Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6953233 | Journal of the Franklin Institute | 2017 | 19 Pages |
Abstract
This work addresses the asynchronous output feedback control for time-varying Markovian jump systems. The parameter uncertainties enter the system in random ways according to a determined mode-dependent Bernoulli distributed white sequence. The non-synchronization phenomenon between the system modes and controller modes is modeled as a hidden Markov model. By means of intensive stochastic analysis and recursive matrix inequality techniques, sufficient conditions are attained to ensure the finite-time stochastic boundedness of the closed-loop system with a satisfied Hâ disturbance rejection level. Moreover, an iterative algorithm is established for designing asynchronous output feedback controller. Finally, simulation results are given to illustrate the proposed design scheme.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jun Song, Yugang Niu, Yuanyuan Zou,