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S.K. Singh

Researcher at Dartmouth College

Publications -  20
Citations -  879

S.K. Singh is an academic researcher from Dartmouth College. The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 12, co-authored 20 publications receiving 858 citations.

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Decentralized adaptive controller design for large-scale systems with higher order interconnections

TL;DR: In this article, the authors considered a general representation of interconnections when the strength of the interconnection is bounded by a pth-order polynomial in states, and designed two adaptive controllers with partially centralized compensation and a fully adaptive decentralized controller.
Proceedings ArticleDOI

Decentralized Adaptive Controller Design For Large-Scale Systems With Higher-Order Interconnections

TL;DR: In this article, a robust decentralized adaptive controller design for interconnected systems is proposed, where the strength of the interconnections is bounded by a pth-order polynomial in states.
Journal ArticleDOI

An analysis of some fundamental problems in adaptive control of force and impedance behavior: theory and experiments

TL;DR: The authors examine the role of adaptive controllers for force control with unknown system and environment parameters and clearly integrate several fundamental issues such as explicit force control, impedance control, and impedance control combined with a desired force control.
Journal ArticleDOI

Decentralized control for interconnected uncertain systems: extensions to higher-order uncertainties

TL;DR: In this paper, a decentralized controller design for large-scale uncertain systems with higher-order uncertainties is investigated, where uncertainties are assumed to be bounded by a known or unknown pth-order polynomial in states.
Proceedings ArticleDOI

Design of an interactive lumbar puncture simulator with tactile feedback

TL;DR: Lumbar puncture for purposes of administering spinal or epidural anesthesia is a complex clinical skill which requires the clinician to precisely correlate a detailed mental map of hidden three-dimensional anatomy with tactile feedback from the spinal needle as it is inserted.