Sentence examples for fractional representations from inspiring English sources

This paper discusses linear fractional representations (LFR) of parameter-dependent nonlinear systems with real-rational nonlinearities and point-delayed dynamics.

This paper focuses on quadratic performance analysis and output feedback gain-scheduling synthesis for parameter-dependent systems with linear fractional representations (LFRs).

We analyse the very general class of uncertain systems that have Linear Fractional Representations (LFRs), and uncertainty blocks in a convex set with a finite number of vertices.

Moreover, the researchers have recently proved that the physical systems with dissipation can be clearly modeled more accurately by using fractional representations [22].

The second step then tries to further simplify the affine LPV model, which helps to reduce both the computational burden for FDD synthesis methods and the order of the linear fractional representations (LFRs) that are generated from these LPV models.

We present a general framework for the systematic synthesis of robust gain-scheduling controllers by convex optimization techniques and for uncertain dynamical systems described by standard linear fractional representations.

The fractional representation of a slot, which is also an Egyptian Fraction, is scheduled by means of a binary tree.

The method is based on new stability and fractional representation results.

Our algorithm uses a fractional representation of the requested bandwidth in order to determine the number of resources.

The bandwidth request is split into the number of full slots and a fractional representation of a slot.

The proposed methodology is based on the H∞/H_ LPV technique proposed in (Henry, 2012), for LPV systems modeled in a linear fractional representation (LFR) fashion.