eBook
Artificial Neural Networks for System Identification and Control
| Τίτλος: | Artificial Neural Networks for System Identification and Control |
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| Περιγραφή: | In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification and Control offers a clear roadmap to mastering artificial intelligence (AI)‑driven modeling and control. From mathematical neuron models to adaptive Artificial Neural Network (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 deploymentThis book is intended for 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. |
| Συγγραφείς: | Serhat Seker, Tahir Cetin Akinci, Alfredo A. Martinez-Morales |
| Resource Type: | eBook. |
| Θέματα: | Automatic control--Data processing, System identification--Data processing, Neural networks (Computer science) |
| Categories: | COMPUTERS / Data Science / Neural Networks, TECHNOLOGY & ENGINEERING / Signals & Signal Processing |
| Βάση Δεδομένων: | eBook Index |
| ISBN: | 9781041049111 9781003673972 9781040760987 9781040761052 |
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