The tracking and stabilizing control of a typical ship-mounted mobile satellite communication system (MSCS) is studied in this paper. Severe parametric uncertainties and uncertain nonlinearities exist in the dynamic model of the MSCS. Therefore, a discontinuous projection-based desired compensation adaptive robust control (DCARC) strategy is adopted to compensate for both the parametric uncerta...

Vortices are fundamental objects which appear in many branches of physics [1] such as optics [2, 3] and Bose-Einstein condensates [4]. In nonlinear optics, vortex solitons are associated with the phase dislocations (or phase singularities) carried by the nondiffracting optical beams [5], and share many common properties with the vortices observed in other systems, e.g., superfluids and Bose-Ein...

In this text a new kind of model is proposed to describe nonlinear devices in the frequency domain. The approach is based upon the use of describing functions and allows the description of hard nonlinearities better than an approach based upon the Volterra theory.

In this text a new kind of model is proposed to describe nonlinear devices in the frequency domain. The approach is based upon the use of describing functions and allows the description of hard nonlinearities better than an approach based upon the Volterra theory.

A black box model is proposed to describe nonlinear devices in the frequency domain. The approach is based upon the use of describing functions and allows a better description of hard nonlinearities than an approach based upon the Volterra theory. Simulations and experiments are described illustrating the mathematical theory.

Special classes of nonlinear systems applied in engineering are nonlinear systems with both block-oriented Hammerstein and Wiener structures, respectively [1, 3, 4, 7, 8, 14]. There are a lot of papers devoted to the different aspects of the parametric identification of Hammerstein and Wiener systems and much less on that of the Hammerstein–Wiener (H-W) systems with so-called hard nonlinearitie...

Control system models must often explicitly incorporate in them “uncertainties”, which model a number of factors, including: dynamics that are neglected to make the model tractable, as with large scale structures; nonlinearities that are either hard to model or too complicated; and parameters that are not known exactly, either because they are hard to measure or because of varying manufacturing...

The aim of the given paper is development of an approach based on reordering of observations to be processed for the extraction of an unmeasurable internal intermediate signal, that acts between linear dynamical and static nonlinear blocks of the Wiener system with hard-nonlinearity of the known structure. The technique based on the ordinary least squares (LS) and on data partition is used for ...

the constitutive relationships of the rubber materials that act as the main spring of a hydraulic engine mount are nonlinear. in addition to material induced nonlinearity, further nonlinearities may be introduced by mount geometry, turbulent fluid behavior, temperature, boundary conditions, decoupler action, and hysteretic behavior. in this research all influence the behavior of the system only...

Reinforcement Learning is a promising paradigm for the training of intelligent controllers when only a minimum of a priori knowledge is available. This is especially true for situations, where uncertainties and nonlinearities in sensors and actuators make the application of conventional control design techniques impossible or at least a very hard task. The article describes a neural control arc...