Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Srinivasa M Salapaka"'
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:1700-1711
We present a framework for solving simultaneously the problems of facility location and path optimization in static and dynamic spatial networks. In the static setting, the objective is to determine facility locations and transportation paths from ea
Publikováno v:
Journal of Manufacturing Processes. 56:1294-1303
This article presents the design, identification, simulation, and control of a buck converter implemented for bulk metallic glass thermoplastic micro-forming. In manufacturing of multi-faceted bulk metallic glass knife edge, the temperature of the mi
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 25:627-637
In this article, a systematic framework for designing the control for fine positioning (scanning) stages of X-ray microscopes is presented. This framework facilitates designs that simultaneously achieve specifications on positioning resolution and tr
Autor:
Sreenath Sundar, Gowtham Kuntumalla, Nenad Miljkovic, Srinivasa M. Salapaka, Sanjiv Sinha, Longnan Li, Manjunath C. Rajagopal, Hanyang Zhao, Chirag Anand Deshpande, Placid M. Ferreira, Ho Chan Chang, Yuquan Meng, Chenhui Shao, Xiao Yan, Muhammad Jahidul Hoque
Publikováno v:
ACS Applied Materials & Interfaces. 12:12054-12067
Scale formation presents an enormous cost to the global economy. Classical nucleation theory dictates that to reduce the heterogeneous nucleation of scale, the surface should have low surface energy and be as smooth as possible. Past approaches have
Publikováno v:
IFAC-PapersOnLine. 53:2642-2647
In this work we introduce two novel maximum entropy based clustering algorithms to address the problem of Edge Controller Placement (ECP) in wireless edge networks. These networks lie at the core of the fifth generation (5G) wireless systems and beyo
Publikováno v:
IEEE Transactions on Cybernetics, 52 (9)
We present a framework to address a class of sequential decision making problems. Our framework features learning the optimal control policy with robustness to noisy data, determining the unknown state and action parameters, and performing sensitivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845e2f4e6dae2ce885b96d6733abe5d4
Many studies involving large Markov chains require determining a smaller representative (aggregated) chain. Each superstate in the representative chain represents a group of related states in the original Markov chain. Typically, the choice of number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93795c2d7a72f0d36c35afd568fdcd63
Publikováno v:
2022 Eighth Indian Control Conference (ICC)
Selection of experiments to estimate an underlying model is an innate task across various fields. Since experiments have costs associated with them, selecting statistically significant experiments becomes necessary. Classic linear experimental design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e218e6549d191f2496120b2f5230168a
https://hdl.handle.net/20.500.11850/583925
https://hdl.handle.net/20.500.11850/583925
Autor:
Srinivasa M. Salapaka, Mayank Baranwal
Publikováno v:
International Journal of Electrical Power & Energy Systems. 109:641-651
In this paper, the problem of decomposing a large interconnected power network into smaller loosely-coupled zones in order to facilitate easy and flexible management of power transmission systems is addressed. This decomposition enables secondary lev
Publikováno v:
IEEE Transactions on Industrial Electronics. 66:3082-3092
This paper presents a distributed, robust, and optimal control architecture for a network of multiple dc–dc converters. The network of converters considered form a dc microgrid in order to regulate a desired dc bus voltage and meet prescribed time-