Conference proceeding
Control of Stochastic Linear Uncertain Systems by Multiple Objective Optimization
Proceedings. The First IEEE Regional Conference on Aerospace Control Systems, pp 667-671
1993
Abstract
This paper applies a new approach to the classical adaptive control problem. The approach is based on the inherent conflict between control and identification as they are competing for the only available resource, namely the input to the plant. The conflicting objective, namely, tracking vs. identification is most naturally posed and partially solved in the domain of Multiple Objective Optimization Theory. The control objective here is minimization of a quadratic criterion. The identification criterion is maximization of the Fisher information matrix. The Multiple Objective criterion is the simultaneous minimization of the quadratic criterion and maximization of the information matrix.
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2 citations in Scopus
Details
- Title
- Control of Stochastic Linear Uncertain Systems by Multiple Objective Optimization
- Creators
- I Rusnak - Drexel UniversityA GuezI BarKana
- Publication Details
- Proceedings. The First IEEE Regional Conference on Aerospace Control Systems, pp 667-671
- Conference
- The First IEEE Regional Conference on Aerospace Control Systems, 1st
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-84867812262
- Other Identifier
- 991019173545304721