D-Index & Metrics Best Publications
Karl Johan Åström

Karl Johan Åström

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
Electronics and Electrical Engineering D-index 86 Citations 80,887 334 World Ranking 102 National Ranking 1

Research.com Recognitions

Awards & Achievements

2005 - Fellow of the International Federation of Automatic Control (IFAC)

1995 - Member of the National Academy of Engineering For contributions to identification, stochastic, and adaptive control and their incorporation in control engineering practice.

1993 - IEEE Medal of Honor For fundamental contributions to theory and applications of adaptive control technology.”

1990 - IEEE Control Systems Award "For fundamental contributions in control theory with emphasis on its practical application."

1985 - Rufus Oldenburger Medal, The American Society of Mechanical Engineers

1979 - IEEE Fellow For comprehensive contributions to stochastic control theory.

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Statistics

His primary areas of investigation include Control theory, Control engineering, PID controller, Adaptive control and Control. As part of his studies on Control theory, he often connects relevant subjects like Simple. His Control engineering research is multidisciplinary, incorporating elements of Stability, Process control and Automatic control.

The PID controller study combines topics in areas such as Frequency response, Automatic tuning, Expert system and Noise measurement. His Adaptive control study incorporates themes from Engineering drawing, Compensation, Dynamical friction and Adaptive system. His Control study combines topics in areas such as Software, Engineering ethics and Outreach.

His most cited work include:

  • Adaptive Control (5057 citations)
  • Computer-Controlled Systems: Theory and Design (2904 citations)
  • PID Controllers: Theory, Design, and Tuning (2785 citations)

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

Karl Johan Åström mostly deals with Control theory, Control engineering, PID controller, Adaptive control and Control. Karl Johan Åström frequently studies issues relating to Relay and Control theory. His Control engineering research is multidisciplinary, relying on both Control system, Process control, Process and Automatic control.

His research brings together the fields of Adaptive system and Adaptive control.

He most often published in these fields:

  • Control theory (38.00%)
  • Control engineering (30.00%)
  • PID controller (12.14%)

What were the highlights of his more recent work (between 2001-2021)?

  • Control theory (38.00%)
  • Control engineering (30.00%)
  • PID controller (12.14%)

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

Karl Johan Åström mainly focuses on Control theory, Control engineering, PID controller, Artificial intelligence and Robustness. His study in Control theory is interdisciplinary in nature, drawing from both Relay and Pendulum. His research in Control engineering is mostly focused on Adaptive control.

The various areas that Karl Johan Åström examines in his PID controller study include Process control, Process, Simple, Mathematical optimization and Design methods. His biological study spans a wide range of topics, including Computer vision and Pattern recognition. His Robustness research incorporates elements of Noise measurement, Time constant and Filter.

Between 2001 and 2021, his most popular works were:

  • Feedback Systems: An Introduction for Scientists and Engineers (1362 citations)
  • Advanced PID Control (1051 citations)
  • Comparison of Riemann and Lebesgue sampling for first order stochastic systems (786 citations)

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

  • Control theory
  • Artificial intelligence
  • Statistics

His primary scientific interests are in Control theory, PID controller, Control engineering, Control theory and Robustness. His Control theory study combines topics from a wide range of disciplines, such as Pendulum, Control signal and Scalar. His PID controller research integrates issues from Frequency response, Process control, Mathematical optimization and Gain scheduling.

His Control engineering research incorporates elements of Interactive Learning, Stability and Human–computer interaction. His Control theory research focuses on Simple and how it relates to Parametrization and Output feedback. The study incorporates disciplines such as Transfer function, Noise measurement and Control system design in addition to Robustness.

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

Adaptive Control

Karl Johan Astrom;Bjorn Wittenmark.
(1989)

11023 Citations

Computer-Controlled Systems: Theory and Design

Karl J. Åström;Björn Wittenmark.
(1996)

9237 Citations

PID Controllers: Theory, Design, and Tuning

Karl Johan Åström;Tore Hägglund.
(1995)

7559 Citations

A new model for control of systems with friction

C. Canudas de Wit;H. Olsson;K.J. Astrom;P. Lischinsky.
IEEE Transactions on Automatic Control (1995)

4191 Citations

Introduction to Stochastic Control Theory

Karl Johan Åström.
(1970)

4144 Citations

Advanced PID Control

Karl Johan Åström;Tore Hägglund.
(2005)

3014 Citations

Feedback Systems: An Introduction for Scientists and Engineers

Karl Johan Astrom;Richard M. Murray.
(2008)

2730 Citations

On self tuning regulators

K. J. Åström;B. Wittenmark.
Automatica (1973)

1974 Citations

System identification-A survey

K. J. Åström;P. Eykhoff.
Automatica (1971)

1950 Citations

Automatic Tuning of Simple Regulators

Karl Johan Åström;Tore Hägglund.
IFAC Proceedings Volumes (1984)

1946 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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