Reduced-order modeling, stochastic singular perturbation and sampled-data control
Technical Report
·
OSTI ID:6300718
In the first year of the project three problems have been considered: reduced-order modeling of nonlinear singularly perturbed systems driven by wide-band noise; estimation and control of stochastic linear singularly perturbed systems, and sampled-data control of linear time-invariant singularly perturbed systems. The first problem extends the use of singular perturbation theory, as an order-reduction tool, to stochastic nonlinear systems driven by wide-band noise. Multirate sampled-data control will be used, eventually, to implement multimodel strategies of systems with slow and fast modes as periodic coordination strategies.
- Research Organization:
- Michigan State Univ., East Lansing (USA). Dept. of Electrical Engineering and Systems Science
- DOE Contract Number:
- AC01-80RA50425
- OSTI ID:
- 6300718
- Report Number(s):
- DOE/RA/50425-T2; MSU/ENGR-81/009; ON: DE85002368
- Country of Publication:
- United States
- Language:
- English
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