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Item #:
184458100
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control
86% of respondents would recommend this to a friend
Item #:
184458100
XOF 49389
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What Stands Out
Advanced Learning Techniques
Utilizes cutting-edge reinforcement learning methods to optimize control strategies, ensuring learning from vast data inputs for precise performance.
Model Predictive Control
Incorporates model predictive control to enhance predictive accuracy, enabling proactive decision-making in dynamic environments and improving control efficiency.
Adaptive Strategies
Features adaptive control mechanisms that adjust to changing conditions, ensuring robust system performance across varying scenarios while minimizing manual interventions.
Product Details
| Publisher | Athena Scientific |
| Publication date | March 19, 2022 |
| Language | English |
| Print length | 211 pages |
| ISBN-10 | 1886529175 |
| ISBN-13 | 978-1886529175 |
| Item Weight | 1.05 pounds (480 grams) |
| Dimensions | 10 x 8 x 2 inches (25.4 x 20.3 x 5.1 cm) |
Who Should Buy?
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Control Engineers
Ideal for control engineers seeking advanced techniques in optimal and model predictive control for complex systems.
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Researchers
Beneficial for researchers focusing on adaptive control and machine learning methodologies in modern control systems.
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Graduate Students
Perfect for graduate students studying control theory who want to deepen their understanding through practical applications.
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Non-technical Users
Not suitable for non-technical users or those without a background in control systems or mathematics.
Product Description
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control
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Intelligence & Semantics Editorial Review
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control is a captivating read published by Athena Scientific on March 19, 2022. This book, containing 211 pages of insightful content, delves into advanced control techniques influenced by the groundbreaking AlphaZero AI. Readers have praised its clear language and structured approach, making complex topics more accessible. The book's comprehensive coverage is ideal for both students and professionals interested in AI applications in control systems. Its dimensions are 10 x 8 x 2 inches, making it a solid yet portable resource for enthusiasts eager to enhance their understanding of model predictive control and adaptive control methods.
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Pros
- Well-structured and easily understandable content
- Focuses on AI applications in control systems
- Comprehensive resource for students and professionals
- Clear explanations of complex techniques
- Portable size for easy reading
Cons
- Some readers may prefer more advanced topics covered
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