5 papers
Identification of Nonlinear Acyclic Networks in Continuous Time from Nonzero Initial Conditions and Full Excitations
Ramachandran Anantharaman, Renato Vizuete, Julien M. Hendrickx +1
We propose a method to identify nonlinear acyclic networks in continuous time when the dynamics are located on the edges and all the nodes are excited. We show that it is necessary…
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…
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…
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…
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…