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.
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.
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.
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.
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.
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Stable adaptive neural control scheme for nonlinear systems
IEEE Transactions on Automatic Control (1996)
A Robust Adaptive Nonlinear Control Design
M. M. Polycarpou;P. A. Ioannou.
american control conference (1993)
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)
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)
Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
Jay A. Farrell;Marios M. Polycarpou.
Command Filtered Backstepping
J.A. Farrell;M. Polycarpou;M. Sharma;Wenjie Dong.
IEEE Transactions on Automatic Control (2009)
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)
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)
Stable adaptive tracking of uncertain systems using nonlinearly parametrized on-line approximators
Marios M. Polycarpou;Mark J. Mears.
International Journal of Control (1998)
Command Filtered Adaptive Backstepping
Wenjie Dong;J. A. Farrell;M. M. Polycarpou;V. Djapic.
IEEE Transactions on Control Systems and Technology (2012)
Profile was last updated on December 6th, 2021.
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