Sentence examples for gain techniques from inspiring English sources

Different approaches based on high gain techniques have been followed in the literature to tackle this problem.

The successful results of the method are illustrated in a realistic simulation con guration, giving a nice example of the good performances which can be obtained with high gain techniques in a noisy context.

An adaptive gain technique is introduced in order to tackle the problem of parameter boundaries.

Moreover, a Variable Relay-Equivalent Gain technique will be introduced to make the proposed observer less sensitive to measurement noises and to maintain good estimation of the states.

In this paper, a fuzzy adaptive nonlinear fault-tolerant control (FTC) method based on Nussbaum gain technique is proposed for hypersonic vehicles with diverse faults.

This paper investigates the output feedback control for a class of stochastic nonlinear time delay systems based on dynamic gain technique.

To tackle lumped disturbances and uncertainty parameters, a novel synchronization control law is developed by employing sliding mode control strategy and Nussbaum gain technique.

The users channel conditions are assumed to change according to some stationary stochastic process, while the uplink transmission rate is assumed to be adjustable with the variable spreading gain technique [23].

Unlike the common practice which uses the energy-to-peak performance measure, in our design we use the peak-to-peak gain technique to establish stability and performance guarantees.

By using adaptation mechanism and by combining with Nussbaum gain technique, an adaptive tolerant control strategy capable of attenuating immeasurable disturbances, compensating system parameters uncertainties, and accommodating actuation faults is developed.

It is shown that, using a novel observer design tool together with standard backstepping and small-gain techniques, it is possible to design a stabilizing output feedback controller which ensures robustness with respect to dynamic uncertainties.