Produktbild: Fixed-Time Control of Discontinuous Networks: Theory and Applications
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Fixed-Time Control of Discontinuous Networks: Theory and Applications

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.03.2027

Abbildungen

XVIII, 382 p.

Verlag

Springer

Seitenzahl

382

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-42833-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.03.2027

Abbildungen

XVIII, 382 p.

Verlag

Springer

Seitenzahl

382

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-42833-2

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
ProductSafety@springernature.com

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  • Produktbild: Fixed-Time Control of Discontinuous Networks: Theory and Applications
  • Introduction.- Preliminaries.- Improved fixed-time stability lemmas.- Fixed-time stabilization of generalized leakage-delayed neural networks with discontinuous disturbances.- Fixed-time stabilization of leakage-delayed neural networks: leakage-delay-dependent settling-time.- Fixed-time synchronization of discontinuous CGNNs with nondifferentiable delays.- Periodicity and fixed-time stabilization of discontinuous reaction–diffusion CGNNs.- Fixed-time synchronization of discontinuous fuzzy neutral networks.- Fixed-time synchronization of discontinuous fuzzy inertial networks.- Fixed-time synchronization of discontinuous fuzzy competitive networks.- Fixed-time control of discontinuous inertial neural networks with time-varying delays.- Fixed-time stabilization of discontinuous inertial networks with mixed time delays.- Fixed-time control for discontinuous inertial neural networks with uncertainties.- Fixed-time synchronization of different dimensional networked Filippov systems.- Fixed-time stabilization of coupled Filippov systems on networks with mismatched parameters.- Filippov systems with non-differentiable and unbounded delays: periodicity, stabilization and energy loss estimation.- Fixed-time stabilization of discontinuous memristor-based fuzzy inertial neural networks with proportional delays.- Fixed-time stabilization and energy loss estimation of discontinuous fuzzy inertial CGNNS via saturation function approach.