Task-Induced Symmetry and Reduction With Application to Needle Steering
Lie group symmetry in a mechanical system can lead to a dimensional reduction in its dynamical equations. Typically, the symmetries that one exploits are intrinsic to the mechanical system at hand, e.g., invariance of the system's Lagrangian to some group of motions. In the present work we cons...
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Veröffentlicht in: | IEEE transactions on automatic control 2010-03, Vol.55 (3), p.664-673 |
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description | Lie group symmetry in a mechanical system can lead to a dimensional reduction in its dynamical equations. Typically, the symmetries that one exploits are intrinsic to the mechanical system at hand, e.g., invariance of the system's Lagrangian to some group of motions. In the present work we consider symmetries that arise from an extrinsic control task, rather than the intrinsic structure of the configuration space, constraints, or system dynamics. We illustrate this technique with several examples. In the examples, the reduction enables us to design essentially global feedback controllers on the reduced systems. We also demonstrate how the proposed technique dovetails with Lagrangian reduction. We apply task-induced symmetry and reduction to a recently developed 6 DOF kinematic model of steerable bevel-tip needles. The resulting controllers cause the needle tip to track a subspace of its configuration space. We envision that the methodology presented in this paper will form the basis for a new planning and control framework for needle steering. |
doi_str_mv | 10.1109/TAC.2009.2039241 |
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Typically, the symmetries that one exploits are intrinsic to the mechanical system at hand, e.g., invariance of the system's Lagrangian to some group of motions. In the present work we consider symmetries that arise from an extrinsic control task, rather than the intrinsic structure of the configuration space, constraints, or system dynamics. We illustrate this technique with several examples. In the examples, the reduction enables us to design essentially global feedback controllers on the reduced systems. We also demonstrate how the proposed technique dovetails with Lagrangian reduction. We apply task-induced symmetry and reduction to a recently developed 6 DOF kinematic model of steerable bevel-tip needles. The resulting controllers cause the needle tip to track a subspace of its configuration space. We envision that the methodology presented in this paper will form the basis for a new planning and control framework for needle steering.</description><identifier>ISSN: 0018-9286</identifier><identifier>EISSN: 1558-2523</identifier><identifier>DOI: 10.1109/TAC.2009.2039241</identifier><identifier>PMID: 20485454</identifier><identifier>CODEN: IETAA9</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Adaptive control ; Applied sciences ; Computer science; control theory; systems ; Control system synthesis ; Control systems ; Control theory. Systems ; Controllers ; Dynamical systems ; Equations ; Exact sciences and technology ; Feedback ; Intelligent robots ; Kinematics ; Lagrangian functions ; Lie group symmetry ; Mathematical analysis ; Mechanical engineering ; Mechanical systems ; needle steering ; Needles ; nonholonomic systems ; Optical fiber theory ; Reduction ; Symmetry</subject><ispartof>IEEE transactions on automatic control, 2010-03, Vol.55 (3), p.664-673</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Typically, the symmetries that one exploits are intrinsic to the mechanical system at hand, e.g., invariance of the system's Lagrangian to some group of motions. In the present work we consider symmetries that arise from an extrinsic control task, rather than the intrinsic structure of the configuration space, constraints, or system dynamics. We illustrate this technique with several examples. In the examples, the reduction enables us to design essentially global feedback controllers on the reduced systems. We also demonstrate how the proposed technique dovetails with Lagrangian reduction. We apply task-induced symmetry and reduction to a recently developed 6 DOF kinematic model of steerable bevel-tip needles. The resulting controllers cause the needle tip to track a subspace of its configuration space. We envision that the methodology presented in this paper will form the basis for a new planning and control framework for needle steering.