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为提高内河船舶远程通信预警功能的精度和可靠性,提出了具有非线性预测控制模型特征的远程复杂目标预报辨识算法。通过将远程复杂目标的辨识分解为一个静态非线性环节和动态线性环节的串联,利用稳态信息获取稳态模型的一致性估计,并通过动态模型获得非线性静态环节的增益,再利用奇异值分解法和动态信息辨识获取非线性系统未知参数的估计。仿真结果验证了该方法的有效性。
In order to improve the accuracy and reliability of early warning of inland ship telecommunication, a remote complex target prediction and identification algorithm with nonlinear predictive control model is proposed. By decomposing the identification of remote complex targets into a series of static nonlinear links and dynamic linear links, the steady-state information is used to obtain the consistency estimation of steady-state model and the gain of non-linear static links is obtained through dynamic model. Then the singular values Decomposition and Dynamic Information Identification Obtain Estimation of Unknown Parameters of Nonlinear Systems. Simulation results verify the effectiveness of this method.