<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>22</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An adaptive impedance control algorithm; Application in exoskeleton robot</ArticleTitle>
<VernacularTitle>An adaptive impedance control algorithm; Application in exoskeleton robot</VernacularTitle>
			<FirstPage>519</FirstPage>
			<LastPage>529</LastPage>
			<ELocationID EIdType="pii">3664</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M. M.</FirstName>
					<LastName>Ataei</LastName>
<Affiliation>Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Salarieh</LastName>
<Affiliation>Department of Mechanical Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9567 Iran</Affiliation>

</Author>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Alasty</LastName>
<Affiliation>c.	Department of Mechanical Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9567 Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>11</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>Exoskeleton is a well-known example of an unconstrained robot for which the desired path is not predefined. Regarding these two effective features, a formulation for impedance control algorithm is presented and its prominence is demonstrated both mathematically and through simulation. Moreover it is essential to control this robot by an adaptive method because at least dynamic characteristics of the load are unknown. Unfortunately the existing methods do not address aforementioned traits or become unstable as inertia matrix becomes singular. Here an adaptive algorithm is generated based on the logic of Least Squares identification method rather than the Lyapunov stability criterion to tackle those limitations.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Adaptive Control</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">impedance control</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">modeling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">exoskeleton</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_3664_b67fb3360ae5597d85a005153451dd4e.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
