The sensor network (SN) has long been an ongoing research topic with many successful
applications in a wide range of fields. Lying in the core part of this paper is the distributed …

Contraction theory is an analytical tool to study differential dynamics of a non-autonomous
(ie, time-varying) nonlinear system under a contraction metric defined with a uniformly …

This paper presents novel machine-learning-based methods for estimating the state of
charge (SoC) of lithium-ion batteries, which use the Gaussian process regression (GPR) …

This paper is concerned with the problem of robust H∞ output feedback control for a class of
uncertain discrete-time delayed nonlinear stochastic systems with missing measurements …

Control and estimation of linear systems with state-multiplicative noise in the H-infinity
setting is covered in this monograph. Multiplicative noise appears in systems where the …

This paper describes the robust H/sub/spl infin//filtering analysis and synthesis of nonlinear
stochastic systems with state and exogenous disturbance-dependent noise. We assume that …

This paper discusses the H_∞ control problem for a class of nonlinear stochastic systems
with both state-and disturbance-dependent noise. By means of Hamilton--Jacobi equations …

The H∞ control has been one of the important robust control approaches since the 1980s.
This book extends the area to nonlinear stochastic H2/H∞ control, and studies more …

In this article, we apply the active disturbance rejection control (ADRC) to the output tracking
of a class of lower triangular nonlinear systems subject to mismatched bounded stochastic …

In this paper, the generalized Lyapunov equation approach is used to study stochastic
stabilization/detectability with state-multiplicative noise. Some practical test criteria for …