Results 31 to 40 of about 591,846 (285)
An Impulse-Quantizing Synchronization Approach for Mixed Continuous-Discrete Complex Networks
Discrete Dynamics in Nature and Society, 2023 This paper presents synchronization of mixed continuous-discrete complex network via impulse-quantizing approach. A delay-partitioning group strategy is proposed and impulse-quantizing control is designed to derive theoretical criteria ensuring scale ...
Na Hu +3 more
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Simulating continuous symmetry models with discrete ones
Physical Review B, 2022 Especially in one dimension, models with discrete and continuous symmetries display different physical properties, starting from the existence of long-range order. In this work, we that, by adding topological frustration, an antiferromagnetic $XYZ$ spin chain, characterized by a discrete local symmetry, develops a region in parameter space which mimics
A. G. Catalano +3 more
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Hybrid model predictive control for freeway traffic using discrete speed limit signals [PDF]
, 2014 HYCON2 Show day - Traffic modeling, Estimation and Control 13/05/2014 GrenobleIn this paper, two hybrid Model Predictive Control (MPC) approaches for freeway traffic control are proposed considering variable speed limits (VSL) as discrete variables as in
Camacho, Eduardo F. +3 more
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Journal of Modern Power Systems and Clean Energy, 2022 This paper develops deep reinforcement learning (DRL) algorithms for optimizing the operation of home energy system which consists of photovoltaic (PV) panels, battery energy storage system, and household appliances.
Chao Huang +4 more
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Axioms, 2023 The stochastic inertial bidirectional associative memory neural networks (SIBAMNNs) on time scales are considered in this paper, which can unify and generalize both continuous and discrete systems.
Mingshuo Liu +3 more
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Model Continuity in Discrete Event Simulation [PDF]
ACM Transactions on Modeling and Computer Simulation, 2015 Most of the well-known modeling and simulation (M&S) methodologies state the importance of conceptual modeling in simulation studies, and they suggest the use of conceptual models during the simulation model development process. However, only a limited number of methodologies refers to how to move from a conceptual model to an executable simulation
Deniz Çetinkaya +2 more
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INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes [PDF]
, 2012 We investigate two options for performing Bayesian inference on spatial log-Gaussian Cox processes assuming a spatially continuous latent field: Markov chain Monte Carlo (MCMC) and the integrated nested Laplace approximation (INLA). We first describe the
Diggle, Peter J., Taylor, Benjamin M.
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Perfect Control for Continuous-Time LTI State-Space Systems: The Nonzero Reference Case Study
IEEE Access, 2021 In this paper an innovative study concerning the perfect control algorithm is presented. This particular control strategy has already been developed for continuous- and discrete-time transfer-function-originated plants, as well as discrete-time state ...
Pawel Majewski +2 more
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Optimization of Discrete-parameter Multiprocessor Systems using a Novel Ergodic Interpolation Technique [PDF]
, 2015 Modern multi-core systems have a large number of design parameters, most of which are discrete-valued, and this number is likely to keep increasing as chip complexity rises. Further, the accurate evaluation of a potential design choice is computationally
Desai, Madhav P., Karanjkar, Neha V.
core
Hybrid Simulation Safety: Limbos and Zero Crossings
, 2017 Physical systems can be naturally modeled by combining continuous and discrete models. Such hybrid models may simplify the modeling task of complex system, as well as increase simulation performance.
EA Lee +8 more
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