Handbook of Finite State Based Models and Applications (Discrete Mathematics and its Applications)

Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and Applications provides a complete collection of introductory materials on finite state theories, algorithms, and the latest domain applications. For beginners, the book is a handy reference for quickly looking up model details. For more experienced researchers, it is suitable as a source of in-depth study in this area.

The book first introduces the fundamentals of automata theory, including regular expressions, as well as widely used automata, such as transducers, tree automata, quantum automata, and timed automata. It then presents algorithms for the minimization and incremental construction of finite automata and describes Esterel, an automata-based synchronous programming language for embedded system software development.

Moving on to applications, the book explores regular path queries on graph-structured data, timed automata in model checking security protocols, pattern matching, compiler design, and XML processing. It also covers other finite state-based modeling approaches and applications, including Petri nets, statecharts, temporal logic, and UML state machine diagrams.

Jiacun Wang is an associate professor and the chair of the Department of Computer Science and Software Engineering at Monmouth University in West Long Branch, New Jersey. Dr. Wang is a senior member of IEEE and an associate editor of IEEE Transactions on Systems, Man and Cybernetics, Part C. His research interests include software engineering, discrete event systems, formal methods, wireless networking, and real-time distributed systems.