What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Mathematical optimization
Mathematical optimization, Optimal control, Optimization problem, Nonlinear system and Dissipative system are his primary areas of study.
In general Mathematical optimization, his work in Solver is often linked to Eigenfunction linking many areas of study.
His Optimal control research is multidisciplinary, incorporating perspectives in Quality, Control variable, Task, Discretization and Robustness.
As part of one scientific family, Antonio A. Alonso deals mainly with the area of Robustness, narrowing it down to issues related to the Open-loop controller, and often Global optimization.
His Optimization problem research includes themes of Control and Seven Basic Tools of Quality.
His Dissipative system research incorporates elements of Subspace topology, Algebraic structure, Linear subspace and Optimal design.
His most cited work include:
- Dynamic optimization of bioprocesses: efficient and robust numerical strategies. (164 citations)
- Process systems and passivity via the Clausius-Planck inequality (163 citations)
- Improving food processing using modern optimization methods (140 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Control theory, Nonlinear system, Control engineering and Optimal control.
His Mathematical optimization research incorporates themes from Mathematical model, Nonlinear programming and Distributed parameter system.
His work on Passivity, Nonlinear control and Robust control is typically connected to Process control as part of general Control theory study, connecting several disciplines of science.
Antonio A. Alonso focuses mostly in the field of Nonlinear system, narrowing it down to topics relating to Robustness and, in certain cases, Control variable.
His Control engineering study incorporates themes from Thermal and Process engineering.
His studies deal with areas such as Quality and Open-loop controller as well as Optimal control.
He most often published in these fields:
- Mathematical optimization (29.95%)
- Control theory (21.93%)
- Nonlinear system (19.79%)
What were the highlights of his more recent work (between 2014-2021)?
- Biological system (8.02%)
- Master equation (3.21%)
- Mathematical optimization (29.95%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Biological system, Master equation, Mathematical optimization, Applied mathematics and Quality.
His research in Biological system intersects with topics in Stochastic modelling and Bistability.
Antonio A. Alonso frequently studies issues relating to Nonlinear system and Mathematical optimization.
Antonio A. Alonso interconnects Stability and Stochastic simulation in the investigation of issues within Applied mathematics.
His Quality research integrates issues from Food quality, Optimization problem and Reliability engineering.
Antonio A. Alonso has included themes like Maximization, Food safety, Product and Minification in his Optimization problem study.
Between 2014 and 2021, his most popular works were:
- Valorisation of fish by-products against waste management treatments--Comparison of environmental impacts. (41 citations)
- Chitin production from crustacean biomass: Sustainability assessment of chemical and enzymatic processes (38 citations)
- Stochastic modeling and numerical simulation of gene regulatory networks with protein bursting. (31 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Mathematical analysis
His scientific interests lie mostly in Biological system, Master equation, Hake, Mathematical model and Waste management.
His Biological system study integrates concerns from other disciplines, such as Closed-form expression, Stochastic modelling and Control theory.
The concepts of his Mathematical model study are interwoven with issues in System identification, Identification, Estimation theory, Identifiability and Entropy.
Antonio A. Alonso combines subjects such as Experimental data, Task and Optimal control with his study of System identification.
His Waste management research is multidisciplinary, relying on both Biomass, Sustainability and Environmental impact assessment.
Antonio A. Alonso performs integrative Mathematical optimization and Gene Circuits research in his work.
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