Multi-Objective Integrated Robust Optimal Control for Wastewater Treatment Processes

Multi-objective optimal control is widely applied in wastewater treatment processes (WWTPs) to ensure the security and stability of the operation processes. However, for the existing stepwise multi-objective optimal control (SMOC) algorithms, the unknown disturbances will further influence the obtai...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 21; H. 2; S. 1 - 12
Hauptverfasser:	Chen, Cong, Han, Honggui, Sun, Haoyuan, Yang, Hongyan, Qiao, Junfei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Control theory Cost function Costs disturbance observer Disturbance observers Industrial applications MIROC Model accuracy model approximator Multi-objective optimal control Multiple objective analysis Nonlinear dynamics Optimal control Optimization Performance degradation Performance enhancement Prediction models Predictive control Predictive models Process control Robust control Stability analysis Wastewater treatment Water treatment
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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