Abstract
The issues of mean-square finite-time stability analysis and state estimator design for stochastic switched delayed neural networks are investigated in this paper. A stability criterion with average dwell time constraint is proposed, such that the mean-square value of state is not larger than a prescribed threshold during a given time interval. Then, a state estimator, which ensures mean-square finite-time stability of an augmented system, is designed. A numerical example is provided to demonstrate the effectiveness of the method.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
