D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 45 Citations 7,962 306 World Ranking 1990 National Ranking 33

Research.com Recognitions

Awards & Achievements

2011 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Control theory
  • Artificial intelligence

Dominique Bonvin mainly investigates Control theory, Mathematical optimization, Continuous optimization, Optimization problem and Probabilistic-based design optimization. His work on Control theory, Nonlinear system and Transfer function as part of general Control theory research is frequently linked to Set, bridging the gap between disciplines. Random optimization is the focus of his Mathematical optimization research.

His research on Optimization problem often connects related topics like Model predictive control. His Probabilistic-based design optimization research incorporates elements of Robust optimization, Metaheuristic, Global optimization, Multi-objective optimization and Multi-swarm optimization. In his study, Quality is inextricably linked to Terminal, which falls within the broad field of Key.

His most cited work include:

  • Dynamic optimization of batch processes I. Characterization of the nominal solution (375 citations)
  • Dynamic optimization of batch processes: II. Role of measurements in handling uncertainty (292 citations)
  • Optimal operation of batch reactors—a personal view (247 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Control theory, Mathematical optimization, Optimization problem, Adaptation and Control engineering. His work in the fields of Control theory, such as Control theory, Nonlinear system and Optimal control, overlaps with other areas such as Set. His work on Continuous optimization, Probabilistic-based design optimization and Random optimization as part of his general Mathematical optimization study is frequently connected to Context, thereby bridging the divide between different branches of science.

His Continuous optimization study results in a more complete grasp of Multi-swarm optimization. His Multi-objective optimization research extends to the thematically linked field of Probabilistic-based design optimization. His study connects Control and Control engineering.

He most often published in these fields:

  • Control theory (46.24%)
  • Mathematical optimization (32.39%)
  • Optimization problem (13.62%)

What were the highlights of his more recent work (between 2015-2021)?

  • Mathematical optimization (32.39%)
  • Control theory (46.24%)
  • Adaptation (10.33%)

In recent papers he was focusing on the following fields of study:

Dominique Bonvin mostly deals with Mathematical optimization, Control theory, Adaptation, Optimization problem and Context. The concepts of his Mathematical optimization study are interwoven with issues in Estimation theory, Monotonic function, Constraint and Parametric statistics. His Estimation theory study also includes fields such as

  • System identification that intertwine with fields like Nonlinear system, Biological system and Computation,
  • Convex optimization which is related to area like Local optimum and Polynomial,
  • Applied mathematics which intersects with area such as Invariant.

The various areas that Dominique Bonvin examines in his Control theory study include Kite, Steady state and Transient. His work in Adaptation addresses issues such as Uncertain systems, which are connected to fields such as Distributed computing. The Optimization problem study combines topics in areas such as Control engineering, Quadratic equation, Pontryagin's minimum principle and Constrained optimization.

Between 2015 and 2021, his most popular works were:

  • On turnpike and dissipativity properties of continuous-time optimal control problems (67 citations)
  • Challenges in process optimization for new feedstocks and energy sources (56 citations)
  • Modifier Adaptation for Real-Time Optimization—Methods and Applications (52 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Control theory
  • Artificial intelligence

Dominique Bonvin spends much of his time researching Mathematical optimization, Control theory, Adaptation, Context and Optimization problem. Dominique Bonvin combines subjects such as Work, Estimation theory, Nonlinear system, Computation and Monotonic function with his study of Mathematical optimization. His Nonlinear system research is multidisciplinary, incorporating perspectives in Iterative and incremental development, Extrapolation and System identification.

His biological study spans a wide range of topics, including Path and Transient. His Adaptation research incorporates themes from Process modeling, Gas compressor and Parametric statistics. His Optimization problem research includes themes of Pontryagin's minimum principle, Quadratic equation, Karush–Kuhn–Tucker conditions, Parametrization and Limit.

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.

Best Publications

Dynamic optimization of batch processes I. Characterization of the nominal solution

Balasubramaniam Srinivasan;S. Palanki;Dominique Bonvin.
Computers & Chemical Engineering (2003)

525 Citations

Dynamic optimization of batch processes: II. Role of measurements in handling uncertainty

Balasubramaniam Srinivasan;Dominique Bonvin;E. Visser;S. Palanki.
Computers & Chemical Engineering (2003)

405 Citations

Optimal operation of batch reactors—a personal view

Dominique Bonvin.
Journal of Process Control (1998)

391 Citations

Modifier-Adaptation Methodology for Real-Time Optimization

A. Marchetti;B. Chachuat;D. Bonvin.
Industrial & Engineering Chemistry Research (2009)

247 Citations

Adaptation strategies for real-time optimization

Benoît Chachuat;Balasubramaniam Srinivasan;Dominique Bonvin.
Computers & Chemical Engineering (2009)

240 Citations

On the Rank Deficiency and Rank Augmentation of the Spectral Measurement Matrix

M. Amrhein;B. Srinivasan;D. Bonvin;M.M. Schumacher.
Chemometrics and Intelligent Laboratory Systems (1996)

238 Citations

Iterative Correlation-Based Controller Tuning

A. Karimi;L. Miskovic;D. Bonvin.
International Journal of Adaptive Control and Signal Processing (2004)

180 Citations

Control and optimization of batch processes

D. Bonvin.
IEEE Control Systems Magazine (2006)

162 Citations

Non-iterative data-driven controller tuning using the correlation approach

Alireza Karimi;Klaske van Heusden;Dominique Bonvin.
european control conference (2007)

162 Citations

Use of measurements for enforcing the necessary conditions of optimality in the presence of constraints and uncertainty

Grégory François;Balasubrahmanya Srinivasan;Dominique Bonvin.
Journal of Process Control (2005)

156 Citations

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