Abstract

In this paper, a fuzzy adaptive full state constrained control approach is proposed for a class of stochastic switched systems subject to quantized input signals and actuator faults. The inherent discontinuous and hybrid characteristics of the concerned systems lead to a difficult task for designing a stable controller. Several fuzzy logic systems are utilized to approximate the unknown nonlinearities and the bound estimation approach is employed to deal with the stochastic switched disturbances. As a result, the negative effects caused by the discontinuous multiple uncertainties can be suppressed. Furthermore, several four-order Barrier Lyapunov Functions are introduced to guarantee that the constraints of the system states are not violated. It is proved that all the signals in the closed-loop system is semiglobally uniformly ultimately bounded. Numerical simulation results have been provided to illustrate the satisfactory performance of the proposed control algorithm.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.