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Antonios Armaou
Researcher at Pennsylvania State University
Publications - 146
Citations - 2693
Antonios Armaou is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Nonlinear system & Distributed parameter system. The author has an hindex of 27, co-authored 142 publications receiving 2527 citations. Previous affiliations of Antonios Armaou include Wenzhou University & University of California, Los Angeles.
Papers
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Dynamic optimization of dissipative PDE systems using nonlinear order reduction
TL;DR: These methods account for the fact that the dominant dynamics of highly dissipative PDE systems are low dimensional in nature and lead to approximate optimization problems that are of significantly lower order compared to the ones obtained from spatial discretization using finite-difference and finite-element techniques, and thus they can be solved with significantly smaller computational demand.
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Global stabilization of the Kuramoto–Sivashinsky equation via distributed output feedback control
TL;DR: In this article, the problem of global exponential stabilization of the Kuramoto-Sivashinsky equation (KSE) subject to periodic boundary conditions via distributed static output feedback control is addressed.
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Feedback control of the Kuramoto-Sivashinsky equation
TL;DR: In this paper, a linear finite-dimensional output feedback control of the Kuramoto-Sivashinsky equation (KSE) with periodic boundary conditions is presented, under the assumption that the linearization of the KSE around the zero solution is controllable and observable.
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Wave suppression by nonlinear finite-dimensional control
TL;DR: In this paper, the authors synthesize nonlinear low-dimensional output feedback controllers for the KdVB and KS equations that enhance convergence rate and achieve stabilization to spatially uniform steady states, respectively.
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Control and optimization of multiscale process systems
TL;DR: An overview of recently developed methods for control and optimization of complex process systems described by multiscale models using examples of thin film growth processes to motivate the development of these methods and illustrate their application.