✦ LIBER ✦

Steady-state and parameter tracking properties of self-tuning minimum variance regulators

✍ Scribed by Maciej Niedźwiecki

Publisher: Elsevier Science
Year: 1989
Tongue: English
Weight: 484 KB
Volume: 25
Category: Article
ISSN: 0005-1098
DOI: 10.1016/0005-1098(89)90102-7

No coin nor oath required. For personal study only.

✦ Synopsis

Abgract~The self-tuning regulator with a fixed gain and a fixed forgetting factor applied to control of an ARX plant is considered. The ordinary differential equation analysis of the closed-loop system is performed in the neighbourhood of the stable equilibrium point and the approximate expressions for the steady-state mean square parameter tracking and regulation errors are derived for the adaptive regulators based on the exponentially weighted least squares and stochastic approximation identification, respectively. It is shown that the concept of the effective memory length of the estimation algorithm has to be revised if the closed-loop system identification with the gain-fixing technique is used.

1 T

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📜 SIMILAR VOLUMES

Performance rebustness of minimum varian

Performance rebustness of minimum variance and self-tuning regulators to disturbance model mismatch

✍ W.R. Cluett; P.R.C. Nelson 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 815 KB

This paper addresses the issue of mismatch between the actual disturbance model of a process and an assumed model for controller design. In current practice, process control engineers often avoid estimation of disturbance model parameters and prefer to use estimation schemes with deterministic model