Title :
Stability of Solutions for Stochastic Impulsive Systems via Comparison Approach
Author_Institution :
Dept. of Inf. & Comput. Sci., Hunan Univ. of Technol., Zhuzhou
Abstract :
This note studies stability problem of solutions for stochastic impulsive systems. By employing Lyapunov-like function method and It´s formula, comparison principles of existence and uniqueness and stability of solutions for stochastic impulsive systems are established. Based on these comparison principles, the stability properties of stochastic impulsive systems are derived by the corresponding stability properties of a deterministic impulsive system. As the application, the stability results are used to design impulsive control for the stabilization of unstable stochastic systems. Finally, one example is given to illustrate the obtained results.
Keywords :
Lyapunov methods; control system synthesis; stability; stochastic systems; Lyapunov-like function method; deterministic impulsive system; impulsive control design; stability; stochastic impulsive system; Asymptotic stability; Biological neural networks; Biological system modeling; Biological systems; Control systems; Displays; Rhythm; Stochastic resonance; Stochastic systems; Working environment noise; Comparison principle; ItÔ´s formula; impulsive control; stability; stochastic impulsive system (SIS);
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2008.930185