Cluster partitioning of heterogeneous multi-agent systems

Adaptive 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...

Biologically inspired heterogeneous multi-agent systems

Integration of Heterogeneous Systems as Multi-Agent Systems

Systems integration is a difficult matter particularly when its components are varied. The problem becomes even more difficult when such components are heterogeneous such as humans, robots and software systems. Currently, the humans are regarded as users of artificial systems (robots and software systems). This has several disadvantages such as: (1) incoherence of artificial systems exploitatio...

Multi Agent Systems of Multi Agent Systems

Current business trends, policy markets, production requirements, etc., have created the need for integrating Multi Agent Systems (MAS). In the agent-specialized literature, we have found very little work about MAS methodologies that allow us to build MAS which is made up of two or more MASs. We think that several difficult challenