Title :
Controlling invariant density: an l∞ solution to the inverse Frobenius-Perron problem
Author_Institution :
Dept. of Math., US Naval Acad., Annapolis, MD, USA
Abstract :
In a previous paper we gave a new formalism to solve the inverse Frobenius-Perron problem (IFPP), to produce a dynamical system, uniformly nearby a given dynamical system, but with a drastically different and desirable invariant density. Our previous algorithm reduced the problem of producing the dynamical system G with desirable statistics β(x), into a constrained optimization problem, which we solved in l2. However, we pointed out that if this l2 solution does not correspond to a useful solution, one could not conclude nonexistence. The l∞ solution to the same optimization problem allows for a sharp existence-nonexistence theorem. In this paper, we present for the first time an l∞ algorithm which produces solutions to our IFPP, and conclude our nonexistence theorem which is pertinent to this solution. Then we discuss applications in control of chaos, both by open-loop control strategies for maps, and we discuss future applications to feedback control of flows
Keywords :
chaos; constraint theory; feedback; inverse problems; nonlinear control systems; chaos control; constrained optimization; feedback control; invariant density; inverse Frobenius-Perron problem; open-loop control strategies; sharp existence-nonexistence theorem; Chaos; Constraint optimization; Control theory; Density measurement; Feedback control; Least squares approximation; Mathematics; Nonlinear dynamical systems; Open loop systems; Statistics;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856271