Asynchronous adaptive quantized feedback sliding mode control for semi-markovian jump systems: An event-triggered approach. (May 2020)
- Record Type:
- Journal Article
- Title:
- Asynchronous adaptive quantized feedback sliding mode control for semi-markovian jump systems: An event-triggered approach. (May 2020)
- Main Title:
- Asynchronous adaptive quantized feedback sliding mode control for semi-markovian jump systems: An event-triggered approach
- Authors:
- Li, Min
Liu, Ming
Zhang, Yingchun - Abstract:
- Abstract: This paper is concerned with the problem of event-triggered based asynchronous adaptive quantized sliding mode control (SMC) for It o ˆ stochastic control systems with semi-markovian switching and actuator failures. In this design work, the jump modes between plants and controller are asynchronous, which is represented by a hidden Markov model. The dynamical logarithmic quantizer is introduced in signal quantization both in sensors-to-controller and controller-to-actuators sides, and a new event-triggered detector condition is developed based on the quantized state vector. Combined with SMC and adaptive control techniques, a new event-triggered based asynchronous adaptive quantized SMC law is designed to stabilize the It o ˆ stochastic systems with semi-markovian switching, actuator failures and signal quantization. The proposed control law has ability to guarantee the robust performance of the closed-loop system in the presence of the effects of actuator failures, time delay resulting by event-triggered and signal quantization error. Moreover, the developed event-triggered based asynchronous adaptive quantized feedback SMC scheme can ensure that the sliding surface converges the defined small domain in finite time. The lower bound for inter-execution time is analyzed and presented, and sufficient condition under which the zenor behaviors can be avoided is given. Finally, an example is provided to demonstrate the effectiveness of the proposed design techniques.
- Is Part Of:
- Nonlinear analysis. Volume 36(2020)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 36(2020)
- Issue Display:
- Volume 36, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 36
- Issue:
- 2020
- Issue Sort Value:
- 2020-0036-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Sliding mode control -- Semi-Markovian jump systems -- Event-triggered control -- Quantized feedback control
Nonlinear functional analysis -- Periodicals
Analyse fonctionnelle non linéaire -- Périodiques
Nonlinear functional analysis
Periodicals
515.7248 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1751570X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.nahs.2019.100853 ↗
- Languages:
- English
- ISSNs:
- 1751-570X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6117.315800
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