Characterizing optimal solutions to weighted mixed sensitivity problems

Optimal weighted mixed sensitivity designs for single-input/single-output, linear, time-invariant systems are characterized by qualitative properties. Conditions for optimality based on flatness of the objective function and the relative numbers of closed right half-plane poles and zeros of the plan...

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Bibliographic Details
Published in:	Systems & control letters Vol. 25; no. 5; pp. 367 - 374
Main Author:	Lenz, Kathryn E.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 08-08-1995 Elsevier
Subjects:	Applied sciences Computer science; control theory; systems Control theory. Systems Exact sciences and technology Frequency domain methods H−8-optimal controllers Optimal control Pole/zero properties Weighted mixed sensitivity optimization Weighting functions H −8-optimal controllers Pole/zero properties Weighted mixed sensitivity optimization Weighting functions Frequency domain methods Sensitivity Zero H∞ optimization Weighting Linear system Optimal control Optimality condition Frequency domain method SISO system Invarying system Optimization Pole
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Summary:	Optimal weighted mixed sensitivity designs for single-input/single-output, linear, time-invariant systems are characterized by qualitative properties. Conditions for optimality based on flatness of the objective function and the relative numbers of closed right half-plane poles and zeros of the plant and optimal controller are examined.
ISSN:	0167-6911 1872-7956
DOI:	10.1016/0167-6911(94)00101-Z