Artificial neural networks for system identification & control / Serhat Seker, Tahir Cetin Akinci and Alfredo A. Martinez-Morales.

Author/creator Seker, Serhat
Other author Akinci, Tahir Cetin
Other author Martinez-Morales, Alfredo A.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2026.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Contents Artificial neuron and its mathematical model -- Information content of neural network topology -- Back propagation algorithm -- Dynamical neural networks -- System identification and use of neural networks -- Neural network for applications of control theory -- Condition monitoring with neural nets.
Abstract "In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification & Control offers a clear roadmap to mastering AI-driven modeling and control. From mathematical neuron models to adaptive ANN-based controllers, this book combines theory, algorithms, and hands-on coding to help readers design and analyze intelligent systems. Rich with visual examples and real-world case studies, it demonstrates how neural networks outperform traditional control methods in handling nonlinearity, uncertainty, and dynamic system behavior. Offers a practical and accessible guide to ANN-based system identification and control Blends mathematical insight with real engineering applications Provides Python-supported examples and visual case studies Highlights key advances in nonlinear modeling and adaptive control design Bridges the gap between theory, simulation, and real-world deployment This book is aimed toward engineers, researchers, and advanced students seeking to apply artificial intelligence to control theory, robotics, and signal processing and to design smarter, more adaptive engineering systems"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2026000259
ISBN9781041049111 hbk
ISBN9781041143383 pbk
ISBNebk

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