This article addresses the distributed recursive state estimation problem for wireless sensor networks operating under stringent energy, bandwidth, and computational constraints. A compress-and-forward relay architecture integrated with compressed sensing is proposed to reduce the transmission burden while pres...

The Internet of Things (IoT) increasingly relies on large-scale networked agents that cooperate over bandwidth-limited and unreliable wireless links. This paper studies the finite-horizon H<inf>∞</inf> consensus control problem for a class of discrete-time IoT-enabled multi-agent systems subject...

This paper is concerned with the asynchronous sampled-data state estimation problems for a class of continuous-time nonlinear complex networks. A novel asynchronous sampled-data estimator is constructed with matrix exponential gains to estimate the states of network nodes, which allows each node&...

Traditional financial modeling approaches, such as econometric methods and dynamic stochastic general equilibrium models, exhibit inherent limitations in capturing the highly interactive and strategic nature of modern financial systems. To overcome these limitations, multi-agent systems (MASs) have increasingly...

Accurate medium-term load forecasting (MTLF) is critical for capacity planning, maintenance scheduling, and intelligent resource allocation in modern power systems. However, existing approaches are typically designed for fixed-horizon, contiguous prediction and often suffer from multistep error accumulation, li...

The dramatic evolution of modern communication technologies has led to the emergence of the Cloud Radio Access Network (C-RAN) as a cutting-edge architecture for communication systems deployed in industry. In this paper, the problem of networked state estimation is addressed for a class...

This article is concerned with the reputation-aware Kalman-type distributed filtering (RAKTDF) problem for a class of nonlinear bias-corrupted systems (NBCSs) with a dynamical event-triggered mechanism (DETM). First, a representative unknown input, namely the dynamical bias, is introduced, which is ev...

In this paper, the problem of proportional-integral observer (PIO) design is investigated for a class of discrete-time multi-rate systems with multiple sensors, with the sensor sampling periods being allowed to differ from the system updating periods. The facilitation of communication between...

Purpose: This study aims to explore consumers’ perceptions of retailers’ corporate image, focusing on corporate social responsibility, climate change engagement and sustainability initiatives such as the adoption of recyclable packaging and efforts to reduce carbon footprints and CO2 emissions....