Results 71 to 80 of about 29,097,853 (357)

Dynamic multi‐objective optimisation of complex networks based on evolutionary computation

open access: yesIET Networks, EarlyView., 2022
Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley   +1 more source

Advanced control of non‐isothermal axial dispersion tubular reactors with recycle‐induced state delay

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

open access: yesIET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang   +4 more
wiley   +1 more source

Stability results for 2D Navier-Stokes equations with unbounded delay [PDF]

open access: yes, 2018
Some results related to 2D Navier-Stokes equations when the external force contains hereditary characteristics involving unbounded delays are analyzed. First, the existence and uniqueness of solutions is proved by Galerkin approximations and the energy ...
Caraballo Garrido, Tomás   +2 more
core  

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

Machine learning based model predictive control for grid connected enhanced switched capacitor cross‐connected switched multi‐level inverter (ESC3SMLI)

open access: yesIET Power Electronics, EarlyView., 2023
This article describes an enhanced switched capacitor cross‐connected switched multilevel inverter (ESC3SMLI) with machine learning‐based model‐predictive control (ML‐MPCM). An improved switched capacitor cross connected switched multilevel inverter featuring minimal devices are presented. The proposed ESC3SMLI produces nine levels using eight switches,
Arun Vijayakumar   +4 more
wiley   +1 more source

Stable On-the-Fly Learning for Dynamic Neural Networks With Delayed Inputs

open access: yesIEEE Access
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids.
Viktor Chertopolokhov   +6 more
doaj   +1 more source

Stability and Control of Power Systems using Vector Lyapunov Functions and Sum-of-Squares Methods

open access: yes, 2015
Recently sum-of-squares (SOS) based methods have been used for the stability analysis and control synthesis of polynomial dynamical systems. This analysis framework was also extended to non-polynomial dynamical systems, including power systems, using an ...
Anghel, Marian, Kundu, Soumya
core   +1 more source

Cardiorespiratory cross‐frequency coupling biomarker for sudden unexpected death in epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Sudden unexpected death in epilepsy (SUDEP) often follows generalized tonic–clonic seizures during sleep, likely resulting from impaired brainstem cardiorespiratory function. We used ictal electrocardiogram (ECG)‐based cross‐frequency phase–amplitude coupling (PAC) to detect cardiorespiratory disruptions, comparing SUDEP to non‐SUDEP
Adam C. Gravitis   +7 more
wiley   +1 more source

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