Engineering Adaptive Multi-Agent Systems with ODAM Methodology
نویسندگان
چکیده
Agent orientation is believed as an appropriate and powerful paradigm to develop complex systems. In order to engineer complex self-adaptive multi-agent systems, we present dynamic binding mechanism and an agentoriented methodology called ODAM that exploits the flexibility and high-level abstraction of agent orientation based on organization metaphors. The metamodel and modeling language of ODAM based on dynamic binding mechanism can effectively deal with the dynamic and self-adaptive aspects of MAS. Moreover, MDA approach and iteration development are integrated into ODAM to adapt to the variety of agent technologies and platforms, to deal with complexity of systems, and to simplify the development of MAS.
منابع مشابه
Distributed Fuzzy Adaptive Sliding Mode Formation for Nonlinear Multi-quadrotor Systems
This paper suggests a decentralized adaptive sliding mode formation procedure for affine nonlinear multi-quadrotor under a fixed directed topology wherever the followers are conquered by dynamical uncertainties. Compared with the previous studies which primarily concentrated on linear single-input single-output (SISO) agents or nonlinear agents with constant control gain, the proposed method is...
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 کاملAdaptive 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 کاملOptimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics
In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...
متن کاملAdaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems
This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...
متن کامل