His scientific interests lie mostly in Control theory, Model predictive control, Mathematical optimization, Process control and Process. As a part of the same scientific family, Luis A. Ricardez-Sandoval mostly works in the field of Control theory, focusing on Flue gas and, on occasion, Heuristic and Heuristics. With his scientific publications, his incorporates both Model predictive control and Control engineering.
His research investigates the connection with Control engineering and areas like Engineering optimization which intersect with concerns in Robust control. His study in the fields of Probabilistic-based design optimization, Constrained optimization and Dynamic programming under the domain of Mathematical optimization overlaps with other disciplines such as Optimal design and Design control. His study explores the link between Process and topics such as Control system that cross with problems in Operability, Controllability, Integrated gasification combined cycle and Process assessment.
His primary scientific interests are in Mathematical optimization, Control theory, Process engineering, Process and Optimal design. His Mathematical optimization study frequently intersects with other fields, such as Process design. In the subject of general Control theory, his work in Robust control is often linked to Model predictive control, Decentralised system and Selection, thereby combining diverse domains of study.
His Process engineering research is multidisciplinary, incorporating elements of Combustion, Flue gas, Sensitivity, Wood gas generator and Heat transfer. In his study, Control engineering is strongly linked to Chemical process, which falls under the umbrella field of Process. His Optimization problem research incorporates themes from Scheduling and Nonlinear programming.
Luis A. Ricardez-Sandoval focuses on Mathematical optimization, Chemical engineering, Control theory, Optimization problem and Model predictive control. His work on Optimal control and Scheduling as part of general Mathematical optimization research is often related to Parametric statistics and Column, thus linking different fields of science. The various areas that Luis A. Ricardez-Sandoval examines in his Chemical engineering study include Combustion, Selectivity, Syngas and Adsorption.
Process engineering is closely connected to Purge in his research, which is encompassed under the umbrella topic of Combustion. The Control theory study combines topics in areas such as Flow and Transient. His Process design research is multidisciplinary, relying on both Local optimum and Chemical process.
His primary areas of study are Trust region, Control theory, Visible spectrum, Photochemistry and Chemical engineering. Luis A. Ricardez-Sandoval integrates many fields, such as Trust region and engineering, in his works. His research combines Post combustion and Control theory.
His Boron nitride research extends to Photochemistry, which is thematically connected. His Chemical engineering research is multidisciplinary, incorporating elements of Heterogeneous catalysis, Furfuryl alcohol and Adsorption. His Adsorption research is multidisciplinary, incorporating perspectives in Bimetallic strip, Pyrolysis and Product distribution.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Pyrrolic-structure enriched nitrogen doped graphene for highly efficient next generation supercapacitors
Fathy M. Hassan;Victor Chabot;Jingde Li;Brian Kihun Kim.
Journal of Materials Chemistry (2013)
Dynamic modelling and control of MEA absorption processes for CO2 capture from power plants
Thanita Nittaya;Peter L. Douglas;Eric Croiset;Luis A. Ricardez-Sandoval.
Fuel (2014)
Dynamic simulation of MEA absorption process for CO2 capture from power plants
Noorlisa Harun;Thanita Nittaya;Peter L. Douglas;Eric Croiset.
International Journal of Greenhouse Gas Control (2012)
Integration of design and control for chemical processes: A review of the literature and some recent results ☆
Luis A. Ricardez-Sandoval;H. M. Budman;P. L. Douglas.
Annual Reviews in Control (2009)
Methane dissociation on Ni (1 0 0), Ni (1 1 1), and Ni (5 5 3): A comparative density functional theory study
Jingde Li;Eric Croiset;Luis Ricardez-Sandoval.
Journal of Molecular Catalysis A-chemical (2012)
Controllability and optimal scheduling of a CO2 capture plant using model predictive control
M. Hossein Sahraei;L.A. Ricardez-Sandoval.
International Journal of Greenhouse Gas Control (2014)
Simultaneous design and MPC-based control for dynamic systems under uncertainty: A stochastic approach
Sami S. Bahakim;Luis A. Ricardez-Sandoval.
Computers & Chemical Engineering (2014)
A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty
Luis A. Ricardez-Sandoval;P. L. Douglas;H. M. Budman.
Computers & Chemical Engineering (2011)
A survey on current advanced IGCC power plant technologies, sensors and control systems
M. Hossein Sahraei;David McCalden;Robin Hughes;L.A. Ricardez-Sandoval.
Fuel (2014)
Uncertainty analysis and robust optimization of multiscale process systems with application to epitaxial thin film growth
Shabnam Rasoulian;Luis Alberto Ricardez-Sandoval.
Chemical Engineering Science (2014)
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