中文摘要：

针对较强非线性的控制问题，提出一种以RBF神经网络为模型的多步预测控制方法．构建多步预测模型，并给出预测误差关于控制序列的雅可比矩阵的计算方法．利用Levenberg—Marquardt（L—M）算法设计滚动优化策略，通过误差修正参考输入的方法实现了反馈校正，证明了控制系统的稳定性．仿真结果表明所提出的控制方法效果较好．

英文摘要：

Aim at solving the strong nonlinear control problem, a multi-step predictive control method is proposed, which uses a RBF neural network as a model. A multi-step predictive model is constructed, a Jacobian matrix computing method for predictive error about control sequence is given, a receding horizon optimization policy is designed by using L-M algorithm, feedback correction is achieved by modifying reference input according the error, and the stability of the system is proved. Simulation results of the control method validate desirable performances.