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In recent years fractional calculus has played an important role in various fields such as mechanics, electricity, chemistry, biology, economics, modeling, identification, control theory and signal processing. The scope of this book is to present the state of the art in the study of fractional systems and the application of fractional differentiation. Furthermore, the manufacture of nanowires is important for the design of nanosensors and the development of high-yield thin films is vital in procuring clean solar energy. This wide range of applications is of interest to engineers, physicists and mathematicians.
Nanotechnology -- Congresses. --- Nanotechnology -- Mathematical models -- Congresses. --- Nanotechnology. --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Civil Engineering --- Applied Mathematics --- Fractional calculus. --- Molecular technology --- Nanoscale technology --- Derivatives and integrals, Fractional --- Differentiation of arbitrary order, Integration and --- Differintegration, Generalized --- Fractional derivatives and integrals --- Generalized calculus --- Generalized differintegration --- Integrals, Fractional derivatives and --- Integration and differentiation of arbitrary order --- Engineering. --- Computer simulation. --- System theory. --- Applied mathematics. --- Engineering mathematics. --- Mechanical engineering. --- Electrical engineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Mechanical Engineering. --- Electrical Engineering. --- Systems Theory, Control. --- Simulation and Modeling. --- High technology --- Calculus --- Computer engineering. --- Systems theory. --- Mathematical and Computational Engineering. --- Engineering, Mechanical --- Engineering --- Machinery --- Steam engineering --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Computers --- Engineering analysis --- Mathematical analysis --- Design and construction --- Mathematics --- Systems, Theory of --- Systems science --- Science --- Electric engineering --- Philosophy
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This unique book explores recent developments in experimental research in this broad field, organized in four distinct sections. Part I introduces the reader to the fractional dynamics and Lie group analysis for nonlinear partial differential equations. Part II covers chaos and complexity in nonlinear Hamiltonian systems, important to understand the resonance interactions in nonlinear dynamical systems, such as Tsunami waves and wildfire propagations; as well as Lev flights in chaotic trajectories, dynamical system synchronization and DNA information complexity analysis. Part III examines chaos and periodic motions in discontinuous dynamical systems, extensively present in a range of systems, including piecewise linear systems, vibro-impact systems and drilling systems in engineering. And in Part IV, engineering and financial nonlinearity are discussed. The mechanism of shock wave with saddle-node bifurcation and rotating disk stability will be presented, and the financial nonlinear models will be discussed. This book also: · Provides Lie group analysis with nonlinear self-adjointness and conservation laws · Presents computational methods and control in fractional calculus · Discusses discontinuous dynamics and chaos in drilling systems and vibro-impact systems · Illustrates the mechanism and dynamics of shock waves and dynamical stability Discontinuity and Complexity in Nonlinear Physical Systems is an ideal book for scientific researchers, academics, and graduate students in the field of nonlinear dynamics.
Engineering. --- Nonlinear systems. --- Physics. --- Natural philosophy --- Philosophy, Natural --- Systems, Nonlinear --- Construction --- Statistical physics. --- Complexity. --- Complex Systems. --- Theoretical, Mathematical and Computational Physics. --- Statistical Physics and Dynamical Systems. --- Industrial arts --- Technology --- Physics --- Mathematical statistics --- Statistical methods --- Physical sciences --- Dynamics --- System theory --- Computational complexity. --- Dynamical systems. --- Mathematical physics. --- Physical mathematics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Complexity, Computational --- Electronic data processing --- Machine theory
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Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it. A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence. The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application. Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. The huge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.
