ABSTRACT A new approach to the parameter identification of nonlinear dynamic systems using cascade models with nonlinear dynamic, linear dynamic and nonlinear static blocks is presented. Application of the key-term separation principle provides special expressions for the corresponding nonlinear model description that are linear in parameters. A least-squares-based iterative technique is proposed allowing estimation of all the model parameters based on measured input/output data. Illustrative examples of nonlinear cascade systems identification with input backlash and nonlinear static output characteristics are included.

中文翻译：

---

具有反向间隙输入和静态输出非线性的非线性级联系统的建模和识别

摘要 提出了一种使用具有非线性动态、线性动态和非线性静态块的级联模型来识别非线性动态系统参数的新方法。关键项分离原理的应用为参数线性的相应非线性模型描述提供了特殊表达式。提出了一种基于最小二乘法的迭代技术，允许基于测量的输入/输出数据估计所有模型参数。包括具有输入间隙和非线性静态输出特性的非线性级联系统识别的说明性示例。