Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications

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Lin Xiao Lei Jia

Zeroing Neural Networks

Finite-time Convergence Design, Analysis and Applications

Lin Xiao, Lei Jia

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English

Wiley-IEEE Press
04 November 2022

Electronics & communications engineering; Neural networks & fuzzy systems

Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems

Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps.

Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more. Each part focuses on a specific type of time-varying computational problem, such as the application of FTZNN to the Lyapunov equation, linear matrix equation, and matrix inversion. Throughout the book, tables explain the performance of different models, while numerous illustrative examples clarify the advantages of each FTZNN method. In addition, the book:

Describes how to design, analyze, and apply FTZNN models for solving computational problems

Presents multiple FTZNN models for solving time-varying computational problems

Details the noise-tolerance of FTZNN models to maximize the adaptability of FTZNN models to complex environments

Includes an introduction, problem description, design scheme, theoretical analysis, illustrative verification, application, and summary in every chapter

Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications is an essential resource for scientists, researchers, academic lecturers, and postgraduates in the field, as well as a valuable reference for engineers and other practitioners working in neurocomputing and intelligent control.

By: Lin Xiao, Lei Jia
Imprint: Wiley-IEEE Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm, Spine: 24mm
Weight: 835g
ISBN: 9781119985990
ISBN 10: 1119985994
Pages: 432
Publication Date: 04 November 2022
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Hardback
Publisher's Status: Active

LIN XIAO, PhD, is a Professor in the College of Information Science and Engineering at Hunan Normal University, Changsha, China. He has authored more than 100 papers in international conferences and journals, including IEEE-TCYB, IEEE-TII, IEEE-TSMCS. Professor Xiao is Associate Editor of IEEE-TNNLS. LEI JIA is a PhD degree candidate in Operations Research and Control in the College of Mathematics and Statistics at Hunan Normal University, Changsha, China. She has authored or co-authored more than 20 scientific articles, including 13 IEEE-transaction papers.