Stability and control of singularly perturbed systems. Second annual report
This report surveys the results obtained during the second year of the three-year project entitled, Multimodel Strategies for Stochastic Models, and supported by the US Department of Energy, Electric Energy Systems Division. The report is divided into four parts. Part One presents a new method for studying stability of singularly perturbed systems using quadratic-type Lyapunov functions. The method is less conservative than the previous methods reported in the literature. Several examples are included to demonstrate that. Part Two is a continuation of our effort to study sampled-data control of singularly perturbed systems (see Part Three of the first annual report). Here we study singularly perturbed difference equations resulting from discretizing continious-time singularly perturbed systems. Part Three presents an important development in linear-quadratic Gaussian estimation and control of singularly perturbed systems. Near-optimum estimators and regulators are obtained using a special transformation to decouple slow and fast dynamics. Part Four considers a class of nonlinear singularly perturbed systems driven by wide-band noise and derives a reduced-order diffusion model that represents the behavior of the slow variables.
- Research Organization:
- Michigan State Univ., East Lansing (USA). Dept. of Electrical Engineering and Systems Science
- DOE Contract Number:
- AC01-80RA50425
- OSTI ID:
- 6459247
- Report Number(s):
- DOE/RA/50425-T1; ON: DE85002369
- Resource Relation:
- Other Information: Portions are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
Similar Records
Reduced-order modeling, stochastic singular perturbation and sampled-data control
Model simplification and optimal control of stochastic singularly perturbed systems under exponentiated quadratic cost
Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
STOCHASTIC PROCESSES
MATHEMATICAL MODELS
STABILITY
CONTROL
GAUSSIAN PROCESSES
LEADING ABSTRACT
LYAPUNOV METHOD
PERTURBATION THEORY
US DOE
ABSTRACTS
DOCUMENT TYPES
NATIONAL ORGANIZATIONS
US ORGANIZATIONS
420400* - Engineering- Heat Transfer & Fluid Flow
990200 - Mathematics & Computers