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Output Feedback Dynamic Surface Control for a Class of Nonlinear Systems with Prespecified……

Aiming at a class of uncertain nonlinear systems with only system output available, neural network state observer is established, based on which an output feedback adaptive control scheme is proposed by using dynamic surface control technique. Performance function and error transformation are employed, thus the…

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Aiming at a class of uncertain nonlinear systems with only system output available, neural network state observer is established, based on which an output feedback adaptive control scheme is proposed by using dynamic surface control technique. Performance function and error transformation are employed, thus the pre-established control indexes on output signal such as tracking speed, tracking error, overshoot etc are guaranteed; moreover, explosion of complexity inherent in traditional backstepping control is eliminated. It is proved that all signals of the closed-loop system are semi-globally uniformly bounded. Simulation results show the effectiveness of the proposed scheme. http://www.sj-ce.org/paperInfo.aspx?ID=1271

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Output Feedback Dynamic Surface Control for a Class of Nonlinear Systems with Prespecified Tracking Performanceaspx30 KB
Aiming at a class of uncertain nonlinear systems with only system output available, neural network state observer is established, based on which an output feedback adaptive control scheme is proposed by using dynamic surface control technique. Performance function and error transformation are employed, thus the pre-established control indexes on output signal such as tracking speed, tracking error, overshoot etc are guaranteed; moreover, explosion of complexity inherent in traditional backstepping control is eliminated. It is proved that all signals of the closed-loop system are semi-globally uniformly bounded. Simulation results show the effectiveness of the proposed scheme.
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