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£115.20
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Springer Reinforcement Learning Optimal Feedback Control - Lyapunov Methods
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Most common price: £115 (68 days, 100.0%)
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Description
Key Features
Covers model-based and data-driven reinforcement learning methods specifically designed for optimal control problems in nonlinear deterministic dynamical systems.
Develops real-time data-driven identification techniques that enable system learning whilst operating under uncertainty conditions.
Employs Lyapunov-based analysis to provide rigorous theoretical stability guarantees and convergence proofs for learning algorithms.
Includes simulations and practical experiments that demonstrate the advantages of using system models and historical recorded data.
Published by Springer in the Communications and Control Engineering series, offering peer-reviewed academic content.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3030086895
- Category
- Books > Subjects > Reference
- Domain
- Amazon UK
- Release Date
- 26 December 2018
- Listed Since
- 30 December 2018
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