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 …

This paper presents a comprehensive review of the industrial applications of artificial neural
networks (ANNs), in the last 12 years. Common questions that arise to practitioners and …

Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control
design methods to multi-agent systems on communication graphs. It develops Riccati design …

This paper investigates adaptive neural control methods for robotic manipulators, subject to
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …

A practical design method is developed for cooperative tracking control of higher-order
nonlinear systems with a dynamic leader. The communication network is a weighted …

In this brief, adaptive neural control is presented for a class of output feedback nonlinear
systems in the presence of unknown functions. The unknown functions are handled via on …

A novel robust adaptive controller for multi-input multi-output (MIMO) feedback linearizable
nonlinear systems possessing unknown nonlinearities, capable of guaranteeing a …

This paper focuses on develo** an advanced nonlinear controller for hydraulic system to
achieve asymptotic tracking with various disturbances. To accomplish this study, a multilayer …

In this brief, we consider the formation control problem of underactuated autonomous
surface vehicles (ASVs) moving in a leader-follower formation, in the presence of …

The dynamic surface control (DSC) technique was developed recently by Swaroop et al.
This technique simplified the backstep** design for the control of nonlinear systems in …