Worst case power generating capabilities of nonlinear systems

dc.contributor.authorDower, Peter M
dc.contributor.authorJames, Matthew
dc.date.accessioned2015-12-13T23:40:15Z
dc.date.issued2002
dc.date.updated2015-12-12T09:28:33Z
dc.description.abstractIn 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.
dc.identifier.issn0932-4194
dc.identifier.urihttp://hdl.handle.net/1885/94381
dc.publisherSpringer
dc.sourceMathematics of Control, Signals and Systems
dc.subjectKeywords: 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
dc.titleWorst case power generating capabilities of nonlinear systems
dc.typeJournal article
local.bibliographicCitation.issue1
local.bibliographicCitation.lastpage41
local.bibliographicCitation.startpage13
local.contributor.affiliationDower, Peter M, University of Melbourne
local.contributor.affiliationJames, Matthew, College of Engineering and Computer Science, ANU
local.contributor.authoruidJames, Matthew, u9109947
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublicationMigratedxPub23959
local.identifier.citationvolume15
local.identifier.doi10.1007/s004980200001
local.identifier.scopusID2-s2.0-0242712799
local.type.statusPublished Version

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