Asymptotic Analysis of Computational Multi-Agent Systems
نویسندگان
چکیده
A stationary Markov chain model of the agent-based computation system EMAS is presented. The primary goal of the model is better understanding the behavior of this class of systems as well as their constraints. The ergodicity of this chain can be verified for the particular case of EMAS, thus implying an asymptotic guarantee of success (the ability of finding all solutions of the global optimization problem). The presented model may be further adapted to numerous evolutionary and memetic systems.
منابع مشابه
Adaptive Leader-Following and Leaderless Consensus of a Class of Nonlinear Systems Using Neural Networks
This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...
متن کاملOn asymptotic stability of Prabhakar fractional differential systems
In this article, we survey the asymptotic stability analysis of fractional differential systems with the Prabhakar fractional derivatives. We present the stability regions for these types of fractional differential systems. A brief comparison with the stability aspects of fractional differential systems in the sense of Riemann-Liouville fractional derivatives is also given.
متن کاملAsymptotic Swarm stability of High-Order Multi-Agent Systems: Condition and Application
Asymptotic swarm stability problem of high-order dynamical multiagent systems is investigated in this paper. Consensus is a specific type of asymptotic swarm stability. Necessary and sufficient conditions are respectively presented for asymptotic swarm stability of two types of high-order dynamical multi-agent system models: general LTI systems and certain nonlinear dynamical multi-agent system...
متن کاملAdaptive Neural Network Method for Consensus Tracking of High-Order Mimo Nonlinear Multi-Agent Systems
This paper is concerned with the consensus tracking problem of high order MIMO nonlinear multi-agent systems. The agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. The communication network topology of agents is assumed to be a fixed undirected graph. A distributed adaptive control method is proposed to solve the consensus problem utilizing re...
متن کاملReducing Retrieval Time in Automated Storage and Retrieval System with a Gravitational Conveyor Based on Multi-Agent Systems
The main objective of this study is to reduce the retrieval time of a list of products by choosing the best combination of storage and retrieval rules at any time. This is why we start by implementing some storage rules in an Automated Storage/Retrieval System (Automated Storage and Retrieval System: AS/RS) fitted with a gravity conveyor while some of these rules are dedicated to storage and ot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010