Some talks by Madhu N. Belur


Some talks

ZBTT: tools, conception, approximation and WR crew allocation tool: Talk for IRITM with Narayan Rangaraj (Aug 2021)

Automation in railways operations: Talk in IRIEEN, Nashik and also in WR, Mumbai on use of software tools for railways operation (Nov 2020)

Perron Frobenius theorem and its applications (NBHM-CEP workshop in IITB, Nov 2019):

Singular Value Decomposition (SVD), CEP course, Feb 2019:

Version control: Git: Talk in IITB (Dec 2017) as a part of Induction Training Programme as part of Pt. Madan Mohan Malaviya National Mission on Teachers and Training

SVD, QR and numerical/exact rank Talk in SPIT, Andheri (Dec 2017) and in CDEEP, IITB (June 2016)

Generic arbitrary pole-placement and structural controllability Talk in SJCE, Mysuru April 2016.

Some new results linking graph theory and optimal RLC charging/discharging Talk in EE, IITB on 21st April, 2015

Talk in IUST-NIT Srinagar on moment-matching using Arnoldi/Lanczos and passivity preserving model order reduction. April 2015. (Slides have typos and more mistakes: please send me an email.)

Minimal polynomial basis: generic degrees (Talk at the ICC, Chennai, Jan 15)

Scilab: polynomials, interpolation and DFT (Talk in MIT, Pune, August 14)

Talk at VESIT, Mumbai, July 2014 (and also at VJTI) on overview of decentralized control of complex systems

Talk at Fr. Agnel College, Mumbai, (August 2013) on choosing conferences/journals and about plagiarism

Talk in Mumbai (Feb 2013) on generic pole-placement

Talk at KTH, Sweden and also at VJTI, Mumbai (May 2013) on dissipativity of uncontrollable systems

Talk at ECC-13 (July 2013) on minimum sensor-actuator pole-placement network

Talk at ECC-13 (July 2013) on singular Hamiltonian systems

Talk at IIT Guwahati (Jan 2013) on structured linearization and efficient computation of the H-infinity norm

Talk in Civil Engg (IITB) (Oct 2013) on `Control'

Talk in CTARA (IITB) (as part of a T&D course) on AHP and Scilab

Talk in IIT Guwahati (December 2010) on Conjugate Gradient method

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