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William B. Dunbar
Researcher at University of California, Santa Cruz
Publications - 99
Citations - 3988
William B. Dunbar is an academic researcher from University of California, Santa Cruz. The author has contributed to research in topics: Nanopore & Optimal control. The author has an hindex of 27, co-authored 98 publications receiving 3667 citations. Previous affiliations of William B. Dunbar include Brigham Young University & Toyota Motor Engineering & Manufacturing North America.
Papers
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Journal ArticleDOI
Distributed receding horizon control for multi-vehicle formation stabilization
TL;DR: This work generates distributed optimal control problems for each subsystem and establishes that a distributed receding horizon control implementation is stabilizing to a neighborhood of the objective state.
Journal ArticleDOI
Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability
TL;DR: In this article, the authors consider the problem of distributed control of a platoon of vehicles with nonlinear dynamics and derive sufficient conditions that guarantee asymptotic stability and string stability.
Journal ArticleDOI
Distributed Receding Horizon Control of Dynamically Coupled Nonlinear Systems
TL;DR: A distributed RHC algorithm is presented for dynamically coupled nonlinear systems that are subject to decoupled input constraints and the theoretical conditions for feasibility and stability are shown to be satisfied for a set of coupled Van der Pol oscillators that model a walking robot experiment.
Journal ArticleDOI
Sequence-specific detection of individual DNA polymerase complexes in real time using a nanopore
Seico Benner,Roger Jinteh Arrigo Chen,Noah A. Wilson,Robin Abu-Shumays,Nicholas Hurt,Kate R. Lieberman,David W. Deamer,William B. Dunbar,Mark Akeson +8 more
TL;DR: It is shown that a nanopore sensor can accurately identify DNA templates bound in the catalytic site of individual DNA polymerase molecules and discrimination among unbound DNA, binary DNA/ polymerase complexes, and ternary DNA/polymerase/deoxynucleotide triphosphate complexes was achieved in real time using finite state machine logic.
Proceedings ArticleDOI
Model predictive control of coordinated multi-vehicle formations
TL;DR: In this paper, a generalized model predictive control (MPC) formulation is derived that extends the existing theory to a multi-vehicle formation stabilization problem The vehicles are individually governed by nonlinear and constrained dynamics The extension considers formation stabilization to a set of permissible equilibria, rather than a unique equilibrium.