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math.OC2024
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models
Matteo Tomasetto, Francesco Braghin, Andrea Manzoni
Continuous monitoring and real-time control of high-dimensional distributed systems are often crucial in applications to ensure a desired physical behavior, without degrading stabi…
math.OC2024
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
Matteo Tomasetto, Andrea Manzoni, Francesco Braghin
Steering a system towards a desired target in a very short amount of time is challenging from a computational standpoint. Indeed, the intrinsically iterative nature of optimal cont…
math.OC2024
An optimal control strategy to design passive thermal cloaks of arbitrary shape
Riccardo Saporiti, Carlo Sinigaglia, Andrea Manzoni +1
In this paper we describe a numerical framework for achieving passive thermal cloaking of arbitrary shapes in both static and transient regimes. The design strategy is cast as the…