H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 64 Citations 24,733 419 World Ranking 424 National Ranking 18

Research.com Recognitions

Awards & Achievements

2013 - Rufus Oldenburger Medal, The American Society of Mechanical Engineers

2010 - IEEE Control Systems Award “For contributions to the theory and practice of digital and adaptive control.”

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

2002 - Fellow of the Royal Society, United Kingdom

1986 - IEEE Fellow For contributions to adaptive control and systems identification.


What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Statistics
  • Electrical engineering

The scientist’s investigation covers issues in Control theory, Adaptive control, Linear system, Mathematical optimization and Convergence. His research on Control theory frequently connects to adjacent areas such as Model predictive control. Graham C. Goodwin has included themes like Estimation theory, Discrete time and continuous time, Matrix, Stochastic control and Key in his Adaptive control study.

His studies deal with areas such as Parametrization, Transfer function, Feature and Multivariable calculus as well as Linear system. His Mathematical optimization study also includes fields such as

  • Control theory which is related to area like Nonlinear system,
  • Stochastic process that connect with fields like Computation. Graham C. Goodwin focuses mostly in the field of Convergence, narrowing it down to matters related to Bounded function and, in some cases, Tracking error and Minimum phase.

His most cited work include:

  • Adaptive filtering prediction and control (3393 citations)
  • Control System Design (1390 citations)
  • Dynamic System Identification: Experiment Design and Data Analysis (954 citations)

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

Graham C. Goodwin mainly focuses on Control theory, Mathematical optimization, Linear system, Control engineering and Adaptive control. His Control theory study frequently draws connections between adjacent fields such as Model predictive control. His work is dedicated to discovering how Mathematical optimization, Algorithm are connected with System identification and Frequency domain and other disciplines.

His Linear system research includes elements of Transfer function and Multivariable calculus. His work in Control engineering is not limited to one particular discipline; it also encompasses Control. His Adaptive control study combines topics in areas such as Convergence, Discrete time and continuous time, Stochastic control and Robust control, Robustness.

He most often published in these fields:

  • Control theory (48.56%)
  • Mathematical optimization (20.63%)
  • Linear system (14.44%)

What were the highlights of his more recent work (between 2013-2021)?

  • Control theory (48.56%)
  • Model predictive control (12.93%)
  • Applied mathematics (8.25%)

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

His scientific interests lie mostly in Control theory, Model predictive control, Applied mathematics, Mathematical optimization and Nonlinear system. The Control theory study which covers Voltage that intersects with Electronic engineering. His Model predictive control study integrates concerns from other disciplines, such as Common-mode signal, Control engineering, Power electronics, Harmonic and Inverter.

The Applied mathematics study combines topics in areas such as Zero, Sampling, Sampling and Spectral density. His work on Mathematical optimization is being expanded to include thematically relevant topics such as Bayesian probability. Control theory is closely attributed to Control system in his research.

Between 2013 and 2021, his most popular works were:

  • Robust model predictive control: reflections and opportunities (36 citations)
  • A fundamental control limitation for linear positive systems with application to Type 1 diabetes treatment (36 citations)
  • A Generalized MPC Framework for the Design and Comparison of VSI Current Controllers (34 citations)

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

  • Statistics
  • Control theory
  • Electrical engineering

His primary scientific interests are in Control theory, Model predictive control, Inverter, Voltage and Mathematical optimization. His study in the fields of Control theory, Automatic frequency control and Optimal control under the domain of Control theory overlaps with other disciplines such as Context. His research integrates issues of Compensation, Common-mode signal, Control engineering, Power electronics and Harmonic in his study of Model predictive control.

His Control engineering study combines topics from a wide range of disciplines, such as Scope, Interpretation and Electronics. His Mathematical optimization research is multidisciplinary, relying on both Stochastic process, Theoretical computer science, Bayesian probability and Nonlinear system. Graham C. Goodwin has researched Nonlinear system in several fields, including Zero, Variables and Euler's formula.

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 filtering prediction and control

Graham C. Goodwin;Kwai Sang Sin.

6699 Citations

Control System Design

Graham C. Goodwin;Stefan F. Graebe;Mario E. Salgado.

2896 Citations

Dynamic System Identification: Experiment Design and Data Analysis

Gc Goodwin;Goodwin Gc;Payne Rl.

2173 Citations

Digital control and estimation : a unified approach

Richard H. Middleton;Graham C. Goodwin.

1572 Citations

Discrete-time multivariable adaptive control

Graham Goodwin;Peter Ramadge;Peter Caines.
conference on decision and control (1979)

1175 Citations

Fundamental Limitations in Filtering and Control

Maria M. Seron;Graham C. Goodwin;J. Braslavsky.

730 Citations

Constrained Control and Estimation: An Optimisation Approach

Graham Goodwin;Mara M. Seron;Jos A. de Don.

715 Citations

Design issues in adaptive control

R.H. Middleton;G.C. Goodwin;D.J. Hill;D.Q. Mayne.
IEEE Transactions on Automatic Control (1988)

694 Citations

Improved finite word length characteristics in digital control using delta operators

R. Middleton;G. Goodwin.
IEEE Transactions on Automatic Control (1986)

578 Citations

Adaptive computed torque control for rigid link manipulators

R. Middletone;G. Goodwin.
conference on decision and control (1986)

559 Citations

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