H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 109 Citations 65,923 544 World Ranking 27 National Ranking 16

Research.com Recognitions

Awards & Achievements

2015 - Fellow of the Royal Academy of Engineering (UK)

2015 - Rufus Oldenburger Medal, The American Society of Mechanical Engineers

2011 - Richard E. Bellman Control Heritage Award

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

2005 - IEEE Control Systems Award “For pioneering contributions to the theory and application of robust process, model predictive, and hybrid systems control.”

2005 - IEEE Fellow For contributions to robust and model predictive control and control of hybrid systems.

1993 - Member of the National Academy of Engineering For analysis of the effects of design on process operability and the development of techniques for robust process control.

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Artificial intelligence

The scientist’s investigation covers issues in Control theory, Model predictive control, Mathematical optimization, Optimal control and Control engineering. Control theory is represented through his Control theory, Control system, Hybrid system, Robust control and Nonlinear system research. In his study, Direct torque control is inextricably linked to Power electronics, which falls within the broad field of Model predictive control.

His Mathematical optimization research is multidisciplinary, incorporating elements of Convex optimization, Piecewise linear function and Affine transformation. In his study, Bellman equation is strongly linked to Discrete time and continuous time, which falls under the umbrella field of Optimal control. His Internal model study in the realm of Control engineering interacts with subjects such as Control.

His most cited work include:

  • Model predictive control: theory and practice—a survey (2670 citations)
  • Robust process control (2642 citations)
  • The explicit linear quadratic regulator for constrained systems (2502 citations)

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

His main research concerns Control theory, Model predictive control, Mathematical optimization, Optimal control and Control engineering. His Control theory study is mostly concerned with Control theory, Nonlinear system, Control system, Robust control and Robustness. His Model predictive control research is multidisciplinary, relying on both Computational complexity theory, Optimization problem and Linear system.

His studies deal with areas such as Stability, Computation and Hybrid system as well as Mathematical optimization. The study incorporates disciplines such as Dynamic programming and Constrained optimization in addition to Optimal control. His Control engineering research is multidisciplinary, incorporating perspectives in Process control and Control.

He most often published in these fields:

  • Control theory (47.13%)
  • Model predictive control (30.91%)
  • Mathematical optimization (28.48%)

What were the highlights of his more recent work (between 2010-2021)?

  • Mathematical optimization (28.48%)
  • Model predictive control (30.91%)
  • Control theory (47.13%)

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

His primary areas of study are Mathematical optimization, Model predictive control, Control theory, Control engineering and Optimal control. His research integrates issues of Linear system, Electric power system, Affine transformation, Stability and Quadratic equation in his study of Mathematical optimization. His Quadratic equation research includes themes of Artificial neural network, Semidefinite programming and Robustness.

The various areas that Manfred Morari examines in his Model predictive control study include Computational complexity theory, Hybrid system, Nonlinear system, Optimization problem and Solver. His study in Control theory is interdisciplinary in nature, drawing from both Power, Quadratic programming and Computation. He usually deals with Power and limits it to topics linked to Wind power and Tractive force.

Between 2010 and 2021, his most popular works were:

  • Use of model predictive control and weather forecasts for energy efficient building climate control (765 citations)
  • Multi-Parametric Toolbox 3.0 (604 citations)
  • Predictive Control for Linear and Hybrid Systems (498 citations)

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

  • Control theory
  • Artificial intelligence
  • Electrical engineering

Manfred Morari focuses on Model predictive control, Mathematical optimization, Control theory, Control engineering and Control theory. The study incorporates disciplines such as Computational complexity theory, Software, Solver and Nonlinear system in addition to Model predictive control. His research in Mathematical optimization intersects with topics in Probabilistic logic, Electric power system, Robustness and Convex optimization.

His research investigates the connection between Control theory and topics such as Power that intersect with issues in Steady state and Aerospace engineering. Manfred Morari works mostly in the field of Control engineering, limiting it down to concerns involving Efficient energy use and, occasionally, HVAC. His study looks at the relationship between Control theory and topics such as Quadratic equation, which overlap with Semidefinite programming.

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

Robust process control

Manfred Morari;Evanghelos Zafiriou.
(1988)

4206 Citations

Model predictive control: theory and practice—a survey

C. E. Garcia;D. M. Prett;M. Morari.
Automatica (1989)

3979 Citations

Control of systems integrating logic, dynamics, and constraints

Alberto Bemporad;Manfred Morari.
Automatica (1999)

3349 Citations

The explicit linear quadratic regulator for constrained systems

Alberto Bemporad;Manfred Morari;Vivek Dua;Efstratios N. Pistikopoulos.
Automatica (2002)

3137 Citations

Model predictive control: past, present and future

Manfred Morari;Jay H. Lee.
Computers & Chemical Engineering (1999)

2641 Citations

Robust constrained model predictive control using linear matrix inequalities

Mayuresh V. Kothare;Venkataramanan Balakrishnan;Manfred Morari.
Automatica (1996)

2628 Citations

Internal model control. A unifying review and some new results

Carlos E. Garcia;Manfred Morari.
Industrial & Engineering Chemistry Process Design and Development (1982)

2003 Citations

Internal model control: PID controller design

Daniel E. Rivera;Manfred Morari;Sigurd Skogestad.
Industrial & Engineering Chemistry Process Design and Development (1986)

1820 Citations

Robust model predictive control: A survey

Alberto Bemporad;Manfred Morari.
Lecture Notes in Control and Information Sciences (1999)

1122 Citations

A unified framework for the study of anti-windup designs

Mayuresh V. Kothare;Peter J. Campo;Manfred Morari;Carl N. Nett.
Automatica (1994)

1110 Citations

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