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Data-Driven Spatiotemporal Modeling and Control of Nonlinear Distributed Parameter Systems and Their Applications

Name: Data-Driven Spatiotemporal Modeling and Control of Nonlinear Distributed Parameter Systems and Their Applications
Brand: Springer-Verlag GmbH
SKU: 9789819541140
Price: 882.13 RON
Availability: InStock

Autor: Xinjiang Lu

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Legare: Copertă tare

Editura: Springer-Verlag GmbH

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This book provides a systematic overview and classification on modeling and control of different typ...

Informații despre carte

Autor

Xinjiang Lu

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2025

Pagini

246

EAN

9789819541140

ISBN

981954114X

Enbook ID

49752674

Editura

Springer-Verlag GmbH

Greutate

622

Descriere completă

This book provides a systematic overview and classification on modeling and control of different types of Distributed Parameter Systems (DPSs), and develops new methods to tackle some of these unsolved problems, facilitating a better understanding of DPSs and providing references for practical problem-solving in the relevant fields. All these methods presented in this book are verified by specific scenarios. It is worth mentioning that in the context of disciplinary integration and artificial intelligence, the research ideas, methods and models in this book can be further integrated and developed. From application perspectives, they can also extend from traditional mechanical, electrical, and chemical fields to emerging fields of new energy, new materials, and multimodal information. Under the background of disciplinary integration and the development of artificial intelligence, the book will be beneficial to undergraduate and postgraduate students in interdisciplinary disciplines including manufacturing engineering, mechanical engineering, electrical engineering, computer engineering, and control engineering, etc. It is also intended for researchers and practical users in the fields of nonlinear dynamics, spatiotemporal modeling and intelligent control.

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Data-Driven Spatiotemporal Modeling and Control of Nonlinear Distributed Parameter Systems and Their Applications

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