Control, Optimization, and Mathematical Modeling of Complex Systems

Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form th...

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Médium:	E-kniha
Jazyk:	angličtina
Vydáno:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Témata:	adaptive control adaptive interpolation algorithm air–sea fluxes asymptotic efficiency complex system computational fluid dynamics computer networks Computer science Computing and Information Technology continuous-time Markov chains continuum mechanisms controllability convexity evaluation data synthesis DC–DC boost converter deep learning deep LSTM discrete state space discrete velocity method dynamical tracking target Economics, Finance, Business and Management equilibrium point ergodicity bounds estimation evolution operator evolutionary algorithm evolutionary computation feature selection finite normal mixtures forecasting fractional-order virus models fuel cell function approximation GE-evolution operator GE-semigroup general synthesis problem global optimization hierarchical basis high dimensions image segmentation impact of the COVID-19 implicit function Industry and industrial studies Information technology industries interval analysis interval ordinary differential equations (ODEs) kinematic model of soft robots Lagrange multipliers lattice Boltzmann method logarithmic norm logistics businesses lyapunov analysis Lyapunov stability Lyapunov-type problems machine learning control mathematical modeling mathematical modeling of complex systems mathematical modelling Media, entertainment, information and communication industries minimax techniques model predictive control modeling of complex systems modelling in economics modular robots molecular dynamics modeling moving separation of mixtures MPC multidimensional interpolation n/a neural network architectures non-linear models numerical computing observability optimal control optimal control problem origami structures overestimators pareto optimization PEM PEMFC performance indicator Pontryagin’s maximum principle power electronic converter probability density functions proton electrolyte membrane proton exchange membrane randomized maximum entropy estimation rate of convergence regression analysis relative curvature remote sensing robotics applications rotation of vector field self-scalable robots semigroup ship towing system soft robotic neck soft robotics sparse grids statistical uncertainty stochastic GE-evolution operator stochastic linear systems in finite and infinite dimensional spaces stochastic singular linear systems in finite and infinite dimensional spaces structure change stuxnet virus supervisory control and data acquisition systems symbolic regression synergistic effect tendon-driven actuators terrain identification thermokarst lakes transfer learning turbulent plasma underestimators
ISBN:	9783036576411, 303657641X, 9783036576404, 3036576401
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Popis
Shrnutí:	Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
ISBN:	9783036576411 303657641X 9783036576404 3036576401
DOI:	10.3390/books978-3-0365-7641-1