The present work proposes a new method to the problem of implementation of Input-State feedback linearization. Such method is based on the search of a diffeomorphism which transforms the original nonlinear system into a linear one in the controllable canonical form with an external reference input, and the subsequent using of linear pole-placement techniques. The problem is solved without need ...

In this article we introduce a solution method for special class of nonlinear initial-value problems using set-based propagation techniques. The novelty the approach is that employ particular embedding (Carleman linearization) to leverage recent advances high-dimensional reachability solvers linear ordinary differential equations based on support function. Using global error bound Carleman line...

Permanent magnet machines, particularly at low power range, are widely used in the industry because of their high efficiency. They have gained popularity in variable frequency drive applications. The merits of the machine are elimination of field copper loss, higher power density, lower rotor inertia and a robust construction of the rotor (Bose 2002). In order to find effective ways of designin...

Normalized Information Distance, based on Kolmogorov complexity, is an emerging metric for image similarity. It is approximated by the Normalized Compression Distance (NCD) which generates the relative distance between two strings by using standard compression algorithms to compare linear strings of information. This relative distance quantifies the degree of similarity between the two objects....

We present an algorithm for the linearization of hybrid processes modeled in hybrid process algebra (HyPA) and prove its correctness. HyPA is a formalism that is suitable for the algebraic analysis of hybrid systems, i.e., systems with continuous (physical) as well as discrete (computational) components. Linearization is a useful first step in this analysis, because it reduces the complexity of...

With the advent of spectrally efficient wireless communication systems employing modulation schemes with varying amplitude of the communication signal, linearization techniques for nonlinear microwave power amplifiers (PAs) have gained significant interest. In this article, a low complexity, direct-learning multilevel lookup table based adaptive digital predistortion technique has been proposed...

New communications services have created a demand for highly linear high power amplifiers (HPA's). TWTA's continue to offer the best microwave HPA performance in terms of power, efficiency, size and cost, but lag behing solid state power amplifiers (SSAPs) in linearity. This paper discusses techniques for improving TWTA linearity. The significance and methods for evaluation of linearity are rev...

The paper deals with synthesis of sequential circuits defined by their algorithmic state machine notation. Such circuits have a number of specific properties which enable efficient design of the circuits by utilizing so-called linearization techniques. A typical linearization technique includes calculation of autocorrelation values for a system of logic functions corresponding to the circuit. F...

Current RF power amplifier (PA) linearization techniques are presently being investigated to improve PA linearity and power efficiency. One such linearization technique, Cartesian feedback (CFB), makes use of analog feedback to linearize a nonlinear plant (Figure 1). The commanded baseband symbol, I and Q, are compared to the symbol being transmitted by the PA, the baseband symbol is predistort...

The study of genetic map linearization leads to a combinatorial hard problem, called the minimum breakpoint linearization (MBL) problem. It is aimed at finding a linearization of a partial order which attains the minimum breakpoint distance to a reference total order. The approximation algorithms previously developed for the MBL problem are only applicable to genetic maps in which genes or mark...