Abstract
The authors have studied the problem of developing an adaptive control law that can force the output of a linear time-varying plant to track the output of a linear time-varying reference model and at the same time guarantee the internal stability of the closed-loop plant. Use is made of the authors' recently proposed (1987) model reference controller structure, which guarantees stability and zero tracking error for a general class of linear time-varying plants with known parameters. An adaptive law is designed to estimate the controller parameters. It is shown that the assumption of slow parameter variations in the adaptive case can be relaxed if some information about the frequency or the form of the fast-varying parameters is available a priori. Such information can be incorporated in the adaptive law so that stability and tracking performance is considerably improved for a wide class of linear time-varying plants which includes plants with fast-varying parameters.
Original language | English (US) |
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Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
Publisher | IEEE |
Pages | 354-359 |
Number of pages | 6 |
State | Published - 1987 |
Externally published | Yes |
ASJC Scopus subject areas
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality