Decentralized control of uncertain systems via sensitivity models
Conference
·
OSTI ID:10159223
- Oak Ridge National Lab., TN (United States)
- Ohio State Univ., Columbus, OH (United States). Dept. of Electrical Engineering
In this paper, we present a decentralized strategy for optimal control of interconnected systems exhibiting parametric uncertainty. First, we demonstrate that sensitivity models for linear interconnected systems can be generated at each subsystem using only locally available information. Second, we present an optimal control law that incorporates sensitivity functions in the feedback path. The control scheme is completely decentralized and is proposed as a means of making the closed loop system less sensitive to parameter deviations. Finally, we give an example of an interconnected system and show how this control strategy is implemented.
- Research Organization:
- Oak Ridge National Lab., TN (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 10159223
- Report Number(s):
- CONF-930781--1; ON: DE93012963
- Country of Publication:
- United States
- Language:
- English
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