Quantitative feedback design for sampled-data systems

Autor:	I. M. Horowitz, Y. K. Liao
Rok vydání:	1986
Předmět:	Set (abstract data type) Unit circle Quantitative feedback theory Control and Systems Engineering Control theory Continuous feedback Computer Science Applications Variable (mathematics) Sampled data systems Mathematics
Zdroj:	International Journal of Control. 44:665-675
ISSN:	1366-5820 0020-7179
Popis:	In quantitative feedback theory (QFT) the plant uncertainty is defined by a set P = {P} ofpossible plants. The problem is to guarantee that the system response is in a specified acceptable set A, for all P in P. QFT has been developed for large classes of plants imbedded in continuous feedback structures. This paper extends QFT to sampled-data structures. A central problem is to find the minimum sampling frequency (ωs)min needed. The greater the plant uncertainty and the narrower the performance tolerances, the larger must ( ωs)min be. The detailed design procedure parallels very closely that for continuous systems, by using the complex variable w, which maps the unit circle in the z-domain to the imaginary axis in the w-domain.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::82e60a60b6a9f20e1569fb2cab8bc51d https://doi.org/10.1080/00207178608933625 Zobrazit plný text záznamu