This paper addresses the event-triggered consensus tracking control problem of multi-agent systems with unknown dead zones and unknown disturbances, subject to constraints on the agents output. The nonlinear functions are estimated by using the neural networks. Furthermore, a state...

The purpose of this paper is to contribute to a further understanding of the impact of monetary policy shocks on a financial network, which we dub the “financial network channel of monetary policy transmission”. To this aim, we develop an agent-based model (ABM) in which banks extend loans...

In order to explore the impact of information delay and liquidity on the financial market, we propose a delay agent-based model from the perspective of micro evolution in financial market based on the methods of agent-based model and econophysics. Mean escape time and escape rate in econophysics...

Researchers have proposed that generating conceptual models automatically from user stories might be useful for agile software development. However, user stories in their current form have insufficient information to generate conceptual models that show dependencies between user stories, such as...

The deployment of renewable energy technologies in the home, such as heat pump systems, is increasingly encouraged in many countries to curb climate change and dependence on fossil fuels. However, the adoption process is not well-understood. In this paper, we develop an agent-based model to...

This article deals with nonlinear stochastic uncertain multi-agent systems (MASs) under mixed delays and impulse disturbances and leader-followers and leaderless systems. Based on the Lyapunov Function (LF), stochastic analysis and some inequality scaling skills, asymptotic stability is...

This research proposes an Activity Pattern embedded Air Pollution Exposure Model (AP2EM), based on survey data of when, where, and how people spend their time and indoor/outdoor ratios for microenvironments. AP2EM integrates random forest and agent-based approaches to simulate the stochastic...

Lithium (Li) metal is considered as one of the most exciting anode materials for next-generation batteries because of its high theoretical capacity and lowest reduction potential. However, the uncontrollable dendrite growth associated with nonuniform deposition and huge volume change during...

Countries all around the globe are continuing to restructure their energy markets in various ways. To deal with electricity market challenges, a flexible simulation platform is very important to maintain synchronization between market structure and market players and their behavior. So, for this...

Recently, multi-agent systems (MASs) have got attention due to consideration of distributed optimization and control in blockchain (BC) based energy trading applications. However, due to the dynamic behavior of uncertain and random variables, the coordination and control of MAS is still di cult...