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December 2013
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166 Reads
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3 Citations
This paper deals with the design of nonlinear observers for a class of nonlinear mechanical systems in presence of uncertainties (or unknown inputs). Based on sliding-mode technique, a novel observer structure is developed in order to reconstruct the unmeasured velocity variable. The proposed observer guarantees an asymptotic velocity observation also in presence of uncertainties. Simulation results are included to show the effectiveness of our method.
April 2013
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458 Reads
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2 Citations
International Journal of Computer Applications
paper presents a new method of controlling chaos in the nonlinear Van Der Pol oscillator with uncertainties. The proposed method is based on a nonlinear observer to estimate unmeasured velocity signal coupled to a control law. The observer ensures, firstly, an asymptotic convergence of the velocity estimation error. Then, the control law, which is based on the estimated variables, forces the output system to track a desired trajectory despite presence of uncertainties (external forces) on the system dynamics. Simulation results are provided to show the effectiveness of the proposed control strategy.
June 2010
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34 Reads
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3 Citations
In control mechanical systems design, the velocity signal is not always available and may be corrupted by noise. It is therefore necessary to estimate it in order to construct the control law. This paper proposes a new sliding mode observer for nonlinear mechanical systems subject to nonsmooth impacts. The estimation of the velocity signal is derived from only position measurements. The proposed observer ensures an asymptotic velocity observation also in presence of non-smooth impacts. Excellent simulation results are included to show the effectiveness of the proposed approach.
August 2008
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18 Reads
In this paper, a neural network controller is applied to control (suppress) chaotic behavior in a theoretical model of a third order phase locked loop (PLL). It is demonstrated that the neural network controller can successfully cause the phase error to behave in a desired way. The performance of the neural network control method is compared to that of previously used LTI filters showing hence, the efficiency of neural networks (NNspsila) based control.
... The issue of state estimation has been extensively investigated in the last decade and became a very active topic in the modern control theory, which can be widely used to various applications such as state feedback controller design and fault diagnosis. The traditional observer including of unknown input observer can estimate the system states even if there are some unknown disturbances in the control system (Bejarano & Pisano, 2011;Darouach et al., 1994;Mohamed et al., 2013;Soleymani et al., 2020;Trinh et al., 2008;F. Yang & Wilde, 1988;J. ...
December 2013
... A more rigorous direction to estimate unmeasurable states in literature is nonlinear observer design. For instance, sliding observers were designed for general nonlinear systems by Slotine et al. in [3], for robot manipulators by Wit et al. in [4], and for mechanical systems subject to impacts by Mohamed et al. in [5]. However, all these observers require exact model knowledge to compensate for nonlinearities in the system. ...
June 2010
