1. Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism
- Author
-
Jinran Wu, Ge Jingzhi, Yang Yang, Qing Meng, and Yue Dong
- Subjects
Scheme (programming language) ,0209 industrial biotechnology ,Class (set theory) ,Computer science ,Cognitive Neuroscience ,observer ,event-triggered scheme ,02 engineering and technology ,resilient control ,Computer Science Applications ,Power (physics) ,Nonlinear system ,020901 industrial engineering & automation ,Artificial Intelligence ,Control theory ,Backstepping ,Bounded function ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,State observer ,nonlinear systems ,computer ,computer.programming_language - Abstract
An event-triggered resilient control framework is proposed for a class of uncertain nonlinear systems under DoS attacks. Unknown dynamics are approximated by fuzzy logic systems (FLSs), while a switched adaptive state observer is presented to reconstruct unavailable states in the presence of intermittent attacks. Then, the backstepping method is developed for the control scheme; additionally, a relative threshold triggered scheme is designed. Furthermore, in theory, we prove the proposed control scheme guarantees all closed-loop signals remain bounded, and the error signal converges to a small area of the origin under DoS attacks. Finally, a power networked system and a numerical example are used to verify the effectiveness of the theoretical claims in our proposed scheme.
- Published
- 2020