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 article provides an exposition of the field of adaptive control and its intersections with
reinforcement learning. Adaptive control and reinforcement learning are two different …

In this paper, robust adaptive neural network (NN) control is investigated for a general class
of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with unknown control …

A direct adaptive control framework for nonlinear uncertain systems with input quantizers is
developed. The proposed framework is Lyapunov-based and guarantees global ultimate …

This paper investigates the problem of adaptive stabilization for a class of switched
nonlinearly parameterized systems where the solvability of the adaptive stabilization …

In this paper, a helicopter-like twin rotor multi-input multi-output system (TRMS) is decoupled
and is fuzzy Takagi–Sugeno modeled with the complex nonlinear functions simplified as the …

Ambiguity is always present in any realistic process. Imprecisely defined classes play an
important role in human thinking. The ambiguity may arise from the interpretation of the data …

This article investigates the adaptive fuzzy sliding exact tracking control problem of a class of
high-order nonlinear systems with full-state constraints and mismatched external …

In this article, the problem of disturbance-observer-based adaptive fuzzy control is
investigated for a class of strict-feedback switched nonlinear systems under arbitrary …

In this paper, a hybrid method is proposed to control a nonlinear dynamic system using
feedforward neural network. This learning procedure uses different learning algorithm …