The problem in active noise control in a linear duct is examined. Essentially, a nonlinear inverse to a nonminimum phase actuator is proposed. The nonlinear inverse exploits the non-Gaussian nature of some chaotic and stochastic noise sources. The architecture of the controller is derived using Bayesian estimation theory and is shown to be a combination of a linear adaptive network and a radial...

A nonlinear adaptive controller for a class of nonlinear plants with incompletely known and time varying dynamics is presented. It is based on a recurrent neural network used as a dynamical model of the plant. The adaptive controller design is realized by using an input-output feedback linearizing technique. The model parameters, that is the controller parameters are updated on-line such that t...

Most industrial processes are nonlinear systems, the control method applied consisting of a linear controller designed for the linear approximation of the nonlinear system around an operating point. However, even though the design of a linear controller is rather straightforward, the result may prove to be unsatisfactorily when applied to the nonlinear system. The natural consequence is to use ...

In this paper a fractional order PI controller (FOPI) is proposed for the speed control of Permanent Magnet Synchronous Motor(PMSM). Fractional calculus is introduced into the PI controller, and proposes a robust fractional order PI controller (FOPI) for the speed control of a PMSM .PMSM drive system is a nonlinear system which is sensitive to load disturbance, parameter variation, unmodelled a...

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

This paper works on the concept of flatness and its practical application for the design of an optimal transient controller in a synchronous machine. The feedback linearization scheme of interest requires the generation of a flat output from which the feedback control law can easily be designed. Thus the computation of the flat output for reduced order model of the synchronous machine with simp...

In recent years, underactuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has become a major field of interest due to the complexity and high computational load of these systems. Hierarchical sliding mode control has been investigated recently for these systems; however, the instability phenomena will possibly occur, especia...

An important consideration in control issues is control of nonlinear systems. Sliding control is among those nonlinear controllers that can control the system desirably in the presence of unstructured uncertainties of carelessness in specifying parameters of the system. In sliding control, also called Variable Structure Control, the main objectives of the controller &#10are achieved by introduc...

An important consideration in control issues is control of nonlinear systems. Sliding control is among those nonlinear controllers that can control the system desirably in the presence of unstructured uncertainties of carelessness in specifying parameters of the system. In sliding control, also called Variable Structure Control, the main objectives of the controller are achieved by introducin...

Abstract -This paper proposes a new approach to feedback linearization of flexible link robots which have uncertain modeling. The flexibility of joints is performed by use of the solenoid nonlinear springs, which have damper property. The simplified nonlinear H∞ controller is used to control linearized flexible link robots. The new continues and smooth model of frictions is used for modeling th...