Recursive least-squares algorithm revisited
IEE Proceedings D Control Theory and ApplicationsPublished 1 January 1981
Jean–Jacques Fuchs
Citations10
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
A modified form of the recursive least-squares algorithm is proposed. It is shown that this algorithm possesses interesting properties that are valid without any restriction on experimental conditions, or stability assumptions. It is thus especially well suited for adaptive control schemes.
Keywords
Computer ScienceEngineering
AutomaticaStochastic adaptive control using a modified least squares algorithm
121 Citations1982Kwai Sin, Graham C. Goodwin
It is shown that, with probability one, the algorithm will ensure that the system inputs and outputs are sample mean square bounded and the mean square output tracking error achieves its global minimum possible value for linear feedback control.