Observer-based Adaptive Sliding Mode Control for Uncertain Stochastic Systems with Bounded Transition Probabilities
- Resource Type
- Conference
- Authors
- Gao, Ziyuan; Guo, Xinyu; Sun, Yucheng; Wang, Yingchun
- Source
- 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Cyber-Energy Systems and Intelligent Energy (ICCSIE), 2022 First International Conference on. :1-5 Jan, 2023
- Subject
- Computing and Processing
Power, Energy and Industry Applications
Uncertainty
Adaptive systems
Stochastic systems
Delay effects
Stability criteria
Observers
Numerical simulation
Markovian jump systems(MJSs)
Slide mode control(SMC)
Time-varying delays
Matched uncertainties
Bounded transition probabilities
- Language
With constrained transition rates and matching uncertainties, the sliding mode control(SMC) issue of uncertain stochastic system is the focus of this study. This complex system is given an appropriate observer-based adaptive sliding mode controller. The system’s state is first estimated using a Luenberger observer. Second, the sliding mode control approach ensures that Markovian jump systems (MJSs) with constrained transition rates and matching uncertainties are asymptotically stable. A numerical simulation is used to validate the results at the end.