| dc.creator |
Dong, H |
|
| dc.creator |
Wang, Z |
|
| dc.creator |
Ding, SX |
|
| dc.creator |
Gao, H |
|
| dc.date |
2015-01-16T12:24:36Z |
|
| dc.date |
2014-12-01 |
|
| dc.date |
2015-01-16T12:24:36Z |
|
| dc.date |
2014 |
|
| dc.date.accessioned |
2022-05-25T14:53:37Z |
|
| dc.date.available |
2022-05-25T14:53:37Z |
|
| dc.identifier |
Automatica, 50:12, pp. 3182 - 3189, 2014 |
|
| dc.identifier |
0005-1098 |
|
| dc.identifier |
http://www.sciencedirect.com/science/article/pii/S0005109814004075 |
|
| dc.identifier |
http://bura.brunel.ac.uk/handle/2438/9770 |
|
| dc.identifier |
http://dx.doi.org/10.1016/j.automatica.2014.10.026 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/172681 |
|
| dc.description |
This paper is concerned with the finite-horizon estimation problem of randomly occurring faults for a class of nonlinear systems whose parameters are all time-varying. The faults are assumed to occur in a random way governed by two sets of Bernoulli distributed white sequences. The stochastic nonlinearities entering the system are described by statistical means that can cover several classes of well-studied nonlinearities. The aim of the problem is to estimate the random faults, over a finite horizon, such that the influence from the exogenous disturbances onto the estimation errors is attenuated at the given level quantified by an H∞-norm in the mean square sense. By using the completing squares method and stochastic analysis techniques, necessary and sufficient conditions are established for the existence of the desired finite-horizon H∞ fault estimator whose parameters are then obtained by solving coupled backward recursive Riccati difference equations (RDEs). A simulation example is utilized to illustrate the effectiveness of the proposed fault estimation method. |
|
| dc.language |
eng |
|
| dc.language |
en |
|
| dc.publisher |
Elsevier Ltd |
|
| dc.relation |
Automatica |
|
| dc.relation |
Automatica |
|
| dc.subject |
Fault estimation |
|
| dc.subject |
Nonlinear stochastic systems |
|
| dc.subject |
Randomly occurring faults |
|
| dc.subject |
Recursive |
|
| dc.subject |
Riccati difference equations |
|
| dc.subject |
Time-varying systems |
|
| dc.title |
Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems |
|
| dc.type |
Article |
|