Analysis of the error in an iterative algorithm for solution of the regulator equations for nonlinear parabolic control system
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Date
2016
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Publisher
Faculty of Science, University of Kelaniya, Sri Lanka
Abstract
This work is based on the classical geometric method, which in turn is based on the
classical geometric regulation theory, which involves asymptotic tracking and
disturbance rejection for nonlinear parabolic control systems. The classical
geometric method is based on the solution of a coupled pair of operator equations
referred to as regulator equations. In general, solving the regulator equations or even
obtaining accurate numerical solutions for the simple control problem is not an easy
task. In fact, most of the time the classical geometric method gives the solvability
conditions of the regulator problem, rather than the actual solution.
We present a methodology for tracking and disturbance rejection, which is more
general than the one based on the regulator equations, and can be applied to general
smooth signals. This methodology is based on an iterative method known as the -
iterative method for obtaining approximate solution for the regulator problems for a
class of infinite dimensional linear control systems. This work describes the error
analysis for this iterative method regarding more general references and disturbances.
In this work we consider bounded input and output operators. In particular, we obtain
estimates showing geometric convergence of the error, controlled by the
parameter . In addition, we demonstrate our estimates on a variety of control
problems in multi-physics applications by numerically solving the -iterative
algorithm by using the finite element solver “COMSOL”.
Description
Keywords
Geometric method, Regulator equations, Control systems
Citation
Hansameenu, W.P.T., Aulisa, E. and Gilliam, D. 2016. Analysis of the error in an iterative algorithm for solution of the regulator equations for nonlinear parabolic control system. In Proceedings of the International Research Symposium on Pure and Applied Sciences (IRSPAS 2016), Faculty of Science, University of Kelaniya, Sri Lanka. p 54.