In this paper, the input-output linearization problem for a class of single-input single-output nonlinear systems with multiple delays in the input and the state is studied. The problem is solved by means of various static or dynamic compensators, including state and output feedback. The mathematical setting is based on so-called Roesser models for this class of systems and on some noncommutati...

Modern digital communication systems utilize OFDM and DS-CDMA signals because of their superior spectral efficiency and multiple access properties respectively. Examples of such systems include digital television (DVB-T), digital radio (DAB) and 3 Generation mobile (WCDMA). A downside to using these signals however is the need to accommodate their very high Crest Factor, also known as Peak-to-A...

This paper is concerned with the use of freedom in the exact linearization technique. First, the freedom of the coordinates transformation and nonlinear state feedback in the exact linearization is clari ed as the preparation for its use. Second, we consider the transient behavior improvement in the presence of impulsive disturbances. Finally, we give a numerical example and an experiment to sh...

The combination of model predictive control based on linear models (MPC) with feedback linearization (FL) has attracted interest for a number of years, giving rise to MPC+FL control schemes. An important advantage of such schemes is that feedback linearizable plants can be controlled with a linear predictive controller with a fixed model. Handling input constraints within such schemes is diffic...

Robust predictive control of non-linear systems under state estimation errors and input and state constraints is a challenging problem, and solutions to it have generally involved solving computationally hard non-linear optimizations. Feedback linearization has reduced the computational burden, but has not yet been solved for robust model predictive control under estimation errors and constrain...

One of the most attractive and important field of chaos theory is control of chaos. In this paper, we try to present a simple framework for chaotic motion control using the feedback linearization method. Using this approach, we derive a strategy, which can be easily applied to the other chaotic systems. This task presents two novel results: the desired periodic orbit need not be a solution of t...