Output feedback reinforcement learning control for linear systems
This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only...
Saved in:
Main Author: | Rizvi, Syed Ali Asad. |
---|---|
Other Authors: | Lin, Zongli, 1964-, SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
Cham :
Birkhäuser,
2023.
Cham : 2023. |
Physical Description: |
1 online resource (304 pages). |
Series: |
Control engineering (Birkhäuser)
|
Subjects: |
In Prospector
Similar Items
-
Reinforcement Learning : Optimal Feedback Control with Industrial Applications
by: Li, Jinna.
Published: (2023) -
Robust output feedback H-infinity control and filtering for uncertain linear systems
by: Chang, Xiao-Heng,
Published: (2014) -
Reinforcement learning for optimal feedback control : a Lyapunov-based approach
Published: (2018) -
Reinforcement learning aided performance optimization of feedback control systems
by: Hua, Changsheng.
Published: (2021) -
Feedback systems: input-output properties
by: Desoer, Charles A.
Published: (1975)