Control, Optimization, and Mathematical Modeling of Complex Systems

Συνεισφορές: Posypkin, Mikhail, Gorshenin, Andrey, Titarev, Vladimir

Θεματικοί όροι: optimal control problem, evolutionary computation, robotics applications, optimal control, Lyapunov stability, equilibrium point, symbolic regression, Pontryagin’s maximum principle, continuous-time Markov chains, ergodicity bounds, discrete state space, rate of convergence, logarithmic norm, interval analysis, function approximation, global optimization, convexity evaluation, overestimators, underestimators, machine learning control, general synthesis problem, evolutionary algorithm, adaptive interpolation algorithm, interval ordinary differential equations (ODEs), sparse grids, hierarchical basis, multidimensional interpolation, high dimensions, molecular dynamics modeling, randomized maximum entropy estimation, probability density functions, Lagrange multipliers, Lyapunov-type problems, implicit function, rotation of vector field, asymptotic efficiency, thermokarst lakes, forecasting, dynamical tracking target, ship towing system, relative curvature, adaptive control, discrete velocity method, lattice Boltzmann method, computational fluid dynamics, mathematical modeling, estimation, minimax techniques, pareto optimization, regression analysis, statistical uncertainty, proton exchange membrane, proton electrolyte membrane, PEM, fuel cell, PEMFC, power electronic converter, DC–DC boost converter, model predictive control, MPC, self-scalable robots, modular robots, origami structures, complex system, synergistic effect, performance indicator, structure change, soft robotics, continuum mechanisms, modeling of complex systems, kinematic model of soft robots, mathematical modeling of complex systems, non-linear models, soft robotic neck, tendon-driven actuators, mathematical modelling, modelling in economics, impact of the COVID-19, logistics businesses, fractional-order virus models, stuxnet virus, numerical computing, supervisory control and data acquisition systems, computer networks, lyapunov analysis, image segmentation, remote sensing, terrain identification, data synthesis, transfer learning, controllability, observability, stochastic linear systems in finite and infinite dimensional spaces, stochastic singular linear systems in finite and infinite dimensional spaces, semigroup, evolution operator, GE-semigroup, GE-evolution operator, stochastic GE-evolution operator, feature selection, finite normal mixtures, moving separation of mixtures, deep LSTM, neural network architectures, deep learning, turbulent plasma, air–sea fluxes, Information technology industries, Computer science

Περιγραφή αρχείου: image/jpeg

Σύνδεσμος πρόσβασης: https://directory.doabooks.org/handle/20.500.12854/101409
https://mdpi.com/books/pdfview/book/7506

Machine Learning Control Based on Approximation of Optimal Trajectories

Συγγραφείς: Askhat Diveev, Sergey Konstantinov, Elizaveta Shmalko, Ge Dong

Πηγή: Mathematics, Vol 9, Iss 3, p 265 (2021)

Θεματικοί όροι: machine learning control, general synthesis problem, symbolic regression, optimal control, evolutionary algorithm, Mathematics, QA1-939

Relation: https://www.mdpi.com/2227-7390/9/3/265; https://doaj.org/toc/2227-7390; https://doaj.org/article/8216bc6a8030468f8515911bf41cb4e5

Διαθεσιμότητα: https://doi.org/10.3390/math9030265
https://doaj.org/article/8216bc6a8030468f8515911bf41cb4e5