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J.K. Hedrick

Researcher at University of California, Berkeley

Publications -  116
Citations -  13453

J.K. Hedrick is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Control theory & Adaptive control. The author has an hindex of 52, co-authored 116 publications receiving 12379 citations. Previous affiliations of J.K. Hedrick include Massachusetts Institute of Technology.

Papers
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Dynamic surface control for a class of nonlinear systems

TL;DR: A method is proposed for designing controllers with arbitrarily small tracking error for uncertain, mismatched nonlinear systems in the strict feedback form and it is shown that these low pass filters allow a design where the model is not differentiated, thus ending the complexity arising due to the "explosion of terms" that has made other methods difficult to implement in practice.
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String stability of interconnected systems

TL;DR: The authors derive sufficient ("weak coupling") conditions which guarantee the asymptotic string stability of a class of interconnected systems and ensure that the states of all the subsystems are all uniformly bounded when a gradient-based parameter adaptation law is used.
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Automated vehicle control developments in the PATH program

TL;DR: The accomplishments to date on the development of automatic vehicle control technology in the Program on Advanced Technology for the Highway (PATH) at the University of California, Berkeley are summarized in this article.
Proceedings ArticleDOI

String stability of interconnected systems

TL;DR: In this paper, the authors introduced the notion of string stability of a countably infinite interconnection of a class of nonlinear systems and derived sufficient ("weak coupling") conditions that guarantee asymptotic string stability.
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Nonlinear adaptive control of active suspensions

TL;DR: Simulation and experimental results show that the active system is better than a passive system in terms of improving the ride quality of the vehicle and both of the adaptive schemes improve performance, with the modified scheme giving the greater improvement in performance.