Abstract

We address the problem of globally asymptotic stability for a class of stochastic nonlinear systems with time-varying delays. By the backstepping method and Lyapunov theory, we design a linear output feedback controller recursively based on the observable linearization for a class of stochastic nonlinear systems with time-varying delays to guarantee that the closed-loop system is globally asymptotically stable in probability. In particular, we extend the deterministic nonlinear system to stochastic nonlinear systems with time-varying delays. Finally, an example and its simulations are given to illustrate the theoretical results.

Highlights

  • In recent years, the stochastic nonlinear system has received much attention and has enjoyed a good development, which has been widely applied in many fields such as engineering and finance [1]

  • Since the backstepping method has been introduced in the nonlinear system, the theory of stochastic nonlinear systems has achieved a remarkable development

  • The other is that Deng and Krstic [7,8,9,10] used a quartic Lyapunov function to guarantee that the closed-loop system is globally asymptotically stable in probability

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Summary

Introduction

The stochastic nonlinear system has received much attention and has enjoyed a good development, which has been widely applied in many fields such as engineering and finance [1]. The other is that Deng and Krstic [7,8,9,10] used a quartic Lyapunov function to guarantee that the closed-loop system is globally asymptotically stable in probability Based on their works, Liu et al [11,12,13] employed the quartic Lyapunov function to design the output feedback control for stochastic nonlinear systems. We extend the results of the deterministic nonlinear systems in [21] to the stochastic nonlinear systems with time-varying delays by output feedback control and design a Lyapunov-Krasovskii functional to prove the globally asymptotic stability of the closed-system via the linear observer.

Preliminaries
The Output Feedback Model and Control Design
An Example
Conclusion
Full Text
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