DocumentCode :
3414504
Title :
A Non-Certainty Equivalence Approach to Decentralized Adaptive Control
Author :
Summers, Tyler H. ; Akella, Maruthi R.
Author_Institution :
Univ. of Texas at Austin, Austin
fYear :
2007
fDate :
16-18 April 2007
Firstpage :
1
Lastpage :
6
Abstract :
We approach the decentralized adaptive control problem in a non-certainty equivalence adaptive framework, motivated by the recently proposed immersion and invariance (I&I) methodology. In this paper, we consider continuous large-scale interconnected systems and show that it is theoretically possible to asymptotically track reference signals with zero error in a non-certainty equivalence framework. The controller has a decentralized information structure, in which it is assumed that the each subsystem controller has access to only its corresponding state and reference input. However, we assume implicit cooperation among the controllers by making subsystem objectives common knowledge. We conclude with numerical simulations comparing non-certainty equivalence and certainty equivalence approaches to the decentralized adaptive control problem.
Keywords :
adaptive control; decentralised control; interconnected systems; numerical analysis; continuous large-scale interconnected system; decentralized adaptive control; immersion-invariance methodology; noncertainty equivalence approach; numerical simulation; subsystem controller; Adaptive control; Communication system control; Control systems; Error correction; Interconnected systems; Large-scale systems; Numerical simulation; Programmable control; Robust control; Uncertainty; Adaptive control; decentralized control; interconnected systems; non-certainty equivalence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
1-4244-1159-9
Electronic_ISBN :
1-4244-1160-2
Type :
conf
DOI :
10.1109/SYSOSE.2007.4304296
Filename :
4304296
Link To Document :
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