Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems
We develop a novel autonomous control synthesis strategy called Phase Space Navigator for the automatic synthesis of nonlinear control systems. The Phase Space Navigator generates global control laws by synthesizing flow shapes of dynamical systems and planning and navigating system trajector...
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Language: | en_US |
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2004
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Online Access: | http://hdl.handle.net/1721.1/5982 |
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author | Zhao, Feng |
author_facet | Zhao, Feng |
author_sort | Zhao, Feng |
collection | MIT |
description | We develop a novel autonomous control synthesis strategy called Phase Space Navigator for the automatic synthesis of nonlinear control systems. The Phase Space Navigator generates global control laws by synthesizing flow shapes of dynamical systems and planning and navigating system trajectories in the phase spaces. Parsing phase spaces into trajectory flow pipes provide a way to efficiently reason about the phase space structures and search for global control paths. The strategy is particularly suitable for synthesizing high-performance control systems that do not lend themselves to traditional design and analysis techniques. |
first_indexed | 2024-09-23T11:43:54Z |
id | mit-1721.1/5982 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T11:43:54Z |
publishDate | 2004 |
record_format | dspace |
spelling | mit-1721.1/59822019-04-12T08:28:21Z Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems Zhao, Feng automated control synthesis intelligent control nonlinearscontrol knowledge-based systems planning and simulation autonomousssystems dynamical systems knowledge representation numeric/symbolicsprocessing. We develop a novel autonomous control synthesis strategy called Phase Space Navigator for the automatic synthesis of nonlinear control systems. The Phase Space Navigator generates global control laws by synthesizing flow shapes of dynamical systems and planning and navigating system trajectories in the phase spaces. Parsing phase spaces into trajectory flow pipes provide a way to efficiently reason about the phase space structures and search for global control paths. The strategy is particularly suitable for synthesizing high-performance control systems that do not lend themselves to traditional design and analysis techniques. 2004-10-04T14:25:22Z 2004-10-04T14:25:22Z 1991-04-01 AIM-1286 http://hdl.handle.net/1721.1/5982 en_US AIM-1286 31 p. 4810612 bytes 3851493 bytes application/postscript application/pdf application/postscript application/pdf |
spellingShingle | automated control synthesis intelligent control nonlinearscontrol knowledge-based systems planning and simulation autonomousssystems dynamical systems knowledge representation numeric/symbolicsprocessing. Zhao, Feng Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems |
title | Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems |
title_full | Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems |
title_fullStr | Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems |
title_full_unstemmed | Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems |
title_short | Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems |
title_sort | phase space navigator towards automating control synthesis in phase spaces for nonlinear control systems |
topic | automated control synthesis intelligent control nonlinearscontrol knowledge-based systems planning and simulation autonomousssystems dynamical systems knowledge representation numeric/symbolicsprocessing. |
url | http://hdl.handle.net/1721.1/5982 |
work_keys_str_mv | AT zhaofeng phasespacenavigatortowardsautomatingcontrolsynthesisinphasespacesfornonlinearcontrolsystems |