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Adaptive dynamic programming for control: A survey and recent advances
This article reviews the recent development of adaptive dynamic programming (ADP) with
applications in control. First, its applications in optimal regulation are introduced, and some …
applications in control. First, its applications in optimal regulation are introduced, and some …
Fault-tolerant control of a hydraulic servo actuator via adaptive dynamic programming
V Stojanović - 2023 - scidar.kg.ac.rs
The fault-tolerant control problem of a hydraulic servo actuator in the presence of actuator
faults is studied utilizing adaptive dynamic programming. This task is challenging because of …
faults is studied utilizing adaptive dynamic programming. This task is challenging because of …
Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach
V Djordjevic, H Tao, X Song, S He, W Gao… - 2023 - scidar.kg.ac.rs
Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great
power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex …
power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex …
Data-driven control of hydraulic servo actuator based on adaptive dynamic programming
The hydraulic servo actuators (HSA) are often used in the industry in tasks that request great
powers, high accuracy and dynamic motion. It is well known that HSA is a highly complex …
powers, high accuracy and dynamic motion. It is well known that HSA is a highly complex …
Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
This paper studies the adaptive and optimal output-feedback problem for continuous-time
uncertain systems with nonlinear dynamic uncertainties. Data-driven output-feedback …
uncertain systems with nonlinear dynamic uncertainties. Data-driven output-feedback …
Optimal output-feedback control of unknown continuous-time linear systems using off-policy reinforcement learning
A model-free off-policy reinforcement learning algorithm is developed to learn the optimal
output-feedback (OPFB) solution for linear continuous-time systems. The proposed …
output-feedback (OPFB) solution for linear continuous-time systems. The proposed …
Reinforcement learning-based linear quadratic regulation of continuous-time systems using dynamic output feedback
In this paper, we propose a model-free solution to the linear quadratic regulation (LQR)
problem of continuous-time systems based on reinforcement learning using dynamic output …
problem of continuous-time systems based on reinforcement learning using dynamic output …
Robust output regulation and reinforcement learning-based output tracking design for unknown linear discrete-time systems
In this article, we investigate the optimal output tracking problem for linear discrete-time
systems with unknown dynamics using reinforcement learning (RL) and robust output …
systems with unknown dynamics using reinforcement learning (RL) and robust output …
Inverse reinforcement learning for trajectory imitation using static output feedback control
This article studies the trajectory imitation control problem of linear systems suffering
external disturbances and develops a data-driven static output feedback (OPFB) control …
external disturbances and develops a data-driven static output feedback (OPFB) control …
Model-free optimal output regulation for linear discrete-time lossy networked control systems
In this article, a new model-free approach is proposed to solve the output regulation problem
for networked control systems, where the system state can be lost in the feedback process …
for networked control systems, where the system state can be lost in the feedback process …