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<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>International Journal of Industrial Electronics Control and Optimization</JournalTitle>
				<Issn>2645-3517</Issn>
				<Volume>9</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>03</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Controlling and Estimating the Speed of Shaking Table by Fusing Camera, Encoder and Accelerometer using ‎AUKF and Fuzzy Sliding Mode Controller</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>49</FirstPage>
			<LastPage>63</LastPage>
			<ELocationID EIdType="pii">9242</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ieco.2025.51344.1672</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Nima</FirstName>
					<LastName>Rajabi Namini</LastName>
<Affiliation>Faculty of Electrical Engineering and Computer, University of Birjand, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Ramezan</FirstName>
					<LastName>Havangi</LastName>
<Affiliation>Faculty of Electrical Engineering and Computer, University of Birjand, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Amir Hossein  ‎</FirstName>
					<LastName>Abolmasoumi</LastName>
<Affiliation>Electrical Engineering department, Arak University, Arak, Iran Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>03</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>An earthquake is a sudden and destructive natural disaster that often results in ‎unpredictable damage to human life and property. Investigating the effects of ‎earthquakes on buildings and enhancing the seismic performance of structures is a ‎crucial approach for mitigating severe damage during such events. One effective tool ‎in testing the resistance of structures against earthquakes is the use of shaking tables. ‎In this paper, the stabilization and control of earthquake simulator using a fuzzy ‎sliding mode controller (FSMC) and adaptive unscented Kalman filter (AUKF)and ‎adaptive extended Kalman filter (AEKF) is presented. These filters employ a recursive ‎technique to effectively adjust the noise covariance by utilizing an adaptation method ‎known as the steepest descent. In the proposed approach, the shaking table states are ‎estimated using an accelerometer, encoder, and camera. These estimated states are ‎then utilized by the AEKF/AUKF to stabilize and control the closed-loop system. A ‎fuzzy sliding mode controller is designed to track the reference input, and eliminate ‎external disturbances and noise. In the control of sliding mode, the occurrence of ‎chattering in the control input is unavoidable. To mitigate this undesired chattering ‎phenomenon, a fuzzy inference mechanism has been employed. The image processing ‎approach has been utilized to measure the displacement online using the camera. The ‎advantages of using the camera include not requiring direct contact with the table, as ‎well as offering a low price and good accuracy.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Earthquake Simulator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎ ‎ Multi-Sensor Data Fusion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Fuzzy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎ Sliding Mode Control ‎</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ieco.usb.ac.ir/article_9242_e3d02767d85a54774f7515540c009a1a.pdf</ArchiveCopySource>
</Article>
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