Frequency Response Function Identification of LPV Systems: a Global Approach with Application to Mechanical Systems

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

A frequency-domain approach to identification of mechanical systems with friction

Abstract—This note describes a novel frequency-domain approach to identification of mechanical systems with friction on the basis of their periodic steady-state motions. Most importantly, the proposed method does not require acceleration information for its implementation. An interesting feature is that any periodic excitation input with sufficiently large amplitude and/or frequency can ensure ...

Vibration Analysis of Global Near-regular Mechanical Systems

Some near-regular mechanical systems involve global deviations from their corresponding regular system. Despite extensive research on vibration analysis (eigensolution) of regular and local near-regular mechanical systems, the literature on vibration analysis of global near-regular mechanical systems is scant. In this paper, a method for vibration analysis of such systems was developed using Kr...

Revisiting the Relationship Between Systems of Innovation and Health Systems: A Response to Recent Commentaries

Global parameter identification in systems with a sigmoidal activation function

Parameter identification in a 2-node network with sigmoidal activation functions is considered. Given the nonlinearity in the weights, standard estimation algorithms based on linear parametrization are inadequate tools for studying global parameter convergence. In this paper, we provide an alternative approach for studying parameter identification in the presence of sigmoidal parametrization. C...