Constrained Model Predictive Control of Interval Type-2 T–S Fuzzy Systems with Markovian Packet Loss

Xie, Hui; Wang, Jun; Tang, Xiaoming

doi:10.1007/s40313-017-0310-6

Cited by 4 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fundamental advantages of an NCS are the high reliability, the reasonable cost, and the ease of maintenance and diagnosis (Zhang et al 2001). Notwithstanding these advantages, novel issues appear with the use of this type of system compared with the classical systems, such as the packet dropout and the communication delay (Qiu et al 2013;Zhang and Yu 2008;Tan et al 2015;Xie et al 2017). Due to the stochastic characteristics of these two network issues, a precise mathematical model of the system is necessary to have a thorough knowledge of the system and avoid any potential destabilization.…”

Section: Introductionmentioning

confidence: 99%

Actuator Fault Estimation of a Networked Control System with Packet Loss

Abbadi

Jamouli

2021

J Control Autom Electr Syst

View full text Add to dashboard Cite

In this article, the actuator fault estimation of a networked control system (NCS) with packet dropout is studied. First, a Markov chain is utilized to describe the packet loss behaviour. Then, the global system is modelled as a Markovian jump linear system (MJLS). Next, a proportional-integral observer is used to estimate the actuator's fault. Sufficient conditions are written in the form of linear matrix inequality (LMI) after using the stochastic Lyapunov-Krasovskii functional. By applying matrix theory skills, we introduce some slack variables in the LMI for more relaxation. The obtained LMI has more advantages than others existing in the literature. Finally, a simulation is provided to show the validity of the proposed approach and compare the obtained results with other presented works.

show abstract

Section: Introductionmentioning

confidence: 99%