L. Keviczky

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The sensitivity function in a generic two-degree of freedom (TDOF) control system can be decomposed into three major parts: design-, realizability- and modeling-loss. The paper investigates the optimality of the second term in infinite norm spaces and proposes a new iterative algorithm for the solution.
An equivalent transfer function representation (TFR) is introduced to study the state-feedback/observer (SFO) topologies of control systems. This approach is used to explain why an observer can radically reduce even large model errors. Then the same principle is combined with Youla-parameterization (YP) introducing a new class of regulators.
AND INTRODUCTION Since 1978, there has been a history of successful cooperation between control researchers at the University of Minnesota and the Hungarian Academy of Sciences. This cooperative research effort was initially sponsored by the National Science Foundation in the late 1970's and early 1980's and later it has continued on an informal basis to(More)
The paper is a short tutorial like discussion on the applicability and the future of the classical Smith predictor. This evaluation shows that the Smith predictor is a subclass of the Youla parametrization based generic two-degree of freedom controllers. The application of the modern, new approach is suggested having much wider design possibilities.
Error properties of a generic two-degree of freedom control system is investigated. It is shown that there is a considerable difference between inverse stable and inverse unstable processes. New direct relationships are introduced for identification and optimization errors. For inverse unstable case these errors consist of systematic and random parts. The(More)
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