2026 Manfred Morari: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Electronics and Electrical Engineering	137	28	28	16	16	857	94932

Research.com Recognitions

2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
2015 - Rufus Oldenburger Medal, The American Society of Mechanical Engineers
2015 - Fellow of the Royal Academy of Engineering (UK)
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

Manfred Morari is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a focus on subfields such as Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Statistical and Nonlinear Physics, and Hardware and Architecture.

The main topics of their work include:

Advanced Control Systems Optimization
Fault Detection and Control Systems
Control Systems and Identification
Machine Learning and Algorithms
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Model Reduction and Neural Networks

Key recent publications by Manfred Morari include:

Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming, 2020, IEEE Transactions on Automatic Control
Learning Region of Attraction for Nonlinear Systems, 2021, 2021 60th IEEE Conference on Decision and Control (CDC)
Large scale model predictive control with neural networks and primal active sets, 2021, Automatica
Combined Left and Right Temporal Robustness for Control Under STL Specifications, 2022, IEEE Control Systems Letters
NeurOpt: Neural network based optimization for building energy management and climate control, 2020, arXiv (Cornell University)

Their frequent co-authors include:

George J. Pappas
Mahyar Fazlyab
Shaoru Chen
Víctor M. Preciado
Alëna Rodionova

Manfred Morari has published extensively in venues such as:

arXiv (Cornell University)
2021 60th IEEE Conference on Decision and Control (CDC)
Automatica
IEEE Control Systems Letters
Industrial & Engineering Chemistry Research

The scientist's awards include:

Rufus Oldenburger Medal, The American Society of Mechanical Engineers (2015)
Fellow of the Royal Academy of Engineering (UK) (2015)
Richard E. Bellman Control Heritage Award (2011)
Fellow of the International Federation of Automatic Control (IFAC) (2008)
IEEE Fellow (2005) - For contributions to robust and model predictive control and control of hybrid systems
IEEE Control Systems Award (2005) - For pioneering contributions to the theory and application of robust process, model predictive, and hybrid systems control
Member of the National Academy of Engineering (1993) - For analysis of the effects of design on process operability and the development of techniques for robust process control

Best Publications

Model predictive control: theory and practice—a survey

C. E. Garcia;D. M. Prett;M. Morari

5148
Citations
Robust process control

Manfred Morari;Evanghelos Zafiriou

5053
Citations
Control of systems integrating logic, dynamics, and constraints

Alberto Bemporad;Manfred Morari

4002
Citations
The explicit linear quadratic regulator for constrained systems

Alberto Bemporad;Manfred Morari;Vivek Dua;Efstratios N. Pistikopoulos

3929
Citations
Model predictive control: past, present and future

Manfred Morari;Jay H. Lee

3251
Citations
Robust constrained model predictive control using linear matrix inequalities

Mayuresh V. Kothare;Venkataramanan Balakrishnan;Manfred Morari

3168
Citations
Internal model control. A unifying review and some new results

Carlos E. Garcia;Manfred Morari

2303
Citations
Internal model control: PID controller design

Daniel E. Rivera;Manfred Morari;Sigurd Skogestad

2219
Citations
Predictive Control for Linear and Hybrid Systems

Francesco Borrelli;Alberto Bemporad;Manfred Morari

1601
Citations
Robust model predictive control: A survey

Alberto Bemporad;Manfred Morari

1444
Citations
Use of model predictive control and weather forecasts for energy efficient building climate control

Frauke Oldewurtel;Alessandra Parisio;Colin N. Jones;Dimitrios Gyalistras

1388
Citations
Multi-Parametric Toolbox 3.0

Martin Herceg;Michal Kvasnica;Colin N. Jones;Manfred Morari

1337
Citations
A unified framework for the study of anti-windup designs

Mayuresh V. Kothare;Peter J. Campo;Manfred Morari;Carl N. Nett

1232
Citations
Multi-Parametric Toolbox (MPT)

Michal Kvasnica;Pascal Grieder;Mato Baotić;Manfred Morari

1076
Citations
Model predictive control based on linear programming - the explicit solution

A. Bemporad;F. Borrelli;M. Morari

975
Citations
Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis

T. Geyer;G. Papafotiou;M. Morari

917
Citations
Observability and controllability of piecewise affine and hybrid systems

A. Bemporad;G. Ferrari-Trecate;R. Morari

847
Citations
Observability and controllability of piecewise affine and hybrid systems

A. Bemporad;G. Ferrari-Trecate;M. Morari

844
Citations
A clustering technique for the identification of piecewise affine systems

Giancarlo Ferrari-Trecate;Marco Muselli;Diego Liberati;Manfred Morari

773
Citations
Internal Model Control: extension to nonlinear system

Constantin G. Economou;Manfred Morari;Bernhard O. Palsson

730
Citations
Robotic orthosis lokomat: a rehabilitation and research tool.

Sašo Jezernik;Gery Colombo;Thierry Keller;Hansruedi Frueh

653
Citations

Frequent Co-Authors

Alberto Bemporad IMT Institute for Advanced Studies Lucca

Colin N. Jones École Polytechnique Fédérale de Lausanne

Francesco Borrelli University of California, Berkeley

Tobias Geyer ABB (Switzerland)

Richard D. Braatz MIT

George J. Pappas University of Pennsylvania

John Lygeros ETH Zurich

Goran Andersson ETH Zurich

Alejandro Ribeiro University of Pennsylvania

Andrew J. Fleming University of Newcastle Australia

External Links

Wikipedia of Manfred Morari Personal website of Manfred Morari Google Scholar page

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