Maximizing visibility in nonconvex polygons:: Nonsmooth analysis and gradient algorithm design

被引:13
作者
Ganguli, Anurag
Cortes, Jorge
Bullo, Francesco
机构
[1] Univ Illinois, Coordinated Sci Lab, Urbana, IL 61801 USA
[2] Univ Calif Santa Cruz, Dept Appl Math & Stat, Santa Cruz, CA 95064 USA
[3] Univ Calif Santa Barbara, Dept Mech Engn, Santa Barbara, CA 93106 USA
关键词
geometric optimization; dynamical systems; robotics; nonsmooth analysis; stability theory;
D O I
10.1137/050621918
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a motion control algorithm for a planar mobile observer such as a mobile robot equipped with an omnidirectional camera. We propose a nonsmooth gradient algorithm for the problem of maximizing the area of the region visible to the observer in a nonself-intersecting nonconvex polygon. First, we show that the visible area is almost everywhere a locally Lipschitz function of the observer location. Second, we provide a novel version of the LaSalle invariance principle for discontinuous vector fields and Lyapunov functions with a finite number of discontinuities. Finally, we establish the asymptotic convergence properties of the nonsmooth gradient algorithm and illustrate numerically its performance.
引用
收藏
页码:1657 / 1679
页数:23
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