System Dynamics and Control with Bond Graph Modeling, Kypuros, Javier
Автор: S. Ozcelik Название: Modeling, Sensing and Control of Gas Metal Arc Welding, ISBN: 0080440665 ISBN-13(EAN): 9780080440668 Издательство: Elsevier Science Рейтинг: Цена: 116920.00 T Наличие на складе: Есть Описание: Arc welding is one of the key processes in industrial manufacturing, with welders using two types of processes - Gas Metal Arc Welding (GMAW) and Gas Tungsten Arc Welding (GTAW). This book provides a survey-oriented account of the modeling, sensing, and automatic control of the GMAW process.
Автор: Dersin, Pierre Название: Modeling Remaining Useful Life Dynamics in Reliability Engineering ISBN: 1032168595 ISBN-13(EAN): 9781032168593 Издательство: Taylor&Francis Рейтинг: Цена: 89820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1) Provides both practical and theoretical background of RUL 2) Describes how the uncertainty of RUL can be related to RUL loss rate 3) Provides new insights into time-to-failure distributions 4) Offers tools for predictive maintenance
Автор: Jan Awrejcewicz Название: Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems ISBN: 904817984X ISBN-13(EAN): 9789048179848 Издательство: Springer Рейтинг: Цена: 174130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains the invited papers presented at the 9th International Conference `Dynamical Systems - Theory and Applications` held in Lodz, Poland, December 17-20, 2007, dealing with nonlinear dynamical systems. This book is of interest to pure and applied scientists working in the field of nonlinear dynamics.
Автор: George Liberopoulos; Chrissoleon T. Papadopoulos; Название: Stochastic Modeling of Manufacturing Systems ISBN: 3642065880 ISBN-13(EAN): 9783642065880 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Manufacturing systems rarely perform exactly as expected and predicted. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches.
Автор: Austin Blaquiere Название: Modeling and Control of Systems in Engineering, Quantum Mechanics, Economics and Biosciences ISBN: 3540507906 ISBN-13(EAN): 9783540507901 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Part I of this book accounts for new developments concerning robustness, systems with two time scales and related treatments utilizing singular perturbation analysis. Part II is mainly concerned with systems in which uncertainty comes out through quantum mechanical rules;
Автор: Fernando Mat?a; G. Nicol?s Marichal; Emilio Jim?ne Название: Fuzzy Modeling and Control: Theory and Applications ISBN: 9462390819 ISBN-13(EAN): 9789462390812 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90`s. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style.
Автор: Kyandoghere Kyamakya; Wolfgang Mathis; Ruedi Stoop Название: Recent Advances in Nonlinear Dynamics and Synchronization ISBN: 3319865277 ISBN-13(EAN): 9783319865270 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical systems, presenting both literature reviews and novel concepts.
It develops analytical or numerical approaches, which are simple to use, robust, stable, flexible and universally applicable to the analysis of complex nonlinear dynamical systems. As such it addresses key challenges are addressed, e.g. efficient handling of time-varying dynamics, efficient design, faster numerical computations, robustness, stability and convergence of algorithms.
The book provides a series of contributions discussing either the design or analysis of complex systems in sciences and engineering, and the concepts developed involve nonlinear dynamics, synchronization, optimization, machine learning, and forecasting. Both theoretical and practical aspects of diverse areas are investigated, specifically neuroco
mputing, transportation engineering, theoretical electrical engineering, signal processing, communications engineering, and computational intelligence.
It is a valuable resource for students and researchers interested in nonlinear dynamics and synchronization with applications in selected areas.
Modern Geometrical Machinery; 1 .1 Introduction; 1 .2 Smooth Manifolds; 1.2.1 Intuition Behind a Smooth Manifold; 1.2.2 Definition of a Smooth Manifold; 1.2.3 Smooth Maps Between Manifolds; 1.2.4 (Co)Tangent Bundles of a Smooth Manifold; 1.2.5 Tensor Fields and Bundles of a Smooth Manifold; 1.2.6 Lie Derivative on a Smooth Manifold; 1.2.7 Lie Groups and Associated Lie Algebras; 1.2.8 Lie Symmetries and Prolongations on Manifolds;1.2.9 Riemannian Manifolds; 1.2.10 Finsler Manifolds; 1.2.11 Symplectic Manifolds; 1.2.12 Complex and Kдhler Manifolds; 1.2.13 Conformal Killing-Riemannian Geometry; 1.3 Fibre Bundles; 1.3.1 Intuition Behind a Fibre Bundle; 1.3.2 Definition of a Fibre Bundle;1.3.3 Vector and Affine Bundles; 1.3.4 Principal Bundles; 1.3.5 Multivector-Fields and Tangent-Valued Forms; 1.4 Jet Spaces; 1.4.1 Intuition Behind a Jet Space; 1.4.2 Definition of a 1-Jet Space; 1.4.3 Connections as Jet Fields; 1.4.4 Definition of a 2-Jet Space; 1.4.5 Higher-Order Jet Spaces; 1.4.6 Jets in Mechanics;1.4.7 Jets and Action Principle; 1.5 Path Integrals: Extending Smooth Geometrical Machinery; 1.5.1 Intuition Behind a Path Integral; 1.5.2 Path Integral History; 1.5.3 Standard Path-Integral Quantization; 1.5.4 Sum over Geometries/Topologies; 1.5.5 TQFT and Stringy Path Integrals; 2 Dynamics of High-Dimensional Nonlinear Systems; 2.1 Mechanical Systems; 2.1.1 Autonomous Lagrangian/Hamiltonian Mechanics; 2.1.2 Non-Autonomous Lagrangian/Hamiltonian Mechanics; 2.1.3 