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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Intelligent Tracking Control for a Class of Uncertain High-Order Nonlinear Systems
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Intelligent Tracking Control for a Class of Uncertain High-Order Nonlinear Systems

机译：一类不确定高阶非线性系统的智能跟踪控制

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摘要

This brief is concerned with the problem of intelligent tracking control for a class of high-order nonlinear systems with completely unknown nonlinearities. An intelligent adaptive control algorithm is presented by combining the adaptive backstepping technique with the neural networks' approximation ability. It is shown that the practical output tracking performance of the system is achieved using the proposed state-feedback controller under two mild assumptions. In particular, by introducing a parameter in the derivations, the tracking error between the time-varying target signal and the output can be reduced via tuning the controller design parameters. Moreover, in order to solve the problem of overparameterization, which is a common issue in adaptive control design, a controller with one adaptive law is also designed. Finally, simulation results are given to show the effectiveness of the theoretical approaches and the potential of the proposed new design techniques.
机译：本摘要涉及一类具有完全未知非线性的高阶非线性系统的智能跟踪控制问题。通过将自适应反推技术与神经网络的逼近能力相结合，提出了一种智能的自适应控制算法。结果表明，在两个温和的假设下，使用建议的状态反馈控制器可以实现系统的实际输出跟踪性能。特别地，通过在导数中引入参数，可以通过调整控制器设计参数来减少时变目标信号与输出之间的跟踪误差。此外，为了解决自适应控制设计中普遍存在的过参数化问题，还设计了一种具有自适应律的控制器。最后，仿真结果表明了理论方法的有效性以及所提出的新设计技术的潜力。

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