Abstract

The paper considers the applications of sensitivity theory to analyzing data processing and control systems in nondesign modes, to reducing error models, to simplifying filters in data processing systems and regulators in control systems, and to synthesizing systems with low or minimum sensitivity to modeling errors.

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