{"id":{"repo_id":"unlv","oai_identifier":"oai:oasis.library.unlv.edu:rtds-2013"},"canonical_url":"https://search.dev.ndltd.org/etd/unlv/oai:oasis.library.unlv.edu:rtds-2013","repository":{"repo_id":"unlv","name":"University of Nevada - Las Vegas","base_url":"https://oasis.library.unlv.edu/do/oai/"},"display":{"title":"Feedback linearization and adaptive control of a nonlinear aeroelastic system","abstract":"In this thesis, it is exhibited that although, the aeroelastic system is not input-state feedback linearizable, a partial linearized representation of the system in dimension three can be obtained. Based on this partially linearized representation, a new inverse controller was derived and simulation results show that control of pitch angle and plunge displacement can be accomplished; Then, adaptive output feedback control law is examined. For the synthesis of the controller, it is assumed that only pitch angle and plunge displacement are measured. A canonical state variable representation of the system is derived for the reconstruction of the state variable. According to the new state variable form of the aeroelastic system, filters are designed and an estimate of states are constructed using a linear combination of the states of the filters. Based on a backstepping design technique, adaptive control laws for the control of pitch angle and plunge displacement are derived. Simulation results are presented to show the adaptive state regulation capability of the control system. Finally, reduced order filters are designed to obtain the unmeasured state variables and new adaptive control laws are obtained. In the close-loop system, the state vector is shown to converge asymptotically to zero.","abstract_html":"In this thesis, it is exhibited that although, the aeroelastic system is not input-state feedback linearizable, a partial linearized representation of the system in dimension three can be obtained. Based on this partially linearized representation, a new inverse controller was derived and simulation results show that control of pitch angle and plunge displacement can be accomplished; Then, adaptive output feedback control law is examined. For the synthesis of the controller, it is assumed that only pitch angle and plunge displacement are measured. A canonical state variable representation of the system is derived for the reconstruction of the state variable. According to the new state variable form of the aeroelastic system, filters are designed and an estimate of states are constructed using a linear combination of the states of the filters. Based on a backstepping design technique, adaptive control laws for the control of pitch angle and plunge displacement are derived. Simulation results are presented to show the adaptive state regulation capability of the control system. Finally, reduced order filters are designed to obtain the unmeasured state variables and new adaptive control laws are obtained. In the close-loop system, the state vector is shown to converge asymptotically to zero.","abstract_has_math":false,"creators":["Xing, WenHong"],"institution":"University of Nevada, Las Vegas","degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Sahjendra N. Singh"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999-01-01T08:00:00Z","date_published":"1999-01-01T08:00:00Z","updated_at":"2026-07-24T05:24:53Z","subjects":[],"languages":["English"],"rights":["IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://oasis.library.unlv.edu/rtds/1014"],"render_values":[{"text":"https://oasis.library.unlv.edu/rtds/1014","href":"https://oasis.library.unlv.edu/rtds/1014","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.25669/f817-qxsr","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sahjendra N. 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For the synthesis of the controller, it is assumed that only pitch angle and plunge displacement are measured. A canonical state variable representation of the system is derived for the reconstruction of the state variable. According to the new state variable form of the aeroelastic system, filters are designed and an estimate of states are constructed using a linear combination of the states of the filters. Based on a backstepping design technique, adaptive control laws for the control of pitch angle and plunge displacement are derived. Simulation results are presented to show the adaptive state regulation capability of the control system. Finally, reduced order filters are designed to obtain the unmeasured state variables and new adaptive control laws are obtained. In the close-loop system, the state vector is shown to converge asymptotically to zero."]},{"key":"dc:format","label":"Dc Format","values":["pdf"]},{"key":"dc:title","label":"Title","values":["Feedback linearization and adaptive control of a nonlinear aeroelastic system"]}]}],"canonical_facts":{"dc:contributor":["Sahjendra N. Singh"],"dc:creator":["Xing, WenHong"],"dc:description.abstract":["In this thesis, it is exhibited that although, the aeroelastic system is not input-state feedback linearizable, a partial linearized representation of the system in dimension three can be obtained. Based on this partially linearized representation, a new inverse controller was derived and simulation results show that control of pitch angle and plunge displacement can be accomplished; Then, adaptive output feedback control law is examined. For the synthesis of the controller, it is assumed that only pitch angle and plunge displacement are measured. A canonical state variable representation of the system is derived for the reconstruction of the state variable. According to the new state variable form of the aeroelastic system, filters are designed and an estimate of states are constructed using a linear combination of the states of the filters. Based on a backstepping design technique, adaptive control laws for the control of pitch angle and plunge displacement are derived. Simulation results are presented to show the adaptive state regulation capability of the control system. Finally, reduced order filters are designed to obtain the unmeasured state variables and new adaptive control laws are obtained. 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