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ADAM: a Model of Artificial Psyche
AbstractAn ADAM artificial psyche model implementing a hierarchical deep reinforcement learning architecture is proposed. ADAM is able to learn...
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Aircraft Conflict Resolution
Air traffic management (ATM) represents a domain of challenging applications of mathematical optimization.
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Introduction
Quantum mechanics describes and explains the workings of nature—and is by far the most successful theory of science. Although quantum mechanics has...
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Bounding pandemic spread by heat spread
The beginning of a pandemic is a crucial stage for policymakers. Proper management at this stage can reduce overall health and economical damage....
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Refinements in Peridynamics
This chapter presents an approach to mitigate the surface effects arising from the incomplete interaction domains near the boundaries in Bond-Based...
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Digital Model of Natural Cores Using Geometric Design
The authors have constructed a digital model of reservoir rock cores based on the problem of packing spherical particles in a cylindrical container....
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On the mathematical theory of ensemble (linear-Gaussian) Kalman–Bucy filtering
The purpose of this review is to present a comprehensive overview of the theory of ensemble Kalman–Bucy filtering for continuous-time,...
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Modeling Timing of Haulout and Foraging in Marine Iguanas
The study reported in this chapter was carried out in the Galá pagos Islands in parallel with the work on flightless cormorants reported in Chap....
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Optimal Predictive Impedance Control in the Presence of Uncertainty for a Lower Limb Rehabilitation Robot
As an innovative concept, an optimal predictive impedance controller (OPIC) is introduced here to control a lower limb rehabilitation robot (LLRR) in...
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Sub-epidemic Model Forecasts During the First Wave of the COVID-19 Pandemic in the USA and European Hotspots
Mathematical models have been widely used to understand the dynamics of the ongoing coronavirus disease 2019 (COVID-19) pandemic as well as to...
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Automated Radiotherapy Treatment Planning Optimization: A Comparison Between Robust Optimization and Adaptive Planning
Radiotherapy treatments must guarantee a proper coverage of the volume to treat (Planning Target Volume—PTV) while sparing all the organs at risk...
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Predicting the Last Zero of a Spectrally Negative Lévy Process
Last passage times arise in a number of areas of applied probability, including risk theory and degradation models. Such times are obviously not...
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Model-Free Control of Time Delay Systems
In this chapter, we present delay compensation schemes for the stabilization of time delay systems using reinforcement learning (RL). An extended...
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On the Atypical Strength Anisotropy of Weakly Cemented Sandstones
Abstract—An atypical strength anisotropy manifesting itself in a monotone decrease in strength with decreasing angle between the maximum compressive...
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Neural Predictors’ Accuracy
We examine the performance of different predictors in the deterministic environment and test their robustness against noise. In particular, we mimic...
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Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system
Multivariate time series is widely used to evaluate and predict the health state of system. To focus on the importance of prediction accuracy for...
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Scalarized black holes
Black holes represent outstanding astrophysical laboratories to test the strong gravity regime, since alternative theories of gravity may predict...
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The optimization and engineering at the service of the sustainable development of energy, water and environment systems
This editorial article discusses recent findings in the optimization and engineering for sustainable development. The current Special Issue (SI) of...
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Collision Avoidance for Mobile Robots Based on an Occupancy Grid
Communication among distributed systems under the regime of a distributed model predictive control scheme (DMPC), for example, mobile robots, is in...
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Direct Imposition of Boundary Conditions without a Fictitious Layer
This chapter presents an approach to enforce different combinations of boundary conditions while solving for the strong form of PD equilibrium...