D-Index & Metrics Best Publications
Richard D. Braatz

Richard D. Braatz

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 73 Citations 20,481 400 World Ranking 229 National Ranking 110

Research.com Recognitions

Awards & Achievements

2019 - Member of the National Academy of Engineering For contributions to diagnosis and control of large-scale and molecular processes for materials, microelectronics and pharmaceuticals manufacturing.

2008 - Fellow of the American Association for the Advancement of Science (AAAS)

2008 - Fellow of the International Federation of Automatic Control (IFAC)

2007 - IEEE Fellow For contributions to robust control of industrial systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Control theory

His main research concerns Crystallization, Control theory, Optimal control, Analytical chemistry and Nucleation. His Crystallization research integrates issues from Supersaturation, Feedback control, Biological system, Crystal and Process engineering. His studies deal with areas such as Process control, Quadratic programming, Parametric statistics and Model predictive control as well as Control theory.

Richard D. Braatz combines subjects such as Control, Robustness and Nonlinear system with his study of Optimal control. His Nucleation research includes themes of Mechanics, Computational fluid dynamics and Micromixing. His Mathematical optimization study integrates concerns from other disciplines, such as Probability distribution, Open-loop controller and Polynomial chaos.

His most cited work include:

  • Fault Detection and Diagnosis in Industrial Systems (1291 citations)
  • Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis (488 citations)
  • A tutorial on linear and bilinear matrix inequalities (463 citations)

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

Richard D. Braatz mostly deals with Control theory, Mathematical optimization, Crystallization, Model predictive control and Optimal control. His study in Process control extends to Control theory with its themes. His research investigates the link between Mathematical optimization and topics such as Polynomial chaos that cross with problems in Applied mathematics.

His Crystallization research includes themes of Nucleation, Supersaturation, Mechanics, Crystal and Process engineering. Many of his studies on Optimal control apply to Distributed parameter system as well. His study on Robust control is covered under Control engineering.

He most often published in these fields:

  • Control theory (24.71%)
  • Mathematical optimization (14.86%)
  • Crystallization (14.52%)

What were the highlights of his more recent work (between 2016-2021)?

  • Model predictive control (9.02%)
  • Crystallization (14.52%)
  • Control theory (24.71%)

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

Model predictive control, Crystallization, Control theory, Applied mathematics and Polynomial chaos are his primary areas of study. His Model predictive control research is multidisciplinary, relying on both Control engineering and Battery. His work carried out in the field of Crystallization brings together such families of science as Nucleation, Suspension, Mixing, Mechanics and Crystal.

His Control theory research is multidisciplinary, incorporating perspectives in Control and Voltage. Within one scientific family, Richard D. Braatz focuses on topics pertaining to Nonlinear system under Applied mathematics, and may sometimes address concerns connected to Statistical physics. His Polynomial chaos study also includes

  • Probabilistic logic which intersects with area such as Parametric statistics, Dynamical systems theory, Fault detection and isolation, Robustness and Observer,
  • Linear system that connect with fields like Stochastic process and Mathematical optimization.

Between 2016 and 2021, his most popular works were:

  • Data-driven prediction of battery cycle life before capacity degradation (223 citations)
  • Closed-loop optimization of fast-charging protocols for batteries with machine learning. (77 citations)
  • Stochastic model predictive control with joint chance constraints (42 citations)

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

  • Statistics
  • Artificial intelligence
  • Electrical engineering

The scientist’s investigation covers issues in Crystallization, Control theory, Artificial intelligence, Model predictive control and Data mining. His Crystallization research integrates issues from Suspension, Mixing, Bayesian probability, Mechanics and Crystal. His Control theory study combines topics in areas such as Parametric statistics, Lithium-ion battery, Polynomial chaos, Control and Data stream mining.

His study explores the link between Control and topics such as Robustness that cross with problems in Probabilistic logic. His studies deal with areas such as Fault, Fault detection and isolation, Machine learning and Pattern recognition as well as Artificial intelligence. His Model predictive control study combines topics from a wide range of disciplines, such as Joint, Time complexity, State, Piecewise affine and Battery management systems.

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

Fault Detection and Diagnosis in Industrial Systems

Leo H. Chiang;Evan L. Russell;Richard D. Braatz.
Measurement Science and Technology (2001)

2477 Citations

A tutorial on linear and bilinear matrix inequalities

Jeremy G. VanAntwerp;Richard D. Braatz.
Journal of Process Control (2000)

684 Citations

Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective

Venkatasailanathan Ramadesigan;Paul W. C. Northrop;Sumitava De;Shriram Santhanagopalan.
Journal of The Electrochemical Society (2012)

654 Citations

Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis

Leo H Chiang;Evan L Russell;Richard D Braatz.
Chemometrics and Intelligent Laboratory Systems (2000)

652 Citations

Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Evan L. Russell;Leo H. Chiang;Richard D. Braatz.
(2000)

519 Citations

Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis

Evan L. Russell;Leo H. Chiang;Richard D. Braatz.
Chemometrics and Intelligent Laboratory Systems (2000)

497 Citations

End‐to‐End Continuous Manufacturing of Pharmaceuticals: Integrated Synthesis, Purification, and Final Dosage Formation

Salvatore Mascia;Patrick L. Heider;Haitao Zhang;Richard Lakerveld.
Angewandte Chemie (2013)

469 Citations

First-principles and direct design approaches for the control of pharmaceutical crystallization

Mitsuko Fujiwara;Zoltan K. Nagy;Jie W. Chew;Richard D. Braatz.
Journal of Process Control (2005)

354 Citations

Robust nonlinear model predictive control of batch processes

Zoltan K. Nagy;Richard D. Braatz.
Aiche Journal (2003)

318 Citations

Data-driven prediction of battery cycle life before capacity degradation

Kristen A. Severson;Peter M. Attia;Norman Jin;Nicholas Perkins.
Nature Energy (2019)

296 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Richard D. Braatz

Zoltan K. Nagy

Zoltan K. Nagy

Purdue University West Lafayette

Publications: 154

Xue Z. Wang

Xue Z. Wang

University of Leeds

Publications: 54

Kai Sundmacher

Kai Sundmacher

Max Planck Society

Publications: 45

Andreas Seidel-Morgenstern

Andreas Seidel-Morgenstern

Max Planck Society

Publications: 44

Zhihuan Song

Zhihuan Song

Zhejiang University

Publications: 42

Steven X. Ding

Steven X. Ding

University of Duisburg-Essen

Publications: 42

Furong Gao

Furong Gao

Hong Kong University of Science and Technology

Publications: 41

Zhiqiang Ge

Zhiqiang Ge

Zhejiang University

Publications: 39

Venkat R. Subramanian

Venkat R. Subramanian

The University of Texas at Austin

Publications: 35

S. Joe Qin

S. Joe Qin

City University of Hong Kong

Publications: 33

Shen Yin

Shen Yin

Norwegian University of Science and Technology

Publications: 32

Guy A. Dumont

Guy A. Dumont

University of British Columbia

Publications: 32

Rolf Findeisen

Rolf Findeisen

Otto-von-Guericke University Magdeburg

Publications: 32

Chunhui Zhao

Chunhui Zhao

Zhejiang University

Publications: 31

Donghua Zhou

Donghua Zhou

Shandong University of Science and Technology

Publications: 31

Biao Huang

Biao Huang

University of Alberta

Publications: 30

Something went wrong. Please try again later.