Adaptive Control of a Class of Nonaffine Systems Using Neural Networks
A neural control synthesis method is considered for a class of nonaffine uncertain single-input-single-output (SISO) systems. The method eliminates a fixed-point assumption and does not assume boundedness on the time derivative of a control effectiveness term. One or the other of these assumptions e...
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| Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2007-07, Vol.18 (4), p.1149-1159 |
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| container_title | IEEE transaction on neural networks and learning systems |
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| creator | Bong-Jun Yang Calise, A.J. |
| description | A neural control synthesis method is considered for a class of nonaffine uncertain single-input-single-output (SISO) systems. The method eliminates a fixed-point assumption and does not assume boundedness on the time derivative of a control effectiveness term. One or the other of these assumptions exist in earlier papers on this subject. Using Lyapunov's direct method, it is shown that all the signals of the closed-loop system are uniformly ultimately bounded, and that the tracking error converges to an adjustable neighborhood of the origin. Simulation with a Van Der Pol equation with nonaffine control terms illustrates the approach. |
| doi_str_mv | 10.1109/TNN.2007.899253 |
| format | Article |
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Simulation with a Van Der Pol equation with nonaffine control terms illustrates the approach.</description><identifier>ISSN: 1045-9227</identifier><identifier>ISSN: 2162-237X</identifier><identifier>EISSN: 1941-0093</identifier><identifier>EISSN: 2162-2388</identifier><identifier>DOI: 10.1109/TNN.2007.899253</identifier><identifier>PMID: 17668667</identifier><identifier>CODEN: ITNNEP</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Adaptive control ; Algorithms ; Computer Simulation ; Control design ; Control system synthesis ; Control systems ; Decision Support Techniques ; Derivatives ; Feedback ; Feedback linearization ; Mathematical analysis ; Models, Theoretical ; Network synthesis ; Neural networks ; Neural Networks (Computer) ; Neurocontrollers ; nonaffine systems ; Nonlinear Dynamics ; Nonlinear equations ; Open loop systems ; Origins ; Synthesis ; Tracking errors ; Uncertainty</subject><ispartof>IEEE transaction on neural networks and learning systems, 2007-07, Vol.18 (4), p.1149-1159</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-4c272f06a99b98fda517e7120ea530f9adaa6ce82ef9649d95fda560ee1ce0313</citedby><cites>FETCH-LOGICAL-c343t-4c272f06a99b98fda517e7120ea530f9adaa6ce82ef9649d95fda560ee1ce0313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4267725$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27911,27912,54745</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4267725$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17668667$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bong-Jun Yang</creatorcontrib><creatorcontrib>Calise, A.J.</creatorcontrib><title>Adaptive Control of a Class of Nonaffine Systems Using Neural Networks</title><title>IEEE transaction on neural networks and learning systems</title><addtitle>TNN</addtitle><addtitle>IEEE Trans Neural Netw</addtitle><description>A neural control synthesis method is considered for a class of nonaffine uncertain single-input-single-output (SISO) systems. 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Simulation with a Van Der Pol equation with nonaffine control terms illustrates the approach.</description><subject>Adaptive control</subject><subject>Algorithms</subject><subject>Computer Simulation</subject><subject>Control design</subject><subject>Control system synthesis</subject><subject>Control systems</subject><subject>Decision Support Techniques</subject><subject>Derivatives</subject><subject>Feedback</subject><subject>Feedback linearization</subject><subject>Mathematical analysis</subject><subject>Models, Theoretical</subject><subject>Network synthesis</subject><subject>Neural networks</subject><subject>Neural Networks (Computer)</subject><subject>Neurocontrollers</subject><subject>nonaffine systems</subject><subject>Nonlinear Dynamics</subject><subject>Nonlinear equations</subject><subject>Open loop systems</subject><subject>Origins</subject><subject>Synthesis</subject><subject>Tracking errors</subject><subject>Uncertainty</subject><issn>1045-9227</issn><issn>2162-237X</issn><issn>1941-0093</issn><issn>2162-2388</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpdkM9LwzAUx4Mozl9nD4IUL546X9I0aY6jOBXGPOjOIWtfpNo1M2mV_fdmbCh4-j54n_fl8SHkksKYUlB3r_P5mAHIcaEUy7MDckIVpymAyg7jDDxPFWNyRE5DeAegPAdxTEZUClEIIU_IdFKbdd98YVK6rveuTZxNTFK2JoTtOHedsbbpMHnZhB5XIVmEpntL5jh408bov53_COfkyJo24MU-z8hiev9aPqaz54encjJLq4xnfcorJpkFYZRaqsLWJqcSJWWAJs_AKlMbIyosGFoluKpVvmUEINIKIaPZGbnd9a69-xww9HrVhArb1nTohqCLAoTIcigiefOPfHeD7-JzWlHGKJccInS3gyrvQvBo9do3K-M3moLeCtZRsN4K1jvB8eJ6XzssV1j_8XujEbjaAQ0i_q45E1LG-x_F_H3P</recordid><startdate>20070701</startdate><enddate>20070701</enddate><creator>Bong-Jun Yang</creator><creator>Calise, A.J.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| identifier | ISSN: 1045-9227 |
| ispartof | IEEE transaction on neural networks and learning systems, 2007-07, Vol.18 (4), p.1149-1159 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive control Algorithms Computer Simulation Control design Control system synthesis Control systems Decision Support Techniques Derivatives Feedback Feedback linearization Mathematical analysis Models, Theoretical Network synthesis Neural networks Neural Networks (Computer) Neurocontrollers nonaffine systems Nonlinear Dynamics Nonlinear equations Open loop systems Origins Synthesis Tracking errors Uncertainty |
| title | Adaptive Control of a Class of Nonaffine Systems Using Neural Networks |
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