Results 71 to 80 of about 1,563,210 (304)

Chaos and Bifurcation Control Using Nonlinear Recursive Controller [PDF]

open access: yes, 2002
Chaos and bifurcation control is achieved by nonlinear controller that is able to mitigate the characteristics of a class of nonlinear systems that are experiencing such phenomenon.
Zohdy, M. A., Harb, A. M.
core   +1 more source

Network Energy-Saving Adjustment Routing Under Changing Demands: Models and Algorithms

open access: yesIEEE Access, 2020
Routing is key to ensuring the normal operation of a network. The rapid development of networks and the continuous expansion in scale have placed high demands on network energy-saving routing.
Mengjia Zhang   +3 more
doaj   +1 more source

Nonlinear Atmospheric Adjustment to Thermal Forcing

open access: yesJournal of the Atmospheric Sciences, 2005
Abstract A nonlinear, numerical model of a compressible atmosphere is used to simulate the hydrostatic and geostrophic adjustment to a localized prescribed heating applied over five minutes with a size characteristic of an isolated, deep, cumulus cloud.
Peter R. Bannon, Paul F. Fanelli
openaire   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

Nonlinear Adjustment, Purchasing Power Parity and the Role of Nominal Exchange Rates and Prices [PDF]

open access: yes
Although the literature on purchasing power parity (PPP) is rich in controversy, the relative contribution of prices and nominal exchange rates to real exchange rate movements which restore PPP disequilibria has rarely been put under any close scrutiny ...
Joscha Beckmann
core  

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Nonlinear Exchange Rate Adjustment in the Enlarged Euro zone. Evidence and Implications for Candidate Countries. [PDF]

open access: yes
This paper sheds light on the importance of the validity of PPP hypothesis for the accessing process of the candidate countries towards EMU. The evidence of nonlinear adjustment in real exchange rates insists the estimation of a nonlinear SETAR model ...
Nikolaos Giannellis   +1 more
core  

Estimating Single Layer Bi-Channel Neural Networks Architecture for Speed Control of Variable Reluctance Motors

open access: yesEnergies
This study explores the speed adjustment characteristics of the adaptive control of estimated single-layer Bi-channel neural networks (NNs) for Variable Reluctance Motor (VRM) drives.
Hamad Alharkan
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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