Items where Author is "Alshahed, Osamh S."

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chaos analysis model predictive control pneumatic conveying recurrence quantification analysis sparse identification of nonlinear dynamics

Number of items: 5.

chaos analysis

Alshahed, Osamh S., Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Bradley, Michael S.A. and Armour-Chelu, David (2024) Data-driven system identification and model predictive control of pneumatic conveying using nonlinear dynamics analysis for optimised energy consumption. Powder Technology, 449:120364. ISSN 0032-5910 (Print), 1873-328X (Online) (doi:https://doi.org/10.1016/j.powtec.2024.120364)

model predictive control

Alshahed, Osamh S., Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Bradley, Michael S.A. and Armour-Chelu, David (2024) Data-driven system identification and model predictive control of pneumatic conveying using nonlinear dynamics analysis for optimised energy consumption. Powder Technology, 449:120364. ISSN 0032-5910 (Print), 1873-328X (Online) (doi:https://doi.org/10.1016/j.powtec.2024.120364)

pneumatic conveying

Alshahed, Osamh S., Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Bradley, Michael S.A. and Armour-Chelu, David (2024) Data-driven system identification and model predictive control of pneumatic conveying using nonlinear dynamics analysis for optimised energy consumption. Powder Technology, 449:120364. ISSN 0032-5910 (Print), 1873-328X (Online) (doi:https://doi.org/10.1016/j.powtec.2024.120364)

recurrence quantification analysis

Alshahed, Osamh S., Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Bradley, Michael S.A. and Armour-Chelu, David (2024) Data-driven system identification and model predictive control of pneumatic conveying using nonlinear dynamics analysis for optimised energy consumption. Powder Technology, 449:120364. ISSN 0032-5910 (Print), 1873-328X (Online) (doi:https://doi.org/10.1016/j.powtec.2024.120364)

sparse identification of nonlinear dynamics

Alshahed, Osamh S., Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Bradley, Michael S.A. and Armour-Chelu, David (2024) Data-driven system identification and model predictive control of pneumatic conveying using nonlinear dynamics analysis for optimised energy consumption. Powder Technology, 449:120364. ISSN 0032-5910 (Print), 1873-328X (Online) (doi:https://doi.org/10.1016/j.powtec.2024.120364)

This list was generated on Mon Nov 25 02:19:20 2024 UTC.