New Results on Finite-time Stabilization for Stochastic Systems with Time-varying Delay
Autor: | Longjiang Zhao, Wenhai Qi, Lihua Zhang, Yonggui Kao, Xianwen Gao |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
business.industry Computer science Linear matrix inequality Stability (learning theory) Robotics 02 engineering and technology Mechatronics Computer Science Applications 020901 industrial engineering & automation Control and Systems Engineering Control theory Full state feedback 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Finite time business |
Zdroj: | International Journal of Control, Automation and Systems. 16:649-658 |
ISSN: | 2005-4092 1598-6446 |
DOI: | 10.1007/s12555-017-0020-7 |
Popis: | The paper deals with the problem of finite-time stabilization for stochastic systems with time-varying delay by defining a new criterion for finite-time stability. Firstly, by use of more appropriate Lyapunov-Krasovskii functional (LKF), the difficulties of finite-time stability confronted in system analysis and synthesis can be overcome. Then, a state feedback controller is constructed to guarantee the closed-loop system finite-time stable. New conditions for finite-time stability analysis as well as controller synthesis are established in terms of linear matrix inequality (LMI). Finally, two practical examples demonstrate the validity of the main results. |
Databáze: | OpenAIRE |
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