In this paper, we present an overview of adaptive control by contrasting model‐based
approaches with data‐driven approaches. Indeed, we propose to classify adaptive …

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …

This article studies the formation tracking control problem for a group of underactuated
surface vehicles with guaranteed transient properties, including connectivity maintenance …

This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

Notice of Violation of IEEE Publication Principles After careful consideration by a duly
constituted committee, an author of this article, Hamid Reza Karimi, was found to have acted …

This paper explores the output-constrained tracking control problem for unknown Euler–
Lagrange systems subject to actuator faults, in the case where the reference trajectory is …

Guaranteeing prescribed performance is critical to maintaining system efficiency and
reliability. The state-of-the-art approaches achieve different performance specifications with …

This paper investigates the global adaptive control problem for a class of general switched
uncertain nonlinear systems. By improving the well-known mode-dependent average dwell …

This article investigates a prescribed performance control (PPC) problem of nonlinear strict-
feedback systems subject to actuator faults. By introducing-type performance functions, a …

This paper investigates the problem of secure state estimation for cyber-physical systems
modeled by continuous or discrete-time linear systems when some sensors are corrupted by …