems is proposed using Kalman filter for gradient and Hessian estimation as well as a stochastic perturbation signal with time-varying amplitude. The obtained Kalman filter based Newton extremum-seeking control (KFNESC) makes it possible to accelerate the convergence to the extremum and attenuate the steady-state oscillations. The convergence and oscillation attenuation properties of the closed-loop system with KFNESC are considered, and the proposed control is applied to a two-stages anaerobic digestion process in order to maximize the hydrogen production rate, which has better robustness and a slower steady-state oscillation with the comparison of Newton-based ESC and sliding mode ESC.

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Newton-Based Extremum Seeking for Dynamic Systems Using Kalman Filtering: Application to Anaerobic Digestion Process Control

Tian

Pan

et al. 2023

Mathematics

View full text Add to dashboard Cite

show abstract

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Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production

Cited by 1 publication

References 28 publications

Newton-Based Extremum Seeking for Dynamic Systems Using Kalman Filtering: Application to Anaerobic Digestion Process Control

Newton-Based Extremum Seeking for Dynamic Systems Using Kalman Filtering: Application to Anaerobic Digestion Process Control

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