Validating Controllers for Internal Stability Utilizing Closed-Loop Data
Date
2009
Authors
Dehghani, Arvin
Lecchini-Visintini, Andrea
Lanzon, Alexander
Anderson, Brian
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We introduce novel tests utilizing a limited amount of experimental and possibly noisy data obtained with an existing known stabilizing controller connected to an unknown plant for verifying that the introduction of a proposed new controller will stabilize the plant. The tests depend on the assumption that the unknown plant is stabilized by a known controller and that some knowledge of the closed-loop system, such as noisy frequency response data, is available and on the basis of that knowledge, the use of a new controller appears attractive. The desirability of doing this arises in iterative identification and control algorithms, multiple-model adaptive control, and multi-controller adaptive switching. The proposed tests can be used for SISO and/or MIMO linear time-invariant systems.
Description
Keywords
Keywords: Adaptive switching; Closed-loop; Internal stability; Iterative identification and control; Linear time invariant systems; Multiple model adaptive control; Multiple-model adaptive controls; Noisy data; Stabilizing controllers; Adaptive control systems; Alg Iterative identification and control; Multicontroller adaptive switching; Multiple model adaptive control; Robust control
Citation
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Source
IEEE Transactions on Automatic Control
Type
Journal article