</description><subject>Adaptive control</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control system synthesis</subject><subject>Control systems</subject><subject>Control theory. Systems</subject><subject>Controllers</subject><subject>Dynamical systems</subject><subject>Equations</subject><subject>Exact sciences and technology</subject><subject>Feedback</subject><subject>Intelligent robots</subject><subject>Kinematics</subject><subject>Lagrangian functions</subject><subject>Lie group symmetry</subject><subject>Mathematical analysis</subject><subject>Mechanical engineering</subject><subject>Mechanical systems</subject><subject>needle steering</subject><subject>Needles</subject><subject>nonholonomic systems</subject><subject>Optical fiber theory</subject><subject>Reduction</subject><subject>Symmetry</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kctrFEEQxhtRzBq9C4IMBNHLxOpHzfRchGXRJBAUzILHpqenJuk4j7V7JrD_vR13sz4OXqqpql99VPXH2EsOp5xD9X69XJ0KgCoFWQnFH7EFR9S5QCEfswUA13kldHHEnsV4m9JCKf6UHQlQGhWqBTtb2_g9vxia2VGTXW37nqawzezQZF8pFSc_Dtk3P91ky82m887-Kkxj9pmo6Si7moiCH66fsyet7SK92L_HbP3p43p1nl9-ObtYLS9zh1BMOQpXSOlIF7p2TVla0hWA5C22aTkLrq6rQmDJFdSAEklpwhqorlFbWcpj9mEnu5nrnhpHwxRsZzbB9zZszWi9-bsz-BtzPd4ZoUsuJU8Cb_cCYfwxU5xM76OjrrMDjXM0JcpSFJIXiXz3X5JriapMYJXQk3_Q23EOQ_oHw0GkYwRHlSjYUS6MMQZqD2tzMPd2mmSnubfT7O1MI6__PPcw8OBfAt7sARud7dpgB-fjb04kCguduFc7zhPRoY0KELiSPwFGCK8d</recordid><startdate>20100301</startdate><enddate>20100301</enddate><creator>Kallem, V.</creator><creator>Dong Eui Chang</creator><creator>Cowan, N.J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Systems</topic><topic>Controllers</topic><topic>Dynamical systems</topic><topic>Equations</topic><topic>Exact sciences and technology</topic><topic>Feedback</topic><topic>Intelligent robots</topic><topic>Kinematics</topic><topic>Lagrangian functions</topic><topic>Lie group symmetry</topic><topic>Mathematical analysis</topic><topic>Mechanical engineering</topic><topic>Mechanical systems</topic><topic>needle steering</topic><topic>Needles</topic><topic>nonholonomic systems</topic><topic>Optical fiber theory</topic><topic>Reduction</topic><topic>Symmetry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kallem, V.</creatorcontrib><creatorcontrib>Dong Eui Chang</creatorcontrib><creatorcontrib>Cowan, N.J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>IEEE transactions on automatic control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kallem, V.</au><au>Dong Eui Chang</au><au>Cowan, N.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Task-Induced Symmetry and Reduction With Application to Needle Steering</atitle><jtitle>IEEE transactions on automatic control</jtitle><stitle>TAC</stitle><addtitle>IEEE Trans Automat Contr</addtitle><date>2010-03-01</date><risdate>2010</risdate><volume>55</volume><issue>3</issue><spage>664</spage><epage>673</epage><pages>664-673</pages><issn>0018-9286</issn><eissn>1558-2523</eissn><coden>IETAA9</coden><abstract>Lie group symmetry in a mechanical system can lead to a dimensional reduction in its dynamical equations. Typically, the symmetries that one exploits are intrinsic to the mechanical system at hand, e.g., invariance of the system's Lagrangian to some group of motions. In the present work we consider symmetries that arise from an extrinsic control task, rather than the intrinsic structure of the configuration space, constraints, or system dynamics. We illustrate this technique with several examples. In the examples, the reduction enables us to design essentially global feedback controllers on the reduced systems. We also demonstrate how the proposed technique dovetails with Lagrangian reduction. We apply task-induced symmetry and reduction to a recently developed 6 DOF kinematic model of steerable bevel-tip needles. The resulting controllers cause the needle tip to track a subspace of its configuration space. We envision that the methodology presented in this paper will form the basis for a new planning and control framework for needle steering.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>20485454</pmid><doi>10.1109/TAC.2009.2039241</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive control Applied sciences Computer science control theory systems Control system synthesis Control systems Control theory. Systems Controllers Dynamical systems Equations Exact sciences and technology Feedback Intelligent robots Kinematics Lagrangian functions Lie group symmetry Mathematical analysis Mechanical engineering Mechanical systems needle steering Needles nonholonomic systems Optical fiber theory Reduction Symmetry |
title | Task-Induced Symmetry and Reduction With Application to Needle Steering |
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