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20202026
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eess.SY2025

Data-Driven Modeling of Photosynthesis Regulation Under Oscillating Light Condition - Part I: In-Silico Exploration

Christian Portilla, Arviandy G Aribowo, Ramachandran Anantharaman +2

This paper explores the application of data-driven system identification techniques in the frequency domain to obtain simplified, control-oriented models of photosynthesis regulati…

eess.SY2025

Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems

Kesav Kaza, Ramachandran Anantharaman, Rahul Meshram

This paper introduces a two-timescale hierarchical decentralized control architecture for Cyber-Physical Systems (CPS). The system consists of a global controller (GC), and N local…

eess.SY2025

Estimation of Heat Transfer Coefficient in Heat Exchangers from closed-loop data using Neural Networks

Ramachandran Anantharaman, Carlos Gonzalez Rojas, Luna Artemis van Leeuwen +1

Heat exchangers (HEXs) play a central role in process industries for thermal energy transfer. Fouling, the gradual accumulation of solids on heat transfer surfaces, causes a time-v…

eess.SY2024

Koopman operator based identification of nonlinear networks

Ramachandran Anantharaman, Alexandre Mauroy

In this work, we develop a method to identify continuous-time nonlinear networked dynamics via the Koopman operator framework. The proposed technique consists of two steps: the fir…

eess.SY2024

Dynamic Mode Decomposition with Non-uniform Sampling

Ramachandran Anantharaman, Alexandre Mauroy

Dynamic Mode Decomposition (DMD) and its extensions (EDMD) have been at the forefront of data-based approaches to Koopman operators. Most (E)DMD algorithms assume that the entire s…