Fixed-weight controller for multiple systems

We demonstrate here a perhaps unexpected result: the ability of a single fixed-weight time-lagged recurrent network, properly trained, to act as a stabilizing controller for multiple (here 3) distinct and unrelated systems, without explicit knowledge of system identity. This capability, which may be...

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Bibliographic Details
Main Authors: Feldkamp, L.A., Puskorius, G.V.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
Automotive engineering
Control systems
Engines
Laboratories
Noise robustness
Robust control
Stability
Switches
Veins
Online Access:Request full text
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Summary:We demonstrate here a perhaps unexpected result: the ability of a single fixed-weight time-lagged recurrent network, properly trained, to act as a stabilizing controller for multiple (here 3) distinct and unrelated systems, without explicit knowledge of system identity. This capability, which may be regarded as a challenge to the usual understanding of what constitutes an adaptive system, seemed plausible to us on the basis of our earlier results on both multiple time-series prediction and robust controller training. We describe our training method, which has been enhanced toward enforcing stability of the closed-loop system and dealing with process noise, and provide some results.
DOI:10.1109/ICNN.1997.616120