Path: utzoo!utgpu!news-server.csri.toronto.edu!bonnie.concordia.ca!nstn.ns.ca!news.cs.indiana.edu!spool.mu.edu!rex!wuarchive!zaphod.mps.ohio-state.edu!sdd.hp.com!hp-pcd!hpcvlx!brian From: brian@hpcvlx.cv.hp.com (Brian Phillips) Newsgroups: comp.theory.dynamic-sys Subject: Pendulum Help Message-ID: <110770003@hpcvlx.cv.hp.com> Date: 31 May 91 18:56:18 GMT Organization: Hewlett-Packard Co., Corvallis, OR, USA Lines: 34 An old classical mechanics problem... I've been toying with a mathematical simulation of an inverted pendulum ( a rigid bar rotating in the plane about a pivot subjected to an up-down forcing function ). The forcing function is sinusoidal and the pendulum is initially ajar at some small angle from top-dead-center (unstable equilibrium). As I understand it, such a system can maintain itself without rotation if the correct conditions are established. Is this correct? Can such a pendulum remain upright? Does it periodically rotate to a new semi-stable angle? What constitutes stability in such a system? While I am interested in examining system behavior with regard to its transition from stability to (chaos?) instability, I am most curious about the parameter domains for values creating these transitions. ie. If I vary the length of the pendulum slightly and a previously stable pendulum simulation becomes otherwise, what will I see if I refine such changes? What does a region about a stable choice that includes unstable selections look like? Are the boundaries well-behaved or are they more interesting? What if I look at the frequency of the forcing function much the same way? I'm not particularly interested in a purely mathematical exercise where the results are merely artifacts derived from the simulation method and its accuracy. Any guidance would be appreciated. Brian Phillips brian@hpcvxbjp.cv.hp.com