Information Technology --- Computer Science (Hardware & Networks) --- Conscious automata. --- Cybernetics. --- Intelligent control systems. --- Engineering & Applied Sciences --- Computer Science --- Computational intelligence. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Intelligence, Computational --- Computer science. --- Computers. --- System theory. --- Engineering. --- Industrial engineering. --- Production engineering. --- Computer Science. --- Computer Science, general. --- Engineering, general. --- Artificial Intelligence (incl. Robotics). --- Computing Methodologies. --- Industrial and Production Engineering. --- Systems Theory, Control. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence --- Soft computing --- Systems theory. --- Artificial Intelligence. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Construction --- Industrial arts --- Technology --- Informatics --- Science --- Systems, Theory of --- Systems science --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Philosophy
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Nonlinear Systems and Methods For Mechanical, Electrical and Biosystems presents topics observed at the 3rd Conference on Nonlinear Science and Complexity(NSC), focusing on energy transfer and synchronization in hybrid nonlinear systems. The studies focus on fundamental theories and principles,analytical and symbolic approaches, computational techniques in nonlinear physical science and mathematics. Broken into three parts, the text covers: Parametrical excited pendulum, nonlinear dynamics in hybrid systems, dynamical system synchronization and (N+1) body dynamics as well as new views different from the existing results in nonlinear dynamics. Mathematical methods for dynamical systems including conservation laws, dynamical symmetry in nonlinear differential equations and invex energies. Nonlinear phenomena in physical problems such as solutions, complex flows, chemical kinetics, Toda lattices and parallel manipulator. This book is useful to scholars, researchers and advanced technical members of industrial laboratory facilities developing new tools and products.
Dynamics. --- Nonlinear systems. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Differentiable dynamical systems. --- Differential equations, Nonlinear. --- Nonlinear differential equations --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Engineering. --- Computer mathematics. --- Mathematical models. --- Continuum physics. --- Vibration. --- Dynamical systems. --- Vibration, Dynamical Systems, Control. --- Classical Continuum Physics. --- Mathematical Modeling and Industrial Mathematics. --- Computational Science and Engineering. --- Nonlinear theories --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics
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Fractional Dynamics and Control provides a comprehensive overview of recent advances in the areas of nonlinear dynamics, vibration and control with analytical, numerical, and experimental results. This book provides an overview of recent discoveries in fractional control, delves into fractional variational principles and differential equations, and applies advanced techniques in fractional calculus to solving complicated mathematical and physical problems.Finally, this book also discusses the role that fractional order modeling can play in complex systems for engineering and science. Discusses how fractional dynamics and control can be used to solve nonlinear science and complexity issues Shows how fractional differential equations and models can be used to solve turbulence and wave equations in mechanics and gravity theories and Schrodinger’s equation Presents factional relaxation modeling of dielectric materials and wave equations for dielectrics Develops new methods for control and synchronization of factional dynamical systems Fractional Dynamics and Control is an ideal book for scholars, researchers and advanced technical members of industrial laboratory facilities, for developing new tools and products in the field of nonlinear dynamics and control.
Engineering. --- Nonlinear control theory. --- Nonlinear systems. --- Nonlinear control theory --- Nonlinear systems --- Fractional calculus --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Operations Research --- Applied Physics --- Fractional calculus. --- Dynamics. --- Mathematical physics. --- Physical mathematics --- Physics --- Systems, Nonlinear --- Dynamical systems --- Kinetics --- Derivatives and integrals, Fractional --- Differentiation of arbitrary order, Integration and --- Differintegration, Generalized --- Fractional derivatives and integrals --- Generalized calculus --- Generalized differintegration --- Integrals, Fractional derivatives and --- Integration and differentiation of arbitrary order --- Mathematics --- Computer mathematics. --- Statistical physics. --- Complexity, Computational. --- Vibration. --- Dynamical systems. --- Vibration, Dynamical Systems, Control. --- Complexity. --- Computational Science and Engineering. --- Nonlinear Dynamics. --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- System theory --- Calculus
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This book presents recent developments in nonlinear dynamics with an emphasis on complex systems. The volume illustrates new methods to characterize the solutions of nonlinear dynamics associated with complex systems. This book contains the following topics: new solutions of the functional equations, optimization algorithm for traveling salesman problem, fractals, control, fractional calculus models, fractional discretization, local fractional partial differential equations and their applications, and solutions of fractional kinetic equations.
