Results 91 to 100 of about 412,258 (327)
Australian Journal of Social Issues, EarlyView.ABSTRACT The 2023 Australian Voice to Parliament Referendum presented a pivotal moment in the nation's democratic landscape. Despite support for Indigenous well‐being, the referendum did not secure the necessary approval, prompting extensive analysis of its outcome.
Scott Baum, William Mitchell
wiley +1 more source
Abstract and Applied Analysis, 2012 This paper investigates the problem of robust exponential stability for linear parameter-dependent (LPD) systems with discrete and distributed time-varying delays and nonlinear perturbations.
Kanit Mukdasai +2 more
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Quantum Carnot Bound from Petz Recovery Maps
Advanced Physics Research, EarlyView.A quantum bound (ηP$\eta_P$, the Petz Limit) is derived for the efficiency (η$\eta$) of a heat engine utilizing two‐level quantum systems (qubits) as the working substance. This limit, based on Petz recovery maps, is stricter than the classical Carnot limit (ηC$\eta_C$) for irreversible cycles.
Douglas Mundarain +2 more
wiley +1 more source
Journal of Applied Mathematics, 2012 The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven by Wiener process is investigated. By utilizing the Lyapunov-Krasovskii functional and inequality technique, some sufficient criteria are presented in ...
Weiwei Zhang, Linshan Wang
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Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Advanced Physics Research, EarlyView.Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
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Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
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SICE Journal of Control, Measurement, and System Integration, 2018 This paper addresses the simultaneous design of observer-based robust scaled-H8 controllers and scaling matrices for discrete-time linear time-invariant polytopic systems.
Masayuki Sato
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Journal of Inequalities and Applications, 2016 This paper is concerned with the problem of the guaranteed H ∞ $\mathcal{H_{\infty}}$ performance state estimation for static neural networks with interval time-varying delay.
Yanjun Shu, Xinge Liu
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Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
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Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Asian Journal of Control, EarlyView.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