Sentence examples for mean square stabilizing from inspiring English sources

In this case, we are able to establish closed form necessary and sufficient conditions on the minimal successful transmission probability that allows one to design mean square stabilizing controllers.

As for a discrete-time system with single input subject to multiplicative noises in [5], the coarsest static quantizer for the system to be quadratically mean-square stabilized is proved to be logarithmic with infinite levels, and the quantization density can be approximated by solving a Riccati equation; comprehensive study on feedback control systems with logarithmic quantizers is not given.

The stabilizing controllers to be designed must satisfy some mean square exponential stability constraints on the closed-loop poles.

Three problems are studied for the system: 1) For a set of given logarithm laws, how to design an optimal stabilizing controller for the closed-loop system in mean-square stability sense?

Exponentially mean-square stability [33].

In general, not all trajectories originating from the admissible initial states could be stabilized in the mean square sense or sufficient conditions are too restrictive to yield feasible solutions.

For this setup, we establish necessary and sufficient conditions for the existence of static state-feedback controllers that stabilize the plant in a mean square sense.

The observer-based controller is designed to stabilize the networked system in the sense of mean square, and the prescribed H∞ disturbance attenuation level is achieved.

Based on the proposed model, an observer-based controller is designed to exponentially stabilize the networked system in the sense of mean square, and sufficient conditions for the existence of the controller are established.

An H∞ dynamic output controller is designed to exponentially stabilize the networked system in the sense of mean square, and also to achieve the prescribed H∞ disturbance attenuation level.

A parametrization of all linear static output feedback controllers that stabilize a given system of this class in the mean square is presented.