One of the fundamental problems in model reference adaptive control design is the ability of
the controlled system to achieve not only stability but also a user-defined performance in the …

Decentralised control of large-scale active–passive modular systems is considered in this
paper. The considered class of large-scale systems consist of physically interconnected and …

A decentralized neural network controller design for large scale system with multiple
uncertainties is presented in this paper. Controller synthesis relies primarily on an observer …

In this paper the method is improved by allowing the control of the shape of the performance
(ellipsoidal) set that is guaranteed to contain the tracking error trajectories. The design …

This paper deals with the design of a variable gains super-twisting sliding mode-based
decentralized control scheme with application to large-scale modular systems. The system …

In this paper, we present experimental results of a recently developed set-theoretic model
reference adaptive control architecture on an aerospace testbed, which is configured as a …

Adaptive control systems are widely used for compensating the effect of disturbances,
system uncertainties, unmodeled dynamics, and changes in system dynamics. In this paper …

This article studies control and performance enforcement for a class of uncertain dynamical
systems that consist of actuated and unactuated portions physically interconnected to each …

A distributed adaptive control design for an uncertain modular robotic system is proposed in
this paper. Specifically, a modular robotic system that consists of multiple robot manipulators …

This paper illustrates an application of a recently developed set-theoretic model reference
adaptive control architecture on a generic transport model developed by NASA. The …