Adaptive Control of Dynamic Systems with Uncertainty and Quantization: Unlocking the Power of Feedback and Machine Learning

In today's rapidly evolving technological landscape, systems and devices are becoming increasingly complex and interconnected. This complexity brings about inherent uncertainties and limitations, posing significant challenges to the design and control of these systems. Adaptive control, a powerful technique that incorporates feedback and machine learning algorithms, offers a promising solution to address these challenges.

Unveiling the Book: Adaptive Control of Dynamic Systems with Uncertainty and Quantization"Adaptive Control of Dynamic Systems with Uncertainty and Quantization" is a comprehensive and cutting-edge reference that explores the latest advancements in adaptive control theory and its application to real-world systems. Authored by renowned experts in the field, this book provides a thorough understanding of the fundamental concepts, design methodologies, and practical applications of adaptive control.

Adaptive Control of Dynamic Systems with Uncertainty and Quantization (Automation and Control Engineering)

5 out of 5

Language	:	English
File size	:	20811 KB
Print length	:	256 pages

FREE

Key Features and BenefitsThe book is meticulously structured to guide readers through the intricacies of adaptive control, covering a wide range of topics:

• Robust and Adaptive Control: Learn the principles of robust and adaptive control techniques for handling uncertainties and disturbances.
• Quantization Effects in Control: Understand the impact of quantization on control systems and explore techniques to mitigate its effects.
• Model-Based Adaptive Control: Dive into model-based adaptive control methods, including parameter estimation and adaptive observers.
• Data-Driven Adaptive Control: Discover data-driven adaptive control approaches that leverage machine learning algorithms for real-time system identification and control.
• Case Studies and Applications: Gain practical insights through real-world applications of adaptive control in various engineering domains, such as robotics, aerospace, and power systems.

Target AudienceThe book is meticulously tailored for a diverse audience, including:

• Researchers: Explore cutting-edge research directions in adaptive control and contribute to the advancement of the field.
• Engineers: Acquire practical knowledge to design and implement adaptive control systems for real-world applications.
• Students: Gain a solid foundation in adaptive control theory and applications for academic pursuits and future careers.

About the AuthorsThe authors of "Adaptive Control of Dynamic Systems with Uncertainty and Quantization" are leading researchers and practitioners in the field:

• Dr. Zhihua Qu: Professor, The University of Texas at Dallas
• Dr. Masayoshi Tomizuka: Professor Emeritus, University of California, Berkeley
• Dr. Shuo Li: Associate Professor, South China University of Technology

Availability and Free Downloading Information"Adaptive Control of Dynamic Systems with Uncertainty and Quantization" is now available for Free Download through leading bookstores and online retailers. To Free Download your copy and begin your journey into adaptive control, visit [Bookstore Link Here].

Adaptive control is a transformative technology that empowers engineers and researchers to design and control complex systems in the face of uncertainty and limitations. "Adaptive Control of Dynamic Systems with Uncertainty and Quantization" is an indispensable resource that provides a comprehensive and up-to-date exposition of this field. Whether you are a seasoned expert or just starting your exploration, this book will guide you on a journey towards mastering adaptive control and unlocking its immense potential.

Adaptive Control of Dynamic Systems with Uncertainty and Quantization (Automation and Control Engineering)

5 out of 5

Language	:	English
File size	:	20811 KB
Print length	:	256 pages

FREE