{"id":{"repo_id":"soton","oai_identifier":"oai:eprints.soton.ac.uk:73433"},"canonical_url":"https://search.dev.ndltd.org/etd/soton/oai:eprints.soton.ac.uk:73433","repository":{"repo_id":"soton","name":"University of Southampton","base_url":"https://eprints.soton.ac.uk/cgi/oai2"},"display":{"title":"Multi agent control for space based interferometry","abstract":"Agent systems have been accepted and used advantageously by computer scientists since<br/>their inception, but such systems have not been used so readily within the realms of control<br/>engineering or robotics. The work contained within this thesis investigates separated<br/>spacecraft interferometry in the context of a multi-agent system, under the influence of libration<br/>point orbital dynamics. The main focus is on the development of key agent skills,<br/>including state estimation, guidance, control and decision methods to attain the desired<br/>system output; within the consideration of decision methods, a comparison between centralized<br/>and distributed decisions is made. Whilst mainly focussing on the development<br/>of these skills, additional considerations pertinent to agent system development are also<br/>discussed.<br/><br/>A discrete time control method, integrating Kalman filtering with sliding mode control<br/>and using potential function guidance to achieve velocity tracking with six degrees of<br/>freedom, is developed for the purposes of controlling agent motion. Whilst developed for<br/>the purposes of spacecraft agent control, the presented methods are equally valid to any<br/>other vehicular agent system such as UAVs or AUVs if considering inter-agent regulation.<br/><br/>Centralized and distributed decision methods are developed to enable appropriate autonomous<br/>actions to be performed by the agent system. Primarily these actions include<br/>selective attainment and regulation of a non-natural orbits relative to a central agent to<br/>form an appropriate array configuration and instances of array reconfiguration to compensate<br/>for both failed agents and to maximize the mission duration.","abstract_html":"Agent systems have been accepted and used advantageously by computer scientists since&lt;br/&gt;their inception, but such systems have not been used so readily within the realms of control&lt;br/&gt;engineering or robotics. The work contained within this thesis investigates separated&lt;br/&gt;spacecraft interferometry in the context of a multi-agent system, under the influence of libration&lt;br/&gt;point orbital dynamics. The main focus is on the development of key agent skills,&lt;br/&gt;including state estimation, guidance, control and decision methods to attain the desired&lt;br/&gt;system output; within the consideration of decision methods, a comparison between centralized&lt;br/&gt;and distributed decisions is made. Whilst mainly focussing on the development&lt;br/&gt;of these skills, additional considerations pertinent to agent system development are also&lt;br/&gt;discussed.&lt;br/&gt;&lt;br/&gt;A discrete time control method, integrating Kalman filtering with sliding mode control&lt;br/&gt;and using potential function guidance to achieve velocity tracking with six degrees of&lt;br/&gt;freedom, is developed for the purposes of controlling agent motion. Whilst developed for&lt;br/&gt;the purposes of spacecraft agent control, the presented methods are equally valid to any&lt;br/&gt;other vehicular agent system such as UAVs or AUVs if considering inter-agent regulation.&lt;br/&gt;&lt;br/&gt;Centralized and distributed decision methods are developed to enable appropriate autonomous&lt;br/&gt;actions to be performed by the agent system. Primarily these actions include&lt;br/&gt;selective attainment and regulation of a non-natural orbits relative to a central agent to&lt;br/&gt;form an appropriate array configuration and instances of array reconfiguration to compensate&lt;br/&gt;for both failed agents and to maximize the mission duration.","abstract_has_math":false,"creators":["Lincoln, N.K."],"institution":"University of Southampton","degree_name":"Ph.D.","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Veres, Sandor"],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-08","date_published":"2009-08","updated_at":"2026-07-24T04:36:10Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Veres, Sandor"]},{"key":"dc:creator","label":"Author","values":["Lincoln, N.K."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2009-08"]},{"key":"dc:date.issued","label":"Date","values":["2009-08"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Astronautics Group (pre 2018 reorg)","School of Engineering Sciences"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Southampton"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://eprints.soton.ac.uk/73433/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Ph.D."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://eprints.soton.ac.uk/73433/1/NickLincolnThesis.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Agent systems have been accepted and used advantageously by computer scientists since<br/>their inception, but such systems have not been used so readily within the realms of control<br/>engineering or robotics. The work contained within this thesis investigates separated<br/>spacecraft interferometry in the context of a multi-agent system, under the influence of libration<br/>point orbital dynamics. The main focus is on the development of key agent skills,<br/>including state estimation, guidance, control and decision methods to attain the desired<br/>system output; within the consideration of decision methods, a comparison between centralized<br/>and distributed decisions is made. Whilst mainly focussing on the development<br/>of these skills, additional considerations pertinent to agent system development are also<br/>discussed.<br/><br/>A discrete time control method, integrating Kalman filtering with sliding mode control<br/>and using potential function guidance to achieve velocity tracking with six degrees of<br/>freedom, is developed for the purposes of controlling agent motion. Whilst developed for<br/>the purposes of spacecraft agent control, the presented methods are equally valid to any<br/>other vehicular agent system such as UAVs or AUVs if considering inter-agent regulation.<br/><br/>Centralized and distributed decision methods are developed to enable appropriate autonomous<br/>actions to be performed by the agent system. Primarily these actions include<br/>selective attainment and regulation of a non-natural orbits relative to a central agent to<br/>form an appropriate array configuration and instances of array reconfiguration to compensate<br/>for both failed agents and to maximize the mission duration."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Multi agent control for space based interferometry"]}]}],"canonical_facts":{"dc:contributor.advisor":["Veres, Sandor"],"dc:creator":["Lincoln, N.K."],"dc:date":["2009-08"],"dc:date.issued":["2009-08"],"dc:description.abstract":["Agent systems have been accepted and used advantageously by computer scientists since<br/>their inception, but such systems have not been used so readily within the realms of control<br/>engineering or robotics. The work contained within this thesis investigates separated<br/>spacecraft interferometry in the context of a multi-agent system, under the influence of libration<br/>point orbital dynamics. The main focus is on the development of key agent skills,<br/>including state estimation, guidance, control and decision methods to attain the desired<br/>system output; within the consideration of decision methods, a comparison between centralized<br/>and distributed decisions is made. Whilst mainly focussing on the development<br/>of these skills, additional considerations pertinent to agent system development are also<br/>discussed.<br/><br/>A discrete time control method, integrating Kalman filtering with sliding mode control<br/>and using potential function guidance to achieve velocity tracking with six degrees of<br/>freedom, is developed for the purposes of controlling agent motion. Whilst developed for<br/>the purposes of spacecraft agent control, the presented methods are equally valid to any<br/>other vehicular agent system such as UAVs or AUVs if considering inter-agent regulation.<br/><br/>Centralized and distributed decision methods are developed to enable appropriate autonomous<br/>actions to be performed by the agent system. Primarily these actions include<br/>selective attainment and regulation of a non-natural orbits relative to a central agent to<br/>form an appropriate array configuration and instances of array reconfiguration to compensate<br/>for both failed agents and to maximize the mission duration."],"dc:format":["text"],"dc:identifier.uri":["https://eprints.soton.ac.uk/73433/1/NickLincolnThesis.pdf"],"dc:publisher.department":["Astronautics Group (pre 2018 reorg)","School of Engineering Sciences"],"dc:publisher.institution":["University of Southampton"],"dc:relation.isreferencedby":["https://eprints.soton.ac.uk/73433/"],"dc:title":["Multi agent control for space based interferometry"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["Ph.D."]},"updated_at":"2026-07-24T04:36:10Z"}