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Quantized Fault-Tolerant Control for Descriptor Systems with Intermittent Actuator Faults, Randomly Occurring Sensor Non-Linearity, and Missing Data
| Content Provider | MDPI |
|---|---|
| Author | Kchaou, Mourad Jerbi, Houssem Stefanoiu, Dan Popescu, Dumitru |
| Copyright Year | 2022 |
| Description | This paper examines the fault-tolerant control problem for discrete-time descriptor systems that are susceptible to intermittent actuator failures, nonlinear sensor data, and probability-based missing data. The discrete-time non-homogeneous Markov chain was adopted to describe the stochastic behavior of actuator faults. Moreover, Bernoulli-distributed stochastic variables with known conditional probabilities were employed to describe the practical features of random sensor non-linearity and missing data. In this study, the output signals were quantized and a dynamic output feedback controller was synthesized such that the closed-loop system was stochastically admissible and satisfied the strictly |
| Starting Page | 1872 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math10111872 |
| Journal | Mathematics |
| Issue Number | 11 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-05-30 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Industrial Engineering Intermittent Actuator Faults Markov Process Probabilistic Missing Data Randomly Occurring Sensor Non-linearity Output Feedback Control Dissipativity |
| Content Type | Text |
| Resource Type | Article |
