Control System Fundamentals

Sifting through the variety of control systems applications can be a chore. Diverse and numerous technologies inspire applications ranging from float valves to microprocessors. Relevant to any system you might use, the highly adaptable Control System Fundamentals fills your need for a comprehensive treatment of the basic principles of control system engineering.
This overview furnishes the underpinnings of modern control systems. Beginning with a review of the required mathematics, major subsections cover digital control and modeling. An international panel of experts discusses the specification of control systems, techniques for dealing with the most common and important control system nonlinearities, and digital implementation of control systems, with complete references. This framework yields a primary resource that is also capable of directing you to more detailed articles and books.
This self-contained reference explores the universal aspects of control that you need for any application. Reliable, up-to-date, and versatile, Control System Fundamentals answers your basic control systems questions and acts as an ideal starting point for approaching any control problem.

William S. Levine

Mathematical Foundations Ordinary Linear Differential and Difference Equations The Fourier, Laplace, and z-Transforms Matrices and Linear Algebra Complex Variables Models for Dynamical Systems Standard Mathematical Models Graphical Models Determining Models Analysis and Design Methods for Continuous-Time Systems Analysis Methods Stability Tests Design Methods Digital Control Discrete-Time Systems Sampled Data Systems Discrete-Time Equivalents to Continuous-Time Systems Design Methods for Discrete-Time, Linear Time-Invariant Systems Quantization Effects Sample-Rate Selection Real-Time Software for Implementation of Feedback Control Programmable Controllers Analysis and Design Methods for Nonlinear Systems Analysis Methods Design Methods Software for Control System Analysis and Design Numerical and Computational Issues in Linear Control and System Theory Software for Modeling and Simulating Control Systems Computer-Aided Control Systems Design