Unfalsified adaptive control for the infrequently switching plant based on fading memory data

The problem of how to stabilize infrequently switching plant is investigated with unfalsified adaptive control approach. A fading memory data cost function is constructed to weaken the effects of timeworn data and its cost-detectablity is proved. A novel controller switching algorithm based on the i...

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Bibliographic Details
Main Authors: Huiyu Jin, Safonov, Michael G.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Algorithm
Algorithm design and analysis
Algorithms
Controllers
Cost function
Cost-detectability
Fading channels
Fading memory data
Linear systems
Power plants
Stability
Switches
Switching
Switching plant
Unfalsified adaptive control
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Summary:The problem of how to stabilize infrequently switching plant is investigated with unfalsified adaptive control approach. A fading memory data cost function is constructed to weaken the effects of timeworn data and its cost-detectablity is proved. A novel controller switching algorithm based on the ideas of self-falsification, stability overlay and resetting is designed. After each plant switching, the algorithm can detect the instability and switch to a stabilizing controller in finite switches and keeps the controller online until next plant switching. For the plant switching infrequently enough, theoretical analysis and simulations illustrate the algorithm can guarantee the cost function of the active controller uniformly bounded.
ISSN:1948-9447
DOI:10.1109/CCDC.2016.7532254