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Naoyuki Hara

Researcher at Osaka Prefecture University

Publications -  93
Citations -  500

Naoyuki Hara is an academic researcher from Osaka Prefecture University. The author has contributed to research in topics: Linear system & Model predictive control. The author has an hindex of 11, co-authored 93 publications receiving 435 citations. Previous affiliations of Naoyuki Hara include Tokyo Metropolitan University & Metropolitan University.

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Stabilization of a steady state in network oscillators by using diffusive connections with two long time delays

TL;DR: It is shown that diffusive connections with two long-time delays can induce the stabilization of a steady state in network oscillators and a simple systematic procedure for designing the coupling strength and the delay times in the connections is proposed.
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Topology-free stability of a steady state in network systems with dynamic connections.

TL;DR: A linear stability analysis reveals that the odd number property holds for any network topology and is shown that the stability of the steady state in network systems with topological uncertainty is governed by the interval family of real characteristic polynomials.
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Delayed feedback control based on the act-and-wait concept

TL;DR: This paper proposes a delayed feedback control (DFC) based on the act-and-wait concept, which reduces the dynamics of DFC systems to that of discrete-time systems.
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Stability analysis and design of amplitude death induced by a time-varying delay connection

TL;DR: In this paper, a linear stability analysis is used to derive the boundary curves for amplitude death in a connection parameters space, and a simple systematic procedure for designing such variation and coupling strength is provided.
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Design and experimental verification of multiple delay feedback control for time-delay nonlinear oscillators

TL;DR: In this article, a multiple delay feedback control method was proposed to stabilize unstable fixed points of time-delay nonlinear oscillators, and the boundary curves of stability in a control parameter space were derived using linear stability analysis.