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 …

A lot of automatic feedback control and learning tasks carried out on many dynamical
systems still fundamentally rely on a form of proportional–integral–derivative (PID) control …

As is well-known, the classical PID control plays a dominating role in various control loops of
industrial processes. However, a theory that can explain the rationale why the linear PID can …

The past few decades have witnessed a prevalence of applying dynamical models to the
study of social networks. This paper reviews recent advances in the investigation of social …

This paper investigates the adaptive speed tracking control problem of high-speed trains
(HSTs) in the presence of stochastic disturbances. Considering the complicated operation …

This paper investigates the problem of adaptive tracking control for quadcopter in the
presence of nonlinear configuration uncertainties. It utilizes a real-time brain-inspired …

Game theory is playing more and more important roles in understanding complex systems
and in investigating intelligent machines with various uncertainties. As a starting point, we …

In this paper, some data-based control design options that can be used to accommodate for
the presence of uncertainties in continuous-state engineering systems are recalled and …

This article investigates adaptive identification and prediction problems for stochastic
dynamical systems with saturated output observations, which arise from various fields in …

摘要信息技术的快速发展和广泛应用, 为科学认识和有效调控现实世界中各类不确定性复杂系统
的结构, 运行与功能之间关系, 提供了前所未有的工具和手段, 使系统与控制科学迎来新的发展 …