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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Vendedor de AbeBooks desde 7 de abril de 2005
Condición: Nuevo
EUR 31,90
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDescripción del artículo del vendedor
New Book. Shipped from UK. Established seller since 2000.
N° de ref. del artículo L2-9798295423116
- Título
- Engineering the Future
- Autor
- Ant
- Editorial
- Dr. ant
- Año de publicación
- 2025
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 13
- 9798295423116
- Peso del artículo
- 965 gramos
In an era where engineering systems are growing ever more complex, dynamic, and interconnected, the fusion of artificial intelligence with classical control and optimization is redefining what is possible in automation, robotics, and industrial processes. This work is a sweeping, rigorous, and forward-looking exploration of this transformative landscape, offering both a foundational and practical guide for engineers, researchers, and advanced students seeking to master the next generation of intelligent control systems.
The book opens by grounding the reader in the essential principles of optimal control, convex optimization, and system modeling. It revisits the classical paradigms-open-loop and closed-loop control, the calculus of variations, Pontryagin's Minimum Principle, and the Linear Quadratic Regulator (LQR)-not as relics of the past, but as the mathematical bedrock upon which modern AI-augmented strategies are built. Through lucid explanations and illustrative examples, it demonstrates how these time-honored tools remain vital, even as the field pivots toward data-driven and learning-based approaches.
A central theme is the seamless integration of machine learning into the control loop. The text delves into system identification from data, showing how neural networks, Gaussian processes, and other learning algorithms can model complex, nonlinear, or poorly understood dynamics-often outperforming traditional analytical models in real-world scenarios. The reader is guided through the nuances of data acquisition, preprocessing, and validation, emphasizing the importance of robust, high-quality datasets for successful learning.
The narrative then advances to the cutting edge: reinforcement learning (RL) for control. Here, the book demystifies RL fundamentals, Markov Decision Processes, value-based and policy-based methods, and the emergence of deep RL. It explores how RL agents can learn optimal control policies through interaction, even in the absence of explicit system models, and how these agents can be safely deployed in physical systems through the use of safety layers, constraint handling, and robust verification techniques.
Safety and reliability are recurring motifs. The book addresses the critical need for constraint-aware learning, formal verification, and the design of safety shields that guarantee operation within prescribed boundaries-even as controllers adapt and learn online. It presents Model Predictive Control (MPC) as a unifying framework, showing how AI can enhance prediction models, cost functions, and optimization solvers, enabling MPC to tackle previously intractable problems.
Industrial case studies-ranging from vehicle control and autonomous driving to wind turbine optimization-bring the theory to life, illustrating the tangible impact of AI-augmented control in practice. Laboratory exercises and implementation guides empower readers to experiment with real hardware and simulation environments, bridging the gap between theory and application.
Looking to the horizon, the book surveys future trends: explainable AI in control, lifelong learning, multi-agent systems, quantum computing, and the rise of digital twins. It closes with a thoughtful discussion of ethics, societal impact, and the open problems that will shape the next decade of intelligent automation.
Comprehensive yet accessible, is both a roadmap and a manifesto for the future of engineering-where learning, adaptation, and intelligence are at the core of every control system.
“Sinopsis” puede pertenecer a otra edición de este título.
PBShop.store US
Wood Dale, IL, Estados Unidos de America
Vendedor de AbeBooks desde 7 de abril de 2005
Tarifas de envío en Estados Unidos de America
| Artículo | De 7 a 14 días hábiles | De 7 a 14 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 0,00 |
Métodos de pago
Descripción de la tienda
We first started out as “The Paperback Exchange,” a chain of physical bookstores where we would part exchange your beloved books for new stories to transport you to faraway places. However, as shopping started to evolve to online shops and marketplaces, we bid our stores goodbye to become “PBShop.” This transition has only allowed us to blossom as we now ship thousands of titles to book lovers across the globe. We pride ourselves in being a community of local book lovers which allows our passion and devotion to shine in everything we do. In 2020 we not only celebrated our 20th birthday but our 1st birthday as being completely employee owned after becoming an E.O.T in September 2019. We are proud to be different and embrace standing apart on a book mountain by working from a virtual inventory which allows us to provide thousands of books that may be difficult to get for your bookshelf or your studies. Working with a number of different suppliers allows us to explore other avenues such as puzzles, sheet music and even stationery so we really do have something for everyone. Life is about being versatile in all realms of existence. If this is your first visit or you are a returning customer, we would like to welcome you to the PBShop family, for there is no friend as loyal as a book. We are a company who put our customers at the centre of everything we do as we understand the importance of reading because once you learn to read, you will forever be free. There are a whole lot of things in this world of ours that we are yet to explore, which is why we will forever inspire curious minds.…
Especialidad
Hardbacks, PaperbacksInformación empresarial del vendedor
Pbshop.co.uk Ltd
Unit 22 Horcott Industrial Estate, Horcott Road
Fairford, Reino Unido GL7 4BX
Condiciones de venta
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Condiciones de envío
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