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

Regents Of The University Of Michigan - Ann Arbor, Ann Arbor MI

Investigators

Abstract

Hysteresis is a ubiquitous phenomenon arising in diverse areas of engineering. In applications, it is closely linked to energy dissipation, and it is associated with quasi-static memory-dependent behavior. Many applications involve rate-dependent hysteresis, which merges quasi-static hysteresis with fully dynamic behavior, thereby yielding quasi-static hysteresis as a limiting feature of dynamic system properties. In the proposed research, we plan to develop differential models for rate-dependent hysteresis and use these models for nonlinear system identification and adaptive feedback control. The proposed research will simplify and extend existing hysteresis models and provide new techniques for identification and control of hysteresis in diverse applications.