Title :
Using semiconvex duality and max-plus analysis to obtain a new fundamental solution for the differential riccati equation
Author :
McEneaney, William M.
Author_Institution :
Univ. of California San Diego, La Jolla
Abstract :
Semiconvex duality and max-plus analysis are used to obtain a surprising new fundamental solution for the ubiquitous matrix differential Riccati equation (DRE). We consider the DRE as a finite-dimensional solution to a deterministic linear/quadratic control problem. Taking the semiconvex dual of the associated semigroup, one obtains the solution operator as a max-plus integral operator with quadratic kernel. The kernel is equivalently represented as a matrix. Using the semigroup property of the dual operator, one obtains a matrix operation whereby the kernel matrix propagates as a semigroup. The propagation forward is through some simple matrix operations. This time-indexed family of matrices forms a new fundamental solution for the DRE. Solution for any initial condition is obtained by a few matrix operations on the fundamental solution and the initial condition. This fundamental solution has a particularly nice control interpretation.
Keywords :
Riccati equations; differential equations; duality (mathematics); linear quadratic control; matrix algebra; deterministic linear quadratic control; max-plus integral operator; quadratic kernel; semiconvex duality; ubiquitous matrix differential Riccati equation; Differential equations; Integral equations; Kernel; Linear systems; Matrix decomposition; Pervasive computing; Riccati equations; Symmetric matrices; USA Councils; Vectors;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434504