H-Index & Metrics Top Publications
Marios M. Polycarpou

Marios M. Polycarpou

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 56 Citations 15,833 228 World Ranking 756 National Ranking 1

Research.com Recognitions

Awards & Achievements

2016 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society

2015 - Meritorious Service Award, IEEE Computational Intelligence Society

2014 - Fellow of the International Federation of Automatic Control (IFAC)

2006 - IEEE Fellow For contributions to the theory and application of intelligent systems and control.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His primary areas of investigation include Control theory, Nonlinear system, Adaptive control, Control engineering and Artificial neural network. His research on Control theory frequently connects to adjacent areas such as Fault detection and isolation. Marios M. Polycarpou has researched Nonlinear system in several fields, including Stability, Dynamical systems theory, Scheme and State variable.

His Adaptive control study combines topics from a wide range of disciplines, such as Adaptive system, Key and Bounding overwatch. His Control engineering research integrates issues from Target distribution, Dynamic programming, Automatic control and System dynamics. His Artificial neural network research is multidisciplinary, incorporating elements of Econometrics, Computational intelligence and Reliability.

His most cited work include:

  • Stable adaptive neural control scheme for nonlinear systems (1008 citations)
  • High-order neural network structures for identification of dynamical systems (676 citations)
  • A robust adaptive nonlinear control design (581 citations)

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

Marios M. Polycarpou focuses on Control theory, Nonlinear system, Fault detection and isolation, Control engineering and Artificial neural network. His research investigates the link between Control theory and topics such as Fault tolerance that cross with problems in Multi-agent system. Marios M. Polycarpou interconnects Scheme, Dynamical systems theory, Residual and Redundancy in the investigation of issues within Nonlinear system.

His Fault detection and isolation research incorporates themes from Isolation and Actuator. His studies in Control engineering integrate themes in fields like Distributed computing, Control reconfiguration and Automatic control. His Adaptive control research incorporates elements of Control system, Mathematical optimization and Lyapunov function.

He most often published in these fields:

  • Control theory (39.15%)
  • Nonlinear system (29.25%)
  • Fault detection and isolation (24.06%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (39.15%)
  • Nonlinear system (29.25%)
  • Mathematical optimization (11.08%)

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

Marios M. Polycarpou mostly deals with Control theory, Nonlinear system, Mathematical optimization, Control and Scheme. His Control theory study frequently draws parallels with other fields, such as Fault tolerance. His Nonlinear system research integrates issues from Stability, Actuator and Fault detection and isolation.

His work deals with themes such as Routing, Vehicle routing problem and Set, which intersect with Mathematical optimization. His study in Control is interdisciplinary in nature, drawing from both Range, Tracking and Real-time computing. In his study, Artificial neural network is inextricably linked to Prediction interval, which falls within the broad field of Scheme.

Between 2018 and 2021, his most popular works were:

  • Optimal Elevator Group Control via Deep Asynchronous Actor–Critic Learning (14 citations)
  • Fault Estimation and Accommodation of Interconnected Systems: A Separation Principle (12 citations)
  • Distributed Fault-Tolerant Control of Multiagent Systems: An Adaptive Learning Approach (11 citations)

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

  • Artificial intelligence
  • Machine learning
  • Programming language

Mathematical optimization, Metaheuristic, Ant colony optimization algorithms, Tracking and Vehicle routing problem are his primary areas of study. His Metaheuristic research is multidisciplinary, relying on both Charging station, Electric vehicle and Benchmark. His research integrates issues of Range, Bounded function and Finite set in his study of Tracking.

His Vehicle routing problem research includes elements of Set and Traffic congestion. His studies deal with areas such as Fault tolerance and Artificial neural network as well as Nonlinear system. Marios M. Polycarpou regularly ties together related areas like Control theory in his Fault tolerance studies.

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.

Top Publications

Stable adaptive neural control scheme for nonlinear systems

M.M. Polycarpou.
IEEE Transactions on Automatic Control (1996)

1279 Citations

A Robust Adaptive Nonlinear Control Design

M. M. Polycarpou;P. A. Ioannou.
american control conference (1993)

971 Citations

High-order neural network structures for identification of dynamical systems

E.B. Kosmatopoulos;M.M. Polycarpou;M.A. Christodoulou;P.A. Ioannou.
IEEE Transactions on Neural Networks (1995)

897 Citations

A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

Xiaodong Zhang;M.M. Polycarpou;T. Parisini.
IEEE Transactions on Automatic Control (2002)

625 Citations

Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches

Jay A. Farrell;Marios M. Polycarpou.
(2006)

606 Citations

Command Filtered Backstepping

J.A. Farrell;M. Polycarpou;M. Sharma;Wenjie Dong.
IEEE Transactions on Automatic Control (2009)

604 Citations

The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms

Avi Ostfeld;James G. Uber;Elad Salomons;Jonathan W. Berry.
Journal of Water Resources Planning and Management (2008)

557 Citations

Adaptive fault-tolerant control of nonlinear uncertain systems: an information-based diagnostic approach

Xiaodong Zhang;T. Parisini;M.M. Polycarpou.
IEEE Transactions on Automatic Control (2004)

522 Citations

Stable adaptive tracking of uncertain systems using nonlinearly parametrized on-line approximators

Marios M. Polycarpou;Mark J. Mears.
International Journal of Control (1998)

497 Citations

Command Filtered Adaptive Backstepping

Wenjie Dong;J. A. Farrell;M. M. Polycarpou;V. Djapic.
IEEE Transactions on Control Systems and Technology (2012)

401 Citations

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

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