Minimax Design for a Class of Linear Quadratic Problems with Parameter Uncertainty

Jason L. Speyer; Uri Shaked

doi:10.1109/TAC.1974.1100514

Minimax Design for a Class of Linear Quadratic Problems with Parameter Uncertainty

Jason L. Speyer, Uri Shaked

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

It is found for a class of linear-quadratic problems that the parameter strategy for the unknown time-varying bounded parameters are found to be independent of the present state. Since the parameter strategy is only a function of time, the feedback gains of the linear-quadratic problem are still easily calculatable functions of time.

Original language	English
Pages (from-to)	158-159
Number of pages	2
Journal	IEEE Transactions on Automatic Control
Volume	19
Issue number	2
DOIs	https://doi.org/10.1109/TAC.1974.1100514
State	Published - Apr 1974
Externally published	Yes

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abstract = "It is found for a class of linear-quadratic problems that the parameter strategy for the unknown time-varying bounded parameters are found to be independent of the present state. Since the parameter strategy is only a function of time, the feedback gains of the linear-quadratic problem are still easily calculatable functions of time.",

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Minimax Design for a Class of Linear Quadratic Problems with Parameter Uncertainty

Abstract

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