Semi-Riemannian Geometrical Dynamics; 2.1.4 Relativistic and Multi-Time Rheonomic Dynamics; 2.1.5 Geometrical Quantization; 2.2 Physical Field Systems; 2.2.1 n-Categorical Framework; 2.2.2 Lagrangian Field Theory on Fibre Bundles; 2.2.3 Finsler-Lagrangian Field Theory; 2.2.4 Hamiltonian Field Systems: Path-Integral Quantization; 2.2.5 Gauge Fields on Principal Connections; 2.2.6 Modern Geometrodynamics; 2.2.7 Topological Phase Transitions and Hamiltonian Chaos; 2.2.8 Topological Superstring Theory; 2.2.9 Turbulence and Chaos Field Theory; 2.3 Nonlinear Control Systems; 2.3.1 The Basis of Modern Geometrical Control;2.3.2 Geometrical Control of Mechanical Systems;2.3.3 Hamiltonian Optimal Control and Maximum Principle; 2.3.4 Path-Integral Optimal Control of Stochastic Systems; 2.4 Human-Like Biomechanics; 2.4.1 Lie Groups and Symmetries in Biomechanics; 2.4.2 Muscle-Driven Hamiltonian Biomechanics; 2.4.3 Biomechanical Functors; 2.4.4 Biomechanical Topology; 2.5 Neurodynamics; 2.5.1 Microscopic Neurodynamics and Quantum Brain; 2.5.2 Macroscopic Neurodynamics; 2.5.3 Oscillatory Phase Neurodynamics;2.5.4 Neural Path-Integral Model for the Cerebellum; 2.5.5 Intelligent Robot Control; 2.5.6 Brain-Like Control Functor in Biomechanics; 2.5.7 Concurrent and Weak Functorial Machines; 2.5.8 Brain-Mind Functorial Machines; 26 Psycho-Socio-Economic Dynamics; 2.6.1 Force-Field Psychodynamics; 2.6.2 Geometrical Dynamics of Human Crowd; 2.6.3 Dynamical Games on Lie Groups; 2.6.4 Nonlinear Dynamics of Option Pricing; 2.6.5 Command/Control in Human-Robot Interactions; 2.6.6 Nonlinear Dynamics of Complex Nets; 2.6.7 Complex Adaptive Systems: Common Characteristics; 2.6.8 FAM Functors and Real-Life Games; 2.6.9 Riemann-Finsler Approach to Information Geometry; 3 Appendix: Tensors and Functors; 3.1 Elements of Classical Tensor Analysis; 3.1.1 Transformation of Coordinates and Elementary Tensors; 3.1.2 Euclidean Tensors; 3. 1 .3 Tensor Derivatives on Riemannian Manifolds; 3.1.4 Tensor Mechanics in Brief; 3.1.5 The Covariant Force Law in Robotics and Biomechanics; 3.2 Categories and Functors; 3.2.1 Maps; 3.2.2 Categories; 3.2.3 Functors; 3.2.4 Natural Transformations; 3.2.5 Limits and Colimits; 3.2.6 The Adjunction; 3.2.7 ri-Categories; 3.2.8 Abelian Functorial Algebra; References; Index.
Автор: Kwatny Harry G., Miu-Miller Karen Название: Power System Dynamics and Control ISBN: 1493979191 ISBN-13(EAN): 9781493979196 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Recent events worldwide have brought the startling realization that civil infrastructure power systems are vulnerable to assault by small organized groups with malicious intent. Whereas power systems have traditionally been designed with a focus on protecting them from routine component failures and atypical user demand, we now also confront the fact that deliberate attack intended to cause maximum disruption is a real possibility.
In response to this changing environment, new concepts and tools have emerged that address many of the issues facing power system operation today. This book is aimed at introducing these ideas to practicing power systems engineers, control systems engineers interested in power systems, and graduate students in these areas.
The author focuses on two main themes: the nonlinear dynamics of power systems, and the discrete-event mechanisms that are a dominant factor in power system operations. Stability, voltage collapse, power transfer limits, power flow oscillations, and other important aspects of power systems behavior have been elucidated through the application of advances in dynamical systems and nonlinear control theory. The interaction of discrete protection systems and control actions are central to the behavior of power systems, especially during emergencies. New methods of modeling, analysis, and design of such hybrid systems continue to be a central theme of present-day control systems research.
In this work, these ideas are examined with an emphasis on how they can be applied to improve our understanding of power system behavior and help design better control systems. The book is supplemented by a Mathematica package enabling readers to work out nontrivial examples and problems. Also included is a set of Mathematica tutorial notebooks providing detailed solutions of the worked examples in the text. In addition to Mathematica, simulations are carried out using Simulink with Stateflow.
Автор: Rill, Georg , Arrieta Castro, Abel Название: Road Vehicle Dynamics ISBN: 0367199734 ISBN-13(EAN): 9780367199739 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Road Vehicle Dynamics: Fundamentals and Modeling with MATLAB (R), Second Edition combines coverage of vehicle dynamics concepts with MATLAB (R) v9.4 programming routines and results, and numerous chapter exercises.
Автор: Rill, Georg , Arrieta Castro, Abel Название: Road Vehicle Dynamics ISBN: 0367493985 ISBN-13(EAN): 9780367493981 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Road Vehicle Dynamics: Fundamentals and Modeling with MATLAB (R), Second Edition combines coverage of vehicle dynamics concepts with MATLAB (R) v9.4 programming routines and results, and numerous chapter exercises.
Автор: Amit Kumar, Mangey Ram Название: Systems Reliability Engineering: Modeling and Performance Improvement ISBN: 311060454X ISBN-13(EAN): 9783110604542 Издательство: Walter de Gruyter Рейтинг: Цена: 166060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
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