This paper studies adaptive parameter estimation and control for nonlinear robotic systems
based on parameter estimation errors. A framework to obtain an expression of the parameter …

The Bouc–wen hysteresis model has been widely used to design systems using
magnetorheological (MR) materials. However, the model parameters cannot be perfectly …

In this paper, an adaptive nonlinear method is proposed for both Maximum Power Point
Traking Control and output voltage regulation of a Single-Ended Primary Inductance …

In this paper, an adaptive control scheme for maximum power point tracking of stand-alone
PMSG wind turbine systems (WTS) is presented. A novel procedure to estimate the wind …

This paper deals with a comparative evaluation of nonlinear controllers based on the linear
regression technique, which is a machine learning algorithm for maximum power point …

Most PV systems are equipped with classical algorithms such as Perturb and Observe, Hill
climbing and Incremental Conductance for Maximum Power Point Tracking Control (MPPT) …

For several decades renewable energies such as solar energy have been increasing
popularity in autonomous power generation. One of the major problems found in solar …

This paper studies a novel adaptive parameter estimation framework for linearly
parameterized nonlinear systems. Appropriate parameter error information is derived by …

When a structure is being damaged under unknown excitations, structural parameters of the
damaged elements are actually varying with time. Hence, the simultaneous identification of …

A robust output feedback active fault‐tolerant leader‐following controller for a class of non‐
linear multi‐agent systems is presented. It is assumed that the states of the followers are not …