Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

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 …

In this paper, the control problem is addressed for a hybrid PDE–ODE system that describes
a nonuniform gantry crane system with constrained tension. A bottom payload hangs from …

Partial differential equations (PDEs) are the most elegant way to model the dynamics of not
only much of the physical world around us but, increasingly, many of the social systems we …

Infinite-dimensional systems is a well established area of research with an ever increasing
number of applications. Given this trend, there is a need for an introductory text treating …

This paper investigates the finite-time stabilization problem for a class of high-order
uncertain nonlinear systems. The novel control strategy combining sign function with …

Adaptive control is a control methodology capable of dealing with uncertain systems to
ensure desired control performance. This paper provides an overview of some fundamental …

In this paper, we present the vibration control design for a Euler-Bernoulli beam with the
boundary output constraint. To prevent the constraint violation, a novel barrier Lyapunov …

This paper develops an adaptive partial differential equation (PDE) observer for battery state-
of-charge (SOC) and state-of-health (SOH) estimation. Real-time state and parameter …

In this work, we consider the problem of boundary stabilization for a quasilinear 2\times2
system of first-order hyperbolic PDEs. We design a new full-state feedback control law, with …