A key assumption in the development of system identification and adaptive control schemes
is the availability of a regression model which is linear in the unknown parameters (of the …

In marine operations, the performance of model-based automatic control design and
decision support systems highly relies on the accuracy of the representative mathematical …

In this paper, main objective is to develop a reduced-order adaptive state observer (RASO)
for a large class of DC–DC converters with constant power load (CPL) to estimate their …

We present some new results on the dynamic regressor extension and mixing parameter
estimators for linear regression models recently proposed in the literature. This technique …

The increasing penetration of power-electronic-interfaced devices is expected to have a
significant effect on the overall system inertia and a crucial impact on the system dynamics …

In this paper we propose a new state observer design technique for nonlinear systems. It
consists of an extension of the recently introduced parameter estimation-based observer …

In this article, we consider the excitation preservation problem of Kreisselmeier's regressor
extension scheme. We analyze this problem within the context of the dynamic regressor …

In this article, we study the conditions for convergence of the recently introduced dynamic
regressor extension and mixing (DREM) parameter estimator when the extended regressor …

In this paper it is shown that, using the recently introduced dynamic regressor extension and
mixing parameter estimation technique, it is possible to remove the key assumption of prior …

Advances in non-linear control theory have made it possible to develop controllers for non-
linear dynamic systems in their nature. The low-cost proportional control valves of the …