๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Online Adaptive Policy Learning Algorithm for $H_{\infty }$ State Feedback Control of Unknown Affine Nonlinear Discrete-Time Systems

โœ Scribed by Zhang, Huaguang; Qin, Chunbin; Jiang, Bin; Luo, Yanhong


Book ID
125850473
Publisher
Institute of Electrical and Electronics Engineers
Year
2014
Tongue
English
Weight
944 KB
Volume
44
Category
Article
ISSN
2168-2267

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Reinforcement Learning and Approximate D
โœ Lewis, Frank L.; Liu, Derong ๐Ÿ“‚ Article ๐Ÿ“… 2013 ๐Ÿ› John Wiley & Sons, Inc. ๐ŸŒ English โš– 404 KB

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single