In this paper a combination of the feedback linearizing control technique and GloverMcFarlane control method is applied for the control of a synchronous motor. The use of feedback linearization requires the complete knowledge of the nonlinear system. In practice, there are many processes whose dynamics is very complex, highly nonlinear and usually incompletely known. To improve robustness, it m...

We propose a new method for classification of photometric factors, such as diffuse reflection, specular reflection, attached shadow, and cast shadow. For analyzing real images, we utilize the photometric linearization method which was originally proposed for image synthesis. First, we show that each pixel can be photometrically classified by the simple comparison of the pixel intensity. Our cla...

This paper presents a linear transformation for low order nonlinear autonomous differential equations. The procedure consists of a trajectory-based local linearization, which approximates the nonlinear system in the neighborhood of its equilibria. The approximation is possible even in the non-hyperbolic case which is of a particular interest. The linear system is derived using an L2 norm optimi...

We present a method for generating linearized images that consist of only diffuse reflection from images taken under near point light sources. Previous photometric linearization method cannot work under near point light sources, since it assumes parallel light. For satisfying this assumption, our method utilizes a photometric linearization method by dividing images into small regions. It also s...

This paper addresses the problem of feedback stabilization of nonholonomic chained systems within the framework of nonregular feedback linearization. Firstly, the nonsmooth version of nonregular feedback linearization is formulated, and a criterion for nonregular feedback linearization is provided. Then, it is proved that a chained form is linearizable via nonregular feedback control, thus enab...

The paper presents our experimental workplace currently built-up for testing of power amplifier linearization algorithms. After a brief introduction into linearization techniques using predistortion, a measurement configuration together with a brief description of its individual components are presented. The paper also presents the first experimental results. On the example of the QPSK modulati...

In this paper we prove that for Hessenberg delay-DAEs of retarded type, the direct linearization along the stationary solution yields the same linear delay ODE as the linearization of the state space form of the original problem, which is assured to be legitimate. Thus according to the theory of 6], the study of the asymptotic stability of the DDAE along the stationary solution can be transform...

A straight forward application of feedback linearization to the missile autopilot design for acceleration control may be limited due to the nonminimum characteristics and the model uncertainties. As a remedy, this paper presents a cascade structure of an acceleration controller based on approximate feedback linearization methodology with a time-delay adaptation scheme. The inner loop controller...

Black-box modeling techniques based on artificial neural networks are opening new horizons for modeling and controlling nonlinear processes in biotechnology and chemical process industries. The link between dynamic process models and actual process control is provided by the concept of model based control (MBC), e.g. Internal Model Control (IMC) or Model Based Predictive Control (MBPC). To avoi...