We consider $\dot {\textrm {X}}(\textrm {t})=\textrm {X(t)}^{2}+\textrm {U}(\textrm {t}-\textrm {D}(\textrm {t}))$ , where D(t) is a long time-varying delay. If D(t) = 0, $\textrm {U(t)}=-\textrm {X(t)}^{2}-\textrm {cX(t)},\,\,\textrm {c}>0$ is a… Click to show full abstract
We consider $\dot {\textrm {X}}(\textrm {t})=\textrm {X(t)}^{2}+\textrm {U}(\textrm {t}-\textrm {D}(\textrm {t}))$ , where D(t) is a long time-varying delay. If D(t) = 0, $\textrm {U(t)}=-\textrm {X(t)}^{2}-\textrm {cX(t)},\,\,\textrm {c}>0$ is a simply control, but it just delays finite time escape for this system. We design a predictor control and prove that the attraction region is $\textrm {X}(0) + \sup _{\theta \in [\varphi (0),\,0]} \int _{\varphi (0)}^{\theta } {\frac {\textrm {U}(\theta)}{\varphi ^{\prime }(\varphi ^{-1}(\theta))}\textrm {d}\theta } < \frac {1}{\sigma (0)}$ , with $\varphi (\theta)=\theta -\textrm {D}(\theta)$ , and $\sigma (\theta)=\varphi ^{-1}(\theta)$ . Further, the predictor control locally exponentially stabilizes this system.
