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Ramkrishna Pasumarthy

Researcher at Indian Institute of Technology Madras

Publications -  83
Citations -  742

Ramkrishna Pasumarthy is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Control theory & Computer science. The author has an hindex of 13, co-authored 73 publications receiving 544 citations. Previous affiliations of Ramkrishna Pasumarthy include University of Twente & University of California, Los Angeles.

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Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data

TL;DR: The proposed method involves the application of principal component analysis and its graph-theoretic interpretation to infer the steady state network topology from smart meter energy measurements and is demonstrated through simulation on randomly generated networks and on IEEE recognized Roy Billinton distribution test system.
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Achievable Casimirs and its implications on control of port-Hamiltonian systems

TL;DR: The problem of achievable Dirac structures is now studied for systems with dissipation, in the finite-dimensional, infinite,dimensional and the mixed finite and infinite-dimensional case.
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Differentiation and Passivity for Control of Brayton–Moser Systems

TL;DR: New passivity properties using a Krasovskii-type Lyapunov function as storage function are presented, where the supply rate is function of the system states, inputs, and their first time derivatives.
Proceedings ArticleDOI

On stability of time delay Hamiltonian systems

TL;DR: The construction of a Lyapunov-Krasovskii (LK) functional based on the Hamiltonian of the port-Hamiltonian system is derived, which derives some sufficient conditions for the system to be asymptotically stable in presence of uncertain delays.
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Identification and Multivariable Gain-Scheduling Control for Cloud Computing Systems

TL;DR: This paper presents the dynamic modeling and performance control of a Web server hosted on a private cloud with an multiple input multiple output (MIMO) LPV model with performance metrics such as the response time and the throughput and designs a gain scheduled linear quadratic regulator controller for performance guarantees with optimal cost of VMs.