This paper deals with static hysteresis modeling for the PAM-based (pneumatic artificial muscles) position servosystem by means of an adaptive neuro-fuzzy inference system. The hysteretic behavior is expressed in arm position-pressure difference dependence where the output variable (arm position) depends on the history of input variable (pressure difference). In this way, a first order (until i...

In vivo characterization of the brain pharmacokinetics of novel compounds provides important information for drug development decisions involving dose selection and the determination of administration regimes. In this context, the compound-target affinity is the key parameter to be estimated. However, if compounds exhibit a dynamic lag between plasma and target bound concentrations leading to p...

This paper deals with the characterization, the modeling and the closedloop control of multivariable piezoelectric actuators, with an application to a 3-DOF piezoelectric tube scanner, widely used in precise positioning. These actuators are typified by hysteresis and creep nonlinearities, badly damped oscillation and strong couplings between their axis. First, during the modeling, we propose to...

All of electrical machines consist of magnetic materials. Accurate modeling of magnetic materials is important for correct simulation and design of electrical machines. Almost all of magnetic materials have hysteretic behavior. Hysteresis modeling using neural networks has some advantages such as simplicity of models, reduction of calculation time and reduction in essential computer memory. In ...

This paper deals with the characterization and the modeling of the temperature effect on the piezoelectric tube actuator. Besides the sensitivity to the variation of the temperature, this actuator is characterized by the hysteresis and the creep non-linearities, the badly-damped vibration and the cross-couplings between its three axis. First, the characterization results of the sensitivity of t...

Alexander V. Neimark, Peter I. Ravikovitch, Aleksey Vishnyakov Center for Modeling and Characterization of Nanoporous Materials TRI/Princeton, 601 Prospect Avenue, Princeton, NJ 08542, USA E-mail: [email protected] Abstract We present new results on MC simulations and Density Functional Theory modeling of sorption and phase transitions in nanopores. Major attention is paid to the proble...

MODELING, IDENTIFICATION, AND CONTROL OF HYSTERETIC SYSTEMS WITH APPLICATION TO VANADIUM DIOXIDEMICROACTUATORS By Jun Zhang Hysteresis nonlinearity in magnetic and smart material systems hinders the realization of their potential in sensors and actuators. The goal of this dissertation is to advance methods for modeling, identification, and control of hysteretic systems. These methods are applie...