1.

Record Nr.

UNINA9910682589003321

Autore

Liu Yang

Titolo

Sampled-data Control of Logical Networks / / by Yang Liu, Jianquan Lu, Liangjie Sun

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789811982613

9811982619

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (228 pages)

Disciplina

511.3

Soggetti

Computational complexity

Computer science - Mathematics

Mathematical statistics

System theory

Control theory

Stochastic processes

Probabilities

Computational Complexity

Probability and Statistics in Computer Science

Systems Theory, Control

Stochastic Systems and Control

Probability Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 1 Introduction -- Chapter 2 Stabilization of sampled-data Boolean control networks -- Chapter 3 Controllability, observability and synchronization of sampled-data Boolean control networks -- Chapter 4 Stabilization of probabilistic Boolean control networks under sampled-data control -- Chapter 5 Stabilization of aperiodic sampled-data Boolean control networks -- Chapter 6 Event-triggered control for logical control networks.

Sommario/riassunto

This book mainly focuses on the sampled-data control of logical networks. We believe that the methods (semi-tensor product of matrices), results (recent results on Boolean control networks under



periodic sampled-data control, Boolean control networks under aperiodic sampled-data control, and logical control networks under event-triggered control) and topics (logical networks) in this book have become of particular interest to readers recently. Firstly, logical networks are of interest due to their rich range of applications in biology, game theory, coding, finite automata, graph theory, and other fields. Secondly, semi-tensor product of matrices offers a useful tool for formulating, analyzing and designing controllers for logical networks. Moreover, this book is the first to introduce sampled-data control into the study of logical control networks. All research results in this book are novel and worthy of further study. The book’s content is divided into three parts (Boolean control networks under periodic sampled-data control, Boolean control networks under aperiodic sampled-data control, and logical control networks under event-triggered control), which essentially progress from easier to more difficult. In addition, corresponding examples and diagrams are included in each section to facilitate understanding.