RULE-BASED INCREMENTAL CONTROL AND NONHOLONOMIC SYSTEMS : TIME-VARYING STATE FEEDBACK VERSUS MOTION PLANNING

This paper describes two different approaches for controlling nonlinear systems, with focus on car-like robot parking maneuvers. The two approaches are: a time-varying state feedback stabilization and a motion planner.

[1]  S. Shankar Sastry,et al.  Stabilization of trajectories for systems with nonholonomic constraints , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[2]  D. Luzeaux Process control and machine learning: rule-based incremental control , 1994, IEEE Trans. Autom. Control..

[3]  Jean-Paul Laumond,et al.  A motion planner for car-like robots based on a mixed global/local approach , 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.

[4]  S. Shankar Sastry,et al.  Steering car-like systems with trailers using sinusoids , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[5]  V. Cheng A direct way to stabilize continuous-time and discrete-time linear time-varying systems , 1979 .

[6]  S. Sastry,et al.  Nonholonomic motion planning: steering using sinusoids , 1993, IEEE Trans. Autom. Control..