Recursive identification of discrete-time nonlinear cascade systems with time-varying output hysteresis

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• 作者：Jozef Vörös
• 关键词：Nonlinear systems ; Time ; varying systems ; Recursive identification ; Hysteresis ; Coleman–Hodgdon model
• 刊名：Nonlinear Dynamics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：87
• 期：2
• 页码：1427-1434
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Vibration, Dynamical Systems, Control; Classical Mechanics; Mechanical Engineering; Automotive Engineering;
• 出版者：Springer Netherlands
• ISSN：1573-269X
• 卷排序：87

文摘

A recursive identification method for discrete-time nonlinear cascade systems with a linear dynamic system followed by a time-varying output hysteresis is presented. The mathematical model is based on the application of a special form of Coleman–Hodgdon hysteresis model and a compound operator decomposition technique and is linear-in-parameters. The recursive least-squares algorithm with internal variable estimation is used for the time-varying parameter identification. Simulation studies show the feasibility of proposed approach to estimate the model parameters and track their changes.