Ellipsoidal Toolbox
Alex A. Kurzhanskiy and Pravin Varaiya
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2006-46
May 6, 2006
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Ellipsoidal Toolbox (ET) implements in MATLAB the ellipsoidal calculus and its application to the reachability analysis of continuous- and discrete-time, possibly time-varying linear systems, and linear systems with disturbances, for which ET calculates both open-loop and close-loop reach sets. The ellipsoidal calculus provides the following benefits:
- The complexity of the ellipsoidal representation is quadratic in the dimension of the state space, and linear in the number of time steps.
- It is possible to exactly represent the reach set of linear system through both external and internal ellipsoids.
- It is possible to single out individual external and internal approximating ellipsoids that are optimal to some given criterion (e.g. trace, volume, diameter), or combination of such criteria.
- It gives simple analytical expressions for the control that steers the state to a desired target.
BibTeX citation:
@techreport{Kurzhanskiy:EECS-2006-46,
Author= {Kurzhanskiy, Alex A. and Varaiya, Pravin},
Title= {Ellipsoidal Toolbox},
Year= {2006},
Month= {May},
Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-46.html},
Number= {UCB/EECS-2006-46},
Abstract= {Ellipsoidal Toolbox (ET) implements in MATLAB the ellipsoidal calculus and its application
to the reachability analysis of continuous- and discrete-time, possibly time-varying linear
systems, and linear systems with disturbances, for which ET calculates both open-loop and
close-loop reach sets. The ellipsoidal calculus provides the following benefits:
<UL>
<LI>The complexity of the ellipsoidal representation is quadratic in the dimension of the state
space, and linear in the number of time steps.
<LI>It is possible to exactly represent the reach set of linear system through both external and
internal ellipsoids.
<LI>It is possible to single out individual external and internal approximating ellipsoids that are
optimal to some given criterion (e.g. trace, volume, diameter), or combination of such criteria.
<LI>It gives simple analytical expressions for the control that steers the state to a desired target.
</UL>},
}
EndNote citation:
%0 Report %A Kurzhanskiy, Alex A. %A Varaiya, Pravin %T Ellipsoidal Toolbox %I EECS Department, University of California, Berkeley %D 2006 %8 May 6 %@ UCB/EECS-2006-46 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-46.html %F Kurzhanskiy:EECS-2006-46