Dynamical Systems Modelling
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Handbook Of Dynamic System Modeling
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Author : Paul A. Fishwick
language : en
Publisher: CRC Press
Release Date : 2007-06-01
Handbook Of Dynamic System Modeling written by Paul A. Fishwick and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-01 with Computers categories.
The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic Sy
Dynamical Systems Modelling
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Author : Jan Awrejcewicz
language : en
Publisher: Springer
Release Date : 2016-09-02
Dynamical Systems Modelling written by Jan Awrejcewicz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-02 with Mathematics categories.
The book is a collection of contributions devoted to analytical, numerical and experimental techniques of dynamical systems, presented at the international conference "Dynamical Systems: Theory and Applications," held in Łódź, Poland on December 7-10, 2015. The studies give deep insight into new perspectives in analysis, simulation, and optimization of dynamical systems, emphasizing directions for future research. Broadly outlined topics covered include: bifurcation and chaos in dynamical systems, asymptotic methods in nonlinear dynamics, dynamics in life sciences and bioengineering, original numerical methods of vibration analysis, control in dynamical systems, stability of dynamical systems, vibrations of lumped and continuous systems, non-smooth systems, engineering systems and differential equations, mathematical approaches to dynamical systems, and mechatronics.
Modelling And Parameter Estimation Of Dynamic Systems
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Author : J.R. Raol
language : en
Publisher: IET
Release Date : 2004-08-13
Modelling And Parameter Estimation Of Dynamic Systems written by J.R. Raol and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-13 with Mathematics categories.
This book presents a detailed examination of the estimation techniques and modeling problems. The theory is furnished with several illustrations and computer programs to promote better understanding of system modeling and parameter estimation.
Modeling And Analysis Of Dynamic Systems
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Author : Charles M. Close
language : en
Publisher:
Release Date : 1978
Modeling And Analysis Of Dynamic Systems written by Charles M. Close and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Science categories.
Translational mechanical systems; Standard forms for system models; Rotational mechanical systems; Developing a fixed linear model; Simulation diagrams; Numerical solutions; Analytical solution of fixed linear models; Linear electrical circuits; Nonlinear electrical circuits; Electromechanical systems; The laplace transform; Transfer-function analysis; Thermal systems; Hydraulic systems; Feedback systems; Matrix methods; Case study.
Hybrid Dynamical Systems
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Author : Rafal Goebel
language : en
Publisher: Princeton University Press
Release Date : 2012-03-18
Hybrid Dynamical Systems written by Rafal Goebel and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-18 with Mathematics categories.
Hybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, or combinations of digital and analog components. With the tools of modern mathematical analysis, Hybrid Dynamical Systems unifies and generalizes earlier developments in continuous-time and discrete-time nonlinear systems. It presents hybrid system versions of the necessary and sufficient Lyapunov conditions for asymptotic stability, invariance principles, and approximation techniques, and examines the robustness of asymptotic stability, motivated by the goal of designing robust hybrid control algorithms. This self-contained and classroom-tested book requires standard background in mathematical analysis and differential equations or nonlinear systems. It will interest graduate students in engineering as well as students and researchers in control, computer science, and mathematics.
Dynamic Systems
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Author : Bingen Yang
language : en
Publisher:
Release Date : 2022
Dynamic Systems written by Bingen Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with TECHNOLOGY & ENGINEERING categories.
"A dynamic system is a combination of components or subsystems, which, with temporal characteristics, interact with each other to perform a specified objective. There exists such a variety of dynamic systems in applications, as machines, devices, appliances, equipment, structures, and industrial processes. Mathematically, a dynamic system is characterized by time-dependent functions or variables, which are governed by a set of differential equations. Physically, the components of a dynamic system may fall in different fields of science and engineering, such as mechanics, thermodynamics, fluid dynamics, vibrations, elasticity, electronics, acoustics, optics, and controls. As an example, an electric motor is a dynamic system consisting of mechanical components (like rotating shaft, bearing and housing), electromagnetic components (such as magnets, coils and electrical interconnects), and components for controlling the motor speed (including speed sensor, control logic board and driver). These components interact with each other to achieve a desired motor speed. The rotation speed and circuit currents are time-dependent variables of the motor that are governed by differential equations in the fields of dynamics and electromagnetism"--
Modeling Identification And Simulation Of Dynamical Systems
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Author : P. P. J. van den Bosch
language : en
Publisher: CRC Press
Release Date : 1994-07-15
Modeling Identification And Simulation Of Dynamical Systems written by P. P. J. van den Bosch and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-07-15 with Technology & Engineering categories.
This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics. Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.
Continuous System Modeling
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Author : François E. Cellier
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-05-23
Continuous System Modeling written by François E. Cellier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-05-23 with Computers categories.
Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering systems where they enable us to predict the behavior of a system before it is ever actually built. Modeling and simulation are the only techniques available that allow us to analyze arbitrarily non-linear systems accurately and under varying experimental conditions. Continuous System Modeling introduces the student to an important subclass of these techniques. They deal with the analysis of systems described through a set of ordinary or partial differential equations or through a set of difference equations. This volume introduces concepts of modeling physical systems through a set of differential and/or difference equations. The purpose is twofold: it enhances the scientific understanding of our physical world by codifying (organizing) knowledge about this world, and it supports engineering design by allowing us to assess the consequences of a particular design alternative before it is actually built. This text has a flavor of the mathematical discipline of dynamical systems, and is strongly oriented towards Newtonian physical science.
Modelling And Control Of Dynamic Systems Using Gaussian Process Models
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Author : Juš Kocijan
language : en
Publisher: Springer
Release Date : 2015-11-21
Modelling And Control Of Dynamic Systems Using Gaussian Process Models written by Juš Kocijan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-21 with Technology & Engineering categories.
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
Systems Modeling And Computer Simulation
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Author : Naim Kheir
language : en
Publisher: Routledge
Release Date : 2018-12-12
Systems Modeling And Computer Simulation written by Naim Kheir and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Technology & Engineering categories.
This second edition describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. Coverage new to this edition includes: a chapter on non-linear systems analysis and modelling, complementing the treatment of of continuous-time and discrete-time systems and a chapter on the computer animation and visualization of dynamical systems motion.