Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Fixed-Time Stability, Uniform Strong Dissipativity, and Stability of Nonlinear Feedback Systems
In this paper, we develop new necessary and sufficient Lyapunov conditions for fixed-time stability that refine the classical fixed-time stability results presented in the literature by providing an optimized estimate of the settling time bound that is ...
Wassim M. Haddad +2 more
doaj +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Construction of the Courant-Snyder invariants for the non-linear equations of motion under presence of the linear coupling [PDF]
A single particle subjected to an arbitrary static magnetic field, which includes skew-quadrupole and solenoidal fields, is considered. The Courant-Snyder invariants are constructed, and the long-term stability of the beam in a storage ring is formulated
Garczynski, V.
core +1 more source
Construction of the Courant-Snyder invariants for the non-linear equations of motion and criterion for the long-term stability of the beam in a storage ring [PDF]
The Courant-Snyder invariants become Lyapunov functions when the {beta}-functions admit non-zero lower, and finite upper bounds. The long-term stability of motion then follows.
Garczynski, V.
core +4 more sources
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source
Further Qualitative Results for Second-Order Dynamical Systems Based on Circuit Theory Approach [PDF]
In this study, our goal is to construct mathematical models of some physical systems and then determine their qualitative behaviors by Lyapunov's direct method.
Ates, Muhammet, Minaz, Mehmet Recep
core +1 more source
This paper studies the capabilities and limitations of asymmetric gain supply rates and asymmetrically scaled sectorial (ASSEC) supply rates for analysis and design of cyclic network systems on semi-infinite state spaces with interior equilibria.
Hiroshi Ito
doaj +1 more source
This paper presents a streamlined two-layer control system for effective power sharing and switching control in a DC microgrid designed for electric vehicles.
Aqeel Ur Rahman +4 more
doaj +1 more source
Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang +3 more
wiley +1 more source

