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 …

As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

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 …

This chapter is devoted to the design of adaptive controllers for dynamical systems that
operate in the presence of parametric uncertainties and bounded noise. Four MRAC design …

During the past half century, modern control theory has developed greatly and many
branches and subfields have emerged, for example, linear system theory, optimal control …

This chapter presents the fundamental theory of model-reference adaptive control. Various
types of uncertainty are defined. The composition of a model-reference adaptive control …

There has been great interest in" universal controllers" that mimic the functions of human
processes to learn about the systems they are controlling on-line so that performance …

This book gives a comprehensive overview of the recently developed ℒ1 adaptive control
theory with detailed proofs of the fundamental results. The key feature of ℒ1 adaptive control …

Recent years have seen a rapid development of neural network control tech niques and
their successful applications. Numerous simulation studies and actual industrial …

A multilayer neural-net (NN) controller for a general serial-link rigid robot arm is developed.
The structure of the NN controller is derived using a filtered error/passivity approach. No off …