Satisfactory Fault-tolerant Control of NNCS under Event-triggered Sparse Data Transmission

Authors

Yajie Li, 1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China; ;2. Automation Institute of Lanzhou Petrochemical of Petro China, Lanzhou 730060, China;
Li Wei, 1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China; ;

Abstract

Abstract: Adopting the discrete event-triggered communication scheme (DETCS), the satisfactory fault-tolerant control of nonlinear networked control system (NNCS) under the sparse data transmission circumstance was studied. Based on the background of event-triggered sparse data transmission, a closed-loop model with actuator failure and actuator saturation was established. Based on Lyapunov-Krasovskii function and the safety degree definition proposed in this paper, a sufficient condition was presented for NNCS with the generalized H_?/H₂ performance under the case of actuator saturation and actuator failure, which was the contractively invariant set of fault-tolerance with α-safety degree, and the corresponding co-design method was also given. A simulation example verifies the feasibility of the co-design method and the effectiveness of saving network resource. Some related qualitative principles of compromise balance are summarized for the design of practical system.

Recommended Citation

Li, Yajie and Wei, Li (2019) "Satisfactory Fault-tolerant Control of NNCS under Event-triggered Sparse Data Transmission," Journal of System Simulation: Vol. 30: Iss. 4, Article 46.
DOI: 10.16182/j.issn1004731x.joss.201804046
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/46

First Page

1581

Revised Date

2016-07-02

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804046

Last Page

1593

CLC

TP302.8

Recommended Citation

LiYajie, Li Wei. Satisfactory Fault-tolerant Control of NNCS under Event-triggered Sparse Data Transmission[J]. Journal of System Simulation, 2018, 30(4): 1581-1593.

DOI

10.16182/j.issn1004731x.joss.201804046