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156168881
IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover)
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Item #:
156168881
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Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers.
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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.
Product Details
| Manual & guide type | Instruction Manual |
| Book format | Hardcover |
| Edition | 1st Edition |
| Skill level | Advanced |
| Pages | 216 |
| Language | English |
| Brand | Yu Jiang; Zhong-Ping Jiang |
| Pub date | 2017-05-08 |
| Author | Yu Jiang; Zhong-Ping Jiang |
| Genre | Education |
| Bisac subject heading | Technology & Engineering, Science |
| Series title | IEEE Press Systems Science and Engineering |
| Dimensions | 6.20 x 0.80 x 9.30 in (15.7 x 2 x 23.6 cm) |
| Original languages | English |
| Awards won | Shimemura Young Author Prize |
Who Should Buy?
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Academics and Researchers
Ideal for scholars and researchers focused on control systems and dynamic programming methodologies in automation and robotics.
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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.
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Casual Readers
Not suitable for general readers without a technical background or specific interest in systems engineering topics.
Product Description
IEEE Press Systems Science and Engineering: Robust Adaptive Dynamic Programming (Hardcover)
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Features & Benefits
- 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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