Problem statement: Conventional Proportional-Integral-Derivative (PID) controllers exhibit moderately good performance once the PID gains are properly tuned. However, when the dynamic characteristics of the system are time dependent or the operating conditions of the system vary, it is necessary to retune the gains to obtain desired performance. This situation has renewed the interest of resear...

In this paper a novel technique is presented to solve tolerance design problems. To achieve the desired performance tolerance the technique uses a subtle, but significant, change in the design rather than increasing component precision. This change is the addition of a tuning parameter. Statistical models are used to developed framework for the tuning parameter design method. Also developed is ...

This paper describes a self-tuning architecture that dynamically adjusts the frequency of the processor to run at the highest speed it can sustain without causing errors. This frequency is determined through dynamic verification, an online error checking technique that uses a second, simpler processor to redundantly execute instructions, detecting both design errors and transient faults.

We show that a self-tuning mechanism of the cosmological constant could work in 5D non-compact space-time. The standard model matter fields live only on the 4D brane. The change of vacuum energy on the brane just gives rise to dynamical shifts of the profiles of the background metric and a bulk scalar field in the extra dimension, keeping 4D space-time flat. To obtain the Newtonian potential on...

Adaptive influence-coefficient methods have proven successful at controlling unbalance-induced vibration of rotating machinery without requiring a priori knowledge of machine dynamics. If initial influence estimates are inaccurate, however, vibration may become worse temporarily before the estimation converges. An auto-tuning method is presented here that adjusts adaptive “gain” parameters duri...

Observers deteeted unidireetional motion of isotropie dot patterns following exposure to (1) broadband noise eontaining all direetions of motion, or (2)noise from whieh eertain sets of direetion had been filtered. The amount of masking varied with the set of directions filtered from the noise, yielding broad directional tuning functions. The breadth of an observers's tuning funetion corresponde...

An accurate control of fundamental frequency is one of the essential demands in professional singing. This control relies on auditory and kinesthetic feedback. However, a loud accompaniment may mask the auditory feedback, leaving the singers to rely on kinesthetic feedback. The object of the present study was to estimate the significance of auditory and kinesthetic feedback to pitch control in ...

The influence of the noises uncertainty on the Kalman filter performance is characterized by sensitivity functions. Relationships for computing these functions are derived and used both for synthesizing a Kalman filter with reduced sensitivity (KFRS) and a self-tuning Kalman filter (SKF). The results are illustrated by examples.