一类非仿射型系统的神经网络自适应控制

Neural Network Adaptive Control for a Class of Nonaffine Systems

摘要:

针对一类未知控制方向的非仿射型系统的神经网络自适应控制问题进行了研究,提出了一种基于隐函数定理、反演设计技术、Nussbaum-型函数和神经网络理论相结合的新颖的自适应控制策略,成功地解决了该类系统控制器设计问题,为该类控制问题提出了一种解决思路。最后给出的数字仿真算例证明了该设计方法的有效性。

Abstract:

A novel robust adaptive control scheme was proposed for a class of nonaffine control systems with unknown control direction based on implicit function theorem, backstepping design techniques, Nussbaum-type function, and neural network theory. The control problem of these systems has been solved successfully. The proposed scheme provides a new idea to control these systems. Numerical simulation study was presented to demonstrate the effectiveness of the proposed method.