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Modeling and Simulation for Control Engineers



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ISBN 9781498797078
February 15, 2021 Forthcoming by CRC Press
200 Pages

 
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Book Description

A step-by-step resource for engineers, this book presents modeling and simulation (M&S) methods applicable to feedback control systems, gives an overview of M&S from a control engineering point of view, applies fundamental methods to practical examples, and proposes practical solutions to common issues found in practice. The content includes numerical algorithms, pseudo-codes, scripts, best practices, and thorough examples for various types of dynamic feedback systems. The M&S of both continuous-time and discrete-time feedback control systems are also covered.

Table of Contents

Introduction to modeling and simulation. Context. Terminology. Control engineering. Feedback control systems in real‐life. Verification and validation. Modeling and simulation process. Overview of dynamic systems and feedback loops. Dynamic systems. Feedback control. Types of systems. Formulation and representation. Interconnections. Assumptions and basics of modeling methods. Simplifications. Levels of details and fidelity. Simple subsystems. Typical equations. Events. Heuristics. Numerical approximations. Modeling with block diagrams. Requirements. Steps in modeling. Verification. Documentation. Libraries. Model hierarchy. Example. Modeling continuoustime feedback control systems. Feedback control systems. Practical numerical methods. Systems with events. Examples. Modeling discretetime feedback control systems. Conventional numerical methods. Shift and delta forms. Mixed‐type systems. Discretization. Discrete‐time systems. Multi‐rate control. Control over a network. Examples. Fundamentals of numerical simulations. Context. Definitions. Discrete‐time and continuous‐time domains. Solvers. Time steps. Data acquisition. Validation and verification. Documentation. Typical problems and solutions. Deadlock. Algebraic loops. Stiffness. Lack of memory. Execution time. Discontinuities. Time step selection. Rate transition. Numerical errors. Quantization and finite word length effects. Simulation studies for control engineers. Context. Performance measures. Monte Carlo simulations. Parallel and distributed simulations. Real‐time simulations. Hardware‐in‐the‐loop experiments. Networked control systems. Experimental studies for control engineers. Context. Experiments versus simulations. Test apparatus. Protocol of experiments. Feedback control of mobile robot. Results and analysis.

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Author(s)

Biography

Camille A. Rabbath

Chun-Yi Su