Modeling, Identification, and Control of Systems with Rate-Dependent Hysteresis

滞后现象是工程中普遍存在的现象。在实际应用中，它与能量耗散密切相关，并与准静态记忆相关行为相关联。许多应用涉及依赖滞后，它合并准静态的滞后与完全动态的行为，从而产生准静态滞后作为一个限制功能的动态系统属性。在本研究中，我们计划发展率相关迟滞的微分模型，并利用这些模型进行非线性系统辨识与自适应反馈控制。该研究将简化和扩展现有的迟滞模型，并为迟滞的识别和控制提供新的技术。

Hysteresis is a ubiquitous phenomenon arising in diverseareas of engineering. In applications, it is closely linked toenergy dissipation, and it is associated with quasi-staticmemory-dependent behavior. Many applications involverate-dependent hysteresis, which merges quasi-static hysteresiswith fully dynamic behavior, thereby yielding quasi-statichysteresis as a limiting feature of dynamic system properties. Inthe proposed research, we plan to develop differential models forrate-dependent hysteresis and use these models for nonlinearsystem identification and adaptive feedback control. The proposedresearch will simplify and extend existing hysteresis models andprovide new techniques for identification and control ofhysteresis in diverse applications.