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...

Full description

Bibliographic Details
Main Author: Zhao, Feng
Language:en_US
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/5982
_version_ 1811081257997565952
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