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Raghunathan Rengaswamy

Researcher at Indian Institute of Technology Madras

Publications -  225
Citations -  10538

Raghunathan Rengaswamy is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Proton exchange membrane fuel cell & Fault detection and isolation. The author has an hindex of 39, co-authored 210 publications receiving 9632 citations. Previous affiliations of Raghunathan Rengaswamy include Indian Institute of Technology Bombay & Bosch.

Papers
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Proceedings ArticleDOI

Techniques for stiction diagnosis and compensation in process control loops

TL;DR: In this article, the authors deal with the development of stiction diagnosis and compensation algorithms for non-invasive control valve stiction detection from routine operating data, which is an important problem that needs to be solved.
Book ChapterDOI

Phosphoric acid fuel cells

TL;DR: An overview of the phosphoric acid fuel cell (PAFC) technology is provided in this article, where various components that are part of PAFC stack and the working principles behind the PAFC are described in detail.
Journal ArticleDOI

Prediction error-based clustering approach for multiple-model learning using statistical testing

TL;DR: An integration of PE based clustering with statistical testing for a more robust solution to the MML problem is proposed and the ability to identify redundant variables using the proposed approach is tested by identifying the variables that affect energy utilization in residential buildings.
Journal ArticleDOI

Rapid impedance spectroscopy using dual phase shifted chirp signals for electrochemical applications

TL;DR: In this article, a novel technique that makes use of two high bandwidth and short duration signals having dissimilar phases to estimate impedance is introduced, which can pave the way for a quick and cost effective alternative to EIS and allow for impedance measurement during operation.
Posted Content

Optimal Power Distribution Control for a Network of Fuel Cell Stacks

TL;DR: In this article, an optimization formulation is proposed for this power distribution control problem, and an algorithm that identifies the globally optimal solution for this problem is developed through an analysis of the KKT conditions, the solution to the optimization problem is decomposed into on-line and online computations.