Engineering mathematics --- Engineering. --- Complexity. --- Complex Systems. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Construction --- Industrial arts --- Technology --- Computational complexity. --- System theory. --- Statistical physics. --- Physics --- Mathematical statistics --- Systems, Theory of --- Systems science --- Science --- Complexity, Computational --- Electronic data processing --- Machine theory --- Statistical methods --- Philosophy
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This book collects chapters dealing with some of the theoretical aspects needed to properly discuss the dynamics of complex engineering systems. The book illustrates advanced theoretical development and new techniques designed to better solve problems within the nonlinear dynamical systems. Topics covered in this volume include advances on fixed point results on partial metric spaces, localization of the spectral expansions associated with the partial differential operators, irregularity in graphs and inverse problems, Hyers-Ulam and Hyers-Ulam-Rassias stability for integro-differential equations, fixed point results for mixed multivalued mappings of Feng-Liu type on Mb-metric spaces, and the limit q-Bernstein operators, analytical investigation on the fractional diffusion absorption equation. Brings new insights into the field of applied mathematical methods applied in engineering science including nonparametric regression by conic quadratic programming and fractional order filter discretization by particle swarm optimization method Demonstrates the existence of a solution for a sum fractional finite difference inclusion; Presents multiple solutions of second order differential equations.
Engineering mathematics. --- Engineering. --- Differential equations, partial. --- Engineering Mathematics. --- Complexity. --- Partial Differential Equations. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Engineering --- Engineering analysis --- Mathematical analysis --- Partial differential equations --- Construction --- Industrial arts --- Technology --- Mathematics --- Computational complexity. --- Partial differential equations. --- Statistical physics. --- Physics --- Mathematical statistics --- Complexity, Computational --- Electronic data processing --- Machine theory --- Statistical methods --- Differential equations, Partial.
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This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems. Presents new approaches to design and optimize emerging manufacturing systems Examines the similarities between design and optimization processes Explains metaheuristics applied to complex engineering problems Features sections on optimization in the energy storage and generation and optimal control in economics and operational research.
Mathematical physics. --- Engineering mathematics. --- Mathematical models. --- Mathematical optimization. --- Computer mathematics. --- Mathematical Applications in the Physical Sciences. --- Engineering Mathematics. --- Mathematical Modeling and Industrial Mathematics. --- Optimization. --- Computational Science and Engineering. --- Engineering mathematics --- Computer mathematics --- Electronic data processing --- Mathematics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Models, Mathematical --- Engineering --- Engineering analysis --- Physical mathematics --- Physics
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This collection covers new aspects of numerical methods in applied mathematics, engineering, and health sciences. It provides recent theoretical developments and new techniques based on optimization theory, partial differential equations (PDEs), mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena. Specific topics covered in detail include new numerical methods for nonlinear partial differential equations, global optimization, unconstrained optimization, detection of HIV- Protease, modelling with new fractional operators, analysis of biological models, and stochastic modelling. Presents new concepts to understand dynamical systems and develop modelling techniques Describes influence of fractional operators on modelling complex features of real-world problems Analyzes the epidemic of spreading models Introduces new hybrid methods for global and constrained optimization.
Mathematical physics. --- Computational complexity. --- Computer mathematics. --- Statistical physics. --- Partial differential equations. --- Mathematical Applications in the Physical Sciences. --- Complexity. --- Computational Science and Engineering. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Partial Differential Equations. --- Mathematics --- Math --- Science --- Partial differential equations --- Physics --- Mathematical statistics --- Computer mathematics --- Electronic data processing --- Complexity, Computational --- Machine theory --- Physical mathematics --- Statistical methods --- Computer science --- Differential equations, Partial. --- Mathematics.
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