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Advances in Control Technologies for Wastewater Treatment Processes:Status, Challenges, and Perspectives 被引量:10
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作者 abdelhamid iratni Ni-Bin Chang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2019年第2期337-363,共27页
This paper presents a thorough review of control technologies that have been applied to wastewater treatment processes in the environmental engineering regime in the past four decades. It aims to provide a comprehensi... This paper presents a thorough review of control technologies that have been applied to wastewater treatment processes in the environmental engineering regime in the past four decades. It aims to provide a comprehensive technological review for both water engineering professionals and control specialists, giving rise to a suite of up-to-date pathways to impact this field in light of the classified technology hubs. The assessment was conducted with respect to linear control, linearizing control,nonlinear control, and artificial intelligence-based control. The application domain of each technology hub was summarized into a set of comparative tables for a holistic assessment. Challenges and perspectives were offered to these field engineers to help orient their future endeavor. 展开更多
关键词 Control TECHNOLOGIES system engineering WASTEWATER treatment
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Model variables identification of a gas turbine using a subspace approach based on input/output data measurements 被引量:1
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作者 Hakim Bagua Ahmed Hafaifa +1 位作者 abdelhamid iratni Mouloud Guemana 《Control Theory and Technology》 EI CSCD 2021年第2期183-196,共14页
This paper deals with a state model identification of a gas turbine used for gas transport, using a subspace approach of the state space model. This method provides a reliable and robust state representation of the mo... This paper deals with a state model identification of a gas turbine used for gas transport, using a subspace approach of the state space model. This method provides a reliable and robust state representation of the model, taking advantage of its benefits in the control, monitoring, and supervision of this machine. The model for each variable is set so that the state matrices associated with the gas turbine model are determined from their real input/output data. The comparison of the obtained identification results with those of the actual turbine operation serves to validate the proposed model in this work. This numerical algorithm of the subspace identification method is full of information and more accurate in terms of residual modeling error, and expresses a very high level of confidence in the identified turbine system dynamics. Hence, the controllability and observability tests of turbine operation for different input/output variables allowed to validate the real-time operating stability of the turbine. 展开更多
关键词 System identification Subspace identification State space model Gas turbine N4SID algorithm
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