Modeling Dynamic Systems

Modeling and Control of Dynamic Systems teaches the basic concepts of control systems analysis and design. The book first focuses on understanding the basic building blocks of the dynamic systems surr

Examining cutting-edge adaptive systems research, this book addresses the challenges of understanding, predicting, and controlling systems of networked computers, along with the human component behind

Mechatronic Systems introduces these developments by considering the dynamic modelling of components together with their interactions. The whole range of elements is presented from actuators, through

Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools

Introduction.I.OVERVIEWOFDYNAMICSYSTEMS.1.IntroductiontoModelingandSimulation.2.ModelsforDynamicSystemsandSystemsSimilarity.II.MODELINGOFENGINEERINGSYSTEMS.3.MechanicalSystems.4.ElectricalSystems.5.Fl

Analyzes the dynamic performance of interconnected power systems.* Examines the characteristics of the various components of a power system during normal operating conditions and during disturbances.*

This excellent title introduces the concept of mission-oriented sensor networks as distributed dynamic systems of interacting sensing devices that are networked to jointly execute complex real-time mi

The theory of causal differential equations (CDE) includes several types of dynamic systems such as ordinary differential equations, functional differential equations, integro-differential equations (

The book covers the most common and importantapproaches for the identification of nonlinear staticand dynamic systems. Additionally, it provides thereader with the necessary background on optimization

Discover a practical, streamlined approach to systems development that focuses on the latest developments with Tilley's Systems Analysis and Design, Cengage International Edition, 13th, and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study emerging technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and cybersecurity. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment.

Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as att

While most data mining algorithms deal with static data, the seven papers in this collection address systems producing massive high-speed streams of ever-changing data generated by dynamic process

Essays in Natural Resource and Environmental Economics is a collection of Professor Batabyal's previously published and unpublished papers on the subject of natural resource and environmental economic

A dynamic computational model linking up human cognitive-develop?mental properties (local mechanisms) and the transition patterns of sound changes (global phenomena) was built, in order to

Table of Contents:I. Single Degree of Freedom Systems1. Equations of Motion, Problem Statement, and Solution Methods2. Free Vibration3. Response to Harmonic and Periodic Excitations4. Response to Arbitrary, Step, and Pulse Excitations5. Numerical Evaluation of Dynamic Response6. Earthquake Response of Linear Systems7. Earthquake Response of Inelastic Systems8. Generalized Single-Degree-of-Freedom SystemsII. Multi Degree of Freedom Systems9. Equations of Motion, Problem Statement, and Solution Methods10. Free Vibration11. Damping in Structures12. Dynamic Analysis and Response of Linear Systems13. Earthquake Analysis of Linear Systems14. Analysis of Nonclassically Damped Linear Systems15. Reduction of Degrees of Freedom16. Numerical Evaluation of Dynamic Response17. Systems with Distributed Mass and Elasticity18. Introduction to the Finite Element Method III. Earthquake Response, Design, and Evaluation of Multistory Buildings19. Earthquake Response of Linearly Elastic Buildings20. E

For courses in electrical & computing engineering. Feedback control fundamentals with context, case studies, and a focus on design Feedback Control of Dynamic Systems, 8th Edition, covers the material that every engineer needs to know about feedback control-including concepts like stability, tracking, and robustness. Each chapter presents the fundamentals along with comprehensive, worked-out examples, all within a real-world context and with historical background provided.The text is devoted to supporting students equally in their need to grasp both traditional and more modern topics of digital control, and the author's focus on design as a theme early on, rather than focusing on analysis first and incorporating design much later. An entire chapter is devoted to comprehensive case studies, and the 8th Edition has been revised with up-to-date information, along with brand-new sections, problems, and examples.

Dynamic Models of Oligopoly

This book introduces the basic tools of dynamic optimization in economics to study environmental problems, applies econometric methods to estimate and test the models derived by dynamic optimization,

Written by one of the leading experts in the field, this book focuses on the interplay between model specification, data collection, and econometric testing of dynamic asset pricing models. The first

Contributors from business and economics investigate the accuracy and dynamic performance of a high-frequency forecast model for the Japanese and US economies based on the Current Quarter Model, or

Appropriate for a two-semester course, this text is for graduate students in economics, management science, engineering, and operations research. It has been carefully prepared to be self-contained. B

Long (McGill U., Canada) has found that his studies are improved by a wide array of dynamic game models to apply in various fields of economics, and so here describes a number of examples. The level o

本書內容包含PART I: Continuous Systems Chapter 1. Introduction to Control Systems Chapter 2. Mathematical Concepts for Control Systems Chapter 3. Control System Devices and Components Chapter 4. Trans

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents