Videolibrary
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
Video Library
Archive
Most viewed videos

Search
RSS
New in collection






International youth conference "Geometry & Control"
April 15, 2014 12:35, Moscow, Steklov Mathematical Institute of RAS
 


From Approximate Reachable Sets to Asymptotic Control Theory

Aleksey Fedorov, Alexander Ovseevich

Institute for Problems in Mechanics RAS, Moscow, Russia
Video records:
Flash Video 934.0 Mb
Flash Video 156.4 Mb
MP4 572.0 Mb
Supplementary materials:
Adobe PDF 75.4 Kb

Number of views:
This page:385
Video files:129
Materials:82

Aleksey Fedorov, Alexander Ovseevich



Abstract: The problem of time-optimal steering of an initial state of a dynamical system to a given manifold is typical for the optimal control theory. Optimal trajectory is to be found as the steepest descent in the direction of the gradient of the cost function. The level sets of the cost functions are boundaries of the reachable set of the system in respect to backward time. The direction of the gradient coincides with the normal to boundary of the reachable set.
$ $
Definition. The reachable set $\mathcal{D}(T)$ is the set of ends at time instant $T$ of all admissible trajectories of the system starting at the given manifold at zero time.
$ $
It is remarkable, that for a wide class of linear systems of the form
\begin{equation*} \dot{x}={A}x+{B}u, \quad |u|\leq1, \end{equation*}
where $u$ is a control, reachable set $\mathcal{D}(T)$ equals asymptotically as $T\to\infty$ to the set $T\Omega$, where $\Omega$ is a fixed convex body, (here given manifold is the origin). More than that, the support function ${H}_\Omega$, which defines $\Omega$ uniquely, has an explicit integral representation. Starting from this point, we can design a control using steepest descent in the normal direction to the boundary of approximate reachable sets $T\Omega$.
Analytically speaking this means that for a state vector $x$ we have to solve the following equation
\begin{equation*} x=T\frac{\partial {H}_\Omega}{\partial p}(p) \end{equation*}
with unknown time $T$ and momentum $p=p(x)$. The control we describe takes the form $u(x)=-{\rm sign}\langle{B,p(x)}\rangle$.
Following this strategy, we can make a damping of a non-resonant system of linear oscillators in quasi-optimal time. More precisely,
$ $
Theorem 1. Assume that system of oscillators is non-resonant. Let $T=T(x)$ be the motion time from the initial point $x$ to the equilibrium under our control, and $\tau=\tau(x)$ be the minimum time. Then, as the $x\to\infty$ we have the asymptotic equality
\begin{equation*} \tau(x)/T(x)=1+o(1). \end{equation*}

These general arguments to a great extent are applicable to the problem of damping of a closed string
\begin{equation*} \frac{\partial^2 f}{\partial t^2}=\frac{\partial^2 f}{\partial x^2}+u\delta, \quad |u|\leq1. \end{equation*}
Here, $x\in[0,2\pi]$ is the angle coordinate on a one-dimensional torus $\mathcal{T}$, $t$ is time, $\delta$ is the Dirac $\delta$-function. Particularly, we obtain the following result
$ $
Theorem 2. It is possible to damp the string by a bounded load applied to a fixed point in finite time, if at the initial state
$$ f\in L_\infty, \quad \frac{\partial f}{\partial x}\in L_\infty, \quad \frac{\partial f}{\partial t}\in L_\infty. $$


Supplementary materials: abstract.pdf (75.4 Kb)

Language: English

References
  1. A.K. Fedorov, A.I. Ovseevich, Asymptotic control theory for a system of linear oscillators, 2013, arXiv: 1308.6090
 
  Contact us:
 Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024