Worst case power generating capabilities of nonlinear systems

Date

2002

Authors

Dower, Peter M
James, Matthew

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

In this paper we analyze the worst case power generating capabilities of a class of nonlinear systems which exhibit a power gain property. This class of systems includes systems which exhibit persistent excitation in the absence of inputs. Examples include limit cycle systems and chaotic systems. In order to capture the power generating capability of a nonlinear system, we define a worst case average cost per unit time performance index. This performance index, called the available power, is in effect the most power that can be generated by a system via the application of any input. The main result of the paper is that the input which achieves this worst case performance is typically a persistent input whose power is given explicitly by a function of the derivative of the available power with respect to the power gain of the system. A natural corollary of this result is that the available power may be recast as an optimization over power inputs.

Description

Keywords

Keywords: Chaos theory; Dynamic programming; Electric power generation; Optimization; Average cost per unit time; Limit cycles; Power gain; Worst case inputs; Nonlinear systems Average cost per unit time; Dynamic programming; Limit cycles; Nonlinear systems; Optimization; Power gain; Power generation; Worst case inputs

Citation

Source

Mathematics of Control, Signals and Systems

Type

Journal article

Book Title

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License Rights

Restricted until

2037-12-31