Modeling and Simulation for Control Engineers (Hardcover, 1)

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 continuous?time feedback control systems. Feedback control systems. Practical numerical methods. Systems with events. Examples. Modeling discrete?time 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.