This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …

In this paper, a distributed adaptive control algorithm is designed for an uncertain multiagent
system in the presence of unmeasurable coupled dynamics that adopts user-assigned …

As it is well-known, system uncertainties and unmodeled dynamics can deteriorate stability
properties of model reference adaptive control systems. Motivated by this standpoint, we first …

Adaptive control methods present effective system‐theoretical tools in order to achieve
closed‐loop system stability and performance in the presence of exogenous disturbances …

The presence of unmodeled dynamics degrades the stability and performance of adaptive
control architectures. While there are studies that focus on the stability aspects of adaptive …

In this paper, we propose a model reference adaptive control scheme for optimal tracking in
the presence of uncertainties. A new reference model selection is introduced by using linear …

An uncertain system with coupled dynamics can lead to poor tracking performance or even
unstability when using control techniques that are classified as discrete-time or continuous …

In adaptive control of physical systems, it is well-known that the presence of actuator and/or
unmodeled dynamics in feedback loops can yield to unstable closed-loop system …

This paper represents on intelligent adaptive control of magnetic controlled growing rods
(MGCR) which used in the treatment of early-onset scoliosis. With intelligent adaptive control …

In many practical applications, the effects of both actuator and unmodeled dynamics are
strongly present in feedback loops. In this paper, we consider adaptive control of uncertain …