This paper investigates on control and stabilization of a new hyperchaotic system. The hyperchaotic system is stabilized using a new technique which called Generalized Backstepping Method (GBM). Because of its similarity to Backstepping approach, this method is called GBM. But, this method is more applicable in comparison with conventional Backstepping.  Backstepping method is used only for sy...

This chapter covers the concerns with a problem of adaptive ship control synthesis in the case of substantially limited knowledge of the plant model. In fact we have at our disposal only its highly general structure in the form of Norrbin’s-like representation with unknown nonlinearities. Two tasks of ship control are considered. The first task is concerning the ship course-keeping system desig...

This paper presents an adaptive backstepping controller for a class of multi input multi output (MIMO) underactuated system, with uncertain dynamics, in its original nonsquare form. The proposed controller combines a wavelet based backstepping controller and a robust control term to obtain the desired tracking performance. Proposed scheme utilizes the concept of regularized inverse for effectiv...

Control robustness is study for uncertain nonlinear systems transformed in semi strict feedback systems. An adaptive backstepping sliding mode control and an adaptive backstepping control robustness is considered. Robustness is studied when the unknown parameter are constants and varied. The simulation results prove that the sliding mode control is more robust than the backstepping control to t...

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...

This study investigates the adaptive fuzzy output feedback control of strict-feedback fractional-order chaotic systems with unmeasurable states and quantized input. First, functional uncertainties are approximated by logic (FLSs). Second, combining FLS system signal, an observer is constructed to estimate states. A command filter defined cope “explosion complexity” problem resulting from repeat...

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Input{output linearization is a method that uses nonlinear state feedback control to obtain linear equations between the input and output of a nonlinear control system. Its success depends crucially on the ability of the control to steer the state across the level sets of the output function. It is clear that this is essentially a global geometrical problem. In this work, we present a lineariza...