Abstract:
The present work is devoted to a time-optimal control problem for a singularly perturbed linear autonomous system with smooth geometric
constraints on the control and an unbounded target set\textup:
$$
\left\{
\begin{array}{ll}
\phantom{\varepsilon}\dot{x}= A_{11}x + A_{12}y + B_1 u, &
x\in \mathbb{R}^{n},\ y\in \mathbb{R}^{m},\ u\in\mathbb{R}^{r},\\[1ex]
\varepsilon\dot{y}=A_{21}x + A_{22}y + B_2 u,&
\|u\|\le 1,\\[1ex]
x(0)=x_0\not=0,\quad y(0)=y_0, & 0<\varepsilon\ll 1,\\[1ex]
x(T_\varepsilon)=0,\quad y(T_\varepsilon)\in \mathbb{R}^{m},\quad T_\varepsilon \longrightarrow \min.
\end{array}
\right.
$$
The uniqueness of the representation of the optimal control with a normalized defining vector in the limit problem is proved.
The solvability of the problem is established. The limit relations for the optimal time and the vector determining the optimal control are obtained.
An asymptotic analog of the implicit function theorem is proved and used to derive a complete asymptotics of the solution to the problem in powers
of the small parameter $\varepsilon$.
Keywords:optimal control, time-optimal control problem, asymptotic expansion, singularly perturbed problem, small parameter.