IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover)
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IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover)
Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers.
IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover)
№ на артикул: 156168881

IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover)

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№ на артикул: 156168881

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What Stands Out

Advanced Techniques
Explores cutting-edge adaptive dynamic programming methods, enabling readers to tackle complex system challenges efficiently and effectively.
Comprehensive Coverage
Offers an in-depth analysis of robust techniques in systems science, bridging theory and real-world applications for professionals and researchers alike.
Expert Insights
Written by leading experts in the field, providing valuable perspectives and practical solutions for modern engineering problems, making it a must-have resource.

Информация за продукта

Shop IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover) online at a best price in Bulgaria. 55624807
  • A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems' complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.
Manual & guide typeInstruction Manual
Book formatHardcover
Edition1st Edition
Skill levelAdvanced
Pages216
LanguageEnglish
BrandYu Jiang; Zhong-Ping Jiang
Pub date2017-05-08
AuthorYu Jiang; Zhong-Ping Jiang
GenreEducation
Bisac subject headingTechnology & Engineering, Science
Series titleIEEE Press Systems Science and Engineering
Dimensions6.20 x 0.80 x 9.30 in (15.7 x 2 x 23.6 cm)
Original languagesEnglish
Awards wonShimemura Young Author Prize

Who Should Buy?

Suitable For
  • Academics and Researchers

    Ideal for scholars and researchers focused on control systems and dynamic programming methodologies in automation and robotics.

  • Industry Professionals

    Suitable for engineers and practitioners working in automation, robotics, and systems engineering who require advanced dynamic programming techniques.

  • Graduate Students

    Beneficial for graduate students pursuing degrees in electrical engineering, systems science, or fields related to adaptive learning algorithms.

Not Suitable For
  • Casual Readers

    Not suitable for general readers without a technical background or specific interest in systems engineering topics.

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Yu Jiang; Zhong-Ping Jiang System Theory Science Books Editorial Review

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€ 135

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Характеристики и предимства

  • Provides a comprehensive look at state-of-the-art ADP theory and applications.
  • Addresses data-driven optimal control design challenges with a theoretical framework.
  • Covers the latest developments in RADP for complex engineering systems.
  • Includes real-world implementations in power systems with MATLAB examples.
  • Explores reverse engineering topics related to the human brain and cognition.
  • Serves as a valuable resource for engineers, advanced students, and researchers.

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