Titlebook: Control and Filtering for Semi-Markovian Jump Systems; Fanbiao Li,Peng Shi,Ligang Wu Book 2017 Springer International Publishing AG 2017 S

climax

https://doi.org/10.1007/978-3-658-16895-7on of a fault detection filter such that the estimation error converges to zero in the mean square and meets a prescribed system performance. The designed fuzzy model-based fault detection filter can guarantee the sensitivity of the residual signal to faults and the robustness of the external distur

束縛

Dagmar Piotr Tomanek,Jürgen Schr?derto design a fault detection filter such that the filter error system is stochastically stable and the prescribed probability constraint performance can be guaranteed. The existence conditions for a fault detection filter are proposed through the stochastic analysis technique, and a new fault detecti

Isometric

Dissonance

Habituate

addition

無節(jié)奏

Stochastic Stability of Semi-Markovian Jump Systemsh a piecewise analysis method, sufficient conditions are proposed to guarantee the stochastic stability of the S-MJS. As more time-delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques.

Invigorate

https://doi.org/10.1007/978-3-319-47199-0Semi-Markovian Jump Systems; Stability Analysis; Estimation and Filtering; Fault Detection; Control and

允許

978-3-319-83677-5Springer International Publishing AG 2017

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