【摘要】 论文针对复杂不确定的混沌系统，在控制方向未知、参数不确定、输入饱和的情况下，引入Nussbaum函数，提出了一种新的同步控制方法。该方法不仅处理了控制方向未知的问题，也处理了由输入饱和引起的非线性现象，并结合反演技术和神经网络技术，实现了不确定混沌系统的同步。通过构造Lyapunov复合能量函数证明了同步误差的收敛性。数值仿真结果验证了该同步控制方法的有效性。更多还原

【Abstract】 This paper addresses the synchronization control problem in complex uncertain chaotic systems with unknown control direction,uncertain parameters,and input saturation. By introducing the Nussbaum function,a novel synchronization control method is proposed. This method not only handles the issue of unknown control direction but also addresses the nonlinear phenomenon caused by input saturation. By combining backstepping techniques and neural network technology,synchronization in uncertain chaotic systems is achieved. The convergence of synchronization error is proven by constructing a Lyapunov composite energy function. Numerical simulation results validate the effectiveness of the proposed synchronization control method.更多还原