Communications and Control Engineering: A Model-Based Approach with Finite Automata

Hadjicostis, Christoforos N.

Estimation and Inference in Discrete Event Systems chooses a popular model for emerging automation systems—finite automata under partial observation—and focuses on a comprehensive study of the key problems of state estimation and event inference. The text includes treatment of current, delayed, and initial state estimation. Related applications for assessing and enforcing resiliency—fault detection and diagnosis—and security—privacy and opacity—properties are discussed, enabling the reader to apply these techniques in a variety of emerging applications, among them automated manufacturing processes, intelligent vehicle/highway systems, and autonomous vehicles.

The book provides a systematic development of recursive algorithms for state estimation and event inference. The author also deals with the verification of pertinent properties such as:

• the ability to determine the exact state of a system, “detectability”;
• the ability to ensure that certain classes of faults can be detected/identified, “diagnosability”; and
• the ability to ensure that certain internal state variables of the system remain “hidden” from the outside world regardless of the type of activity that is taking place, “opacity”.

Details

Published by: Springer

Publication Date: 2020-10-21

Format: Paperback

ISBN-13: 9783030308230

DOI: 10.1007/978-3-030-30821-6

Dimensions: 235cm x155cm

Pages: 346