Robust simultaneous fault detection and control for a class of nonlinear stochastic switched delay systems under asynchronous switching
| Autor: | Hossein Shokouhi-Nejad, Amir Rikhtehgar Ghiasi, Mohammad Ali Badamchizadeh |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Optimization problem Computer Networks and Communications Applied Mathematics Detector 02 engineering and technology Fault detection and isolation Nonlinear system 020901 industrial engineering & automation Exponential stability Control and Systems Engineering Control theory Asynchronous communication Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) Mathematics |
| Zdroj: | Journal of the Franklin Institute. 354:4801-4825 |
| ISSN: | 0016-0032 |
| DOI: | 10.1016/j.jfranklin.2017.05.037 |
| Popis: | This paper concerns the simultaneous fault detection and control (SFDC) problem for a class of nonlinear stochastic switched systems with time-varying state delay and parameter uncertainties. The switching signal of detector/controller unit (DCU) is assumed to be with switching delay, which results in the asynchronous switching between the subsystems and DCU. By constructing a switching strategy depending on the state and switching delays, new sufficient conditions expressed by a set of linear matrix inequalities (LMIs) is derived to design DCU gains. This problem is formulated as an H ∞ optimization problem and both mean square exponential stability and fault detection of augmented system are considered. A numerical example is finally exploited to verify the effectiveness and potential of the achieved scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect