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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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Bibliographic Details
Main Author: Posypkin, Mikhail
Other Authors: Gorshenin, Andrey, Titarev, Vladimir
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Computational Fluid Dynamics
Structure Change
Statistical Uncertainty
Adaptive Interpolation Algorithm
Robotics Applications
Regression Analysis
General Synthesis Problem
Stochastic Ge-evolution Operator
Evolutionary Computation
Asymptotic Efficiency
Feature Selection
Interval Analysis
Evolution Operator
Deep Learning
Fuel Cell
Synergistic Effect
Observability
High Dimensions
Pemfc
Numerical Computing
Implicit Function
Optimal Control
Mathematical Modeling
Evolutionary Algorithm
Information Technology Industries / Bicssc
Modelling In Economics
Equilibrium Point
Underestimators
Kinematic Model Of Soft Robots
Air-sea Fluxes
Complex System
Overestimators
Ergodicity Bounds
Proton Exchange Membrane
Neural Network Architectures
Modeling Of Complex Systems
Origami Structures
Dc-dc Boost Converter
Molecular Dynamics Modeling
Minimax Techniques
Convexity Evaluation
Data Synthesis
Pem
Function Approximation
Discrete Velocity Method
Lyapunov Analysis
Multidimensional Interpolation
Interval Ordinary Differential Equations (odes)
Pareto Optimization
Symbolic Regression
Continuum Mechanisms
Performance Indicator
Ge-semigroup
Self-scalable Robots
Deep Lstm
Sparse Grids
Forecasting
Dynamical Tracking Target
Lagrange Multipliers
Supervisory Control And Data Acquisition Systems
Pontryagin's Maximum Principle
N/a
Discrete State Space
Mpc
Rate Of Convergence
Lyapunov-type Problems
Thermokarst Lakes
Continuous-time Markov Chains
Power Electronic Converter
Logarithmic Norm
Controllability
Moving Separation Of Mixtures
Finite Normal Mixtures
Rotation Of Vector Field
Stochastic Singular Linear Systems In Finite And Infinite Dimensional Spaces
Mathematical Modelling
Proton Electrolyte Membrane
Tendon-driven Actuators
Ship Towing System
Transfer Learning
Lattice Boltzmann Method
Model Predictive Control
Non-linear Models
Global Optimization
Mathematical Modeling Of Complex Systems
Computer Networks
Stuxnet Virus
Fractional-order Virus Models
Optimal Control Problem
Stochastic Linear Systems In Finite And Infinite Dimensional Spaces
Probability Density Functions
Logistics Businesses
Computer Science / Bicssc
Turbulent Plasma
Soft Robotics
Remote Sensing
Estimation
Soft Robotic Neck
Relative Curvature
Randomized Maximum Entropy Estimation
Semigroup
Terrain Identification
Adaptive Control
Ge-evolution Operator
Hierarchical Basis
Modular Robots
Machine Learning Control
Image Segmentation
Lyapunov Stability
Impact Of The Covid-19
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (438 p.)
ISBN:books978-3-0365-7641-1
9783036576411
9783036576404

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