Event-Triggered Sliding Mode Control of Discrete-Time Markov Jump Systems with Partially Unknown Transition Probabilities
- Resource Type
- Conference
- Authors
- Lin, Wenshuai; Yao, Deyin; Gao, Xiaobin; Zhou, Qi
- Source
- 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) Information, Cybernetics, and Computational Social Systems (ICCSS), 2018 5th International Conference on. :96-101 Aug, 2018
- Subject
- Bioengineering
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Sliding mode control
Markov processes
Stability analysis
Closed loop systems
State feedback
Symmetric matrices
Event-triggered
Markov jump systems
Partially unknown transition probabilities
- Language
- ISSN
- 2639-4235
This paper is concerned with the issue of event-triggered sliding mode control for discrete-time Markov jump systems with partially unknown transition probabilities. The problems of information channel congestion are solved through the event-triggered scheme. By utilizing Lyapunov stability theory, sufficient conditions that ensure the sliding dynamics achieve the desired performance are derived. A new sliding mode control law is designed such that the reach ability, the stochastic stability and H α performance are guaranteed simultaneously. Finally, a numerical example is proposed to show the effectiveness of the sliding mode control scheme.