Titlebook: Control Theory Tutorial; Basic Concepts Illus Steven A. Frank Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and The Author(s) 2018 Contro

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Introduction,This book introduces the basic principles of control theory in a concise self-study guide. The introductory chapter provides an overview of the three parts of the book: basic principles, design tradeoffs, and common challenges.

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Control Theory DynamicsThe mathematics of classical control theory depends on linear ordinary differential equations, which commonly arise in all scientific disciplines. Control theory emphasizes a powerful Laplace transform expression of linear differential equations that helps in the conceptual understanding and analysis of complex systems.

开始从未

eustachian-tube

Performance and Robustness MeasuresA theory of design tradeoffs requires broadly applicable measures of cost, performance, stability, and robustness. This chapter introduces the key measures of performance. The following chapters apply these measures to the analysis of particular systems.

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RegulationThis chapter develops the techniques needed to analyze how quickly a system can return to its setpoint after disturbance. The analysis also considers the design tradeoffs that arise with respect to other measures of performance, such as system stability or responsiveness to a change in setpoint.

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Brittle

NonlinearityReal systems are nonlinear. This chapter begins with three reasons why the core theory of control focuses on linear analysis. The chapter continues by introducing various design methods that explicitly consider nonlinear system dynamics.

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,Einführung: Vom Wert eines Buches,tral role in robust control systems. The classic example of proportional, integral, and derivative control is used to illustrate the sensitivities of control systems and the design tradeoffs that arise between alternative performance goals.

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,Kultur, Führung & Mitarbeiter,uctuate over time. Designing a control system that can perform well when the intrinsic dynamics are uncertain raises new challenges. This chapter introduces the fundamental concepts of designing stable systems under uncertainty.