Predefined-Time Event-Triggered Tracking Control for Nonlinear Servo Systems: A Fuzzy Weight-Based Reinforcement Learning Scheme
Anhui University of Technology · Southeast University · +1 more institution
Abstract
In this paper, a novel reinforcement learning-based predefined-time control method for nonlinear servo systems with prescribed performance is proposed under an event-triggered strategy. Firstly, the nonlinear dynamics and control behaviors of the systems can be trained effectively through fuzzy logic systems under the identifier-critic-actor framework. Moreover, by employing the prescribed performance control and a switching event-triggered rule, system tracking performance can be ensured while decreasing the data transmission frequency. With the assistance of the predefined-time stability criteria, the boundedness of system variables and the convergence of tracking errors within a predetermined time can be…
Citation impact
- FWCI
- 48.27
- Percentile
- 100%
- References
- 41
Authors
5Topics & keywords
- Control theory (sociology)
- Reinforcement learning
- Computer science
- Fuzzy logic
- Fuzzy control system
- Nonlinear system
- Servomechanism
- Convergence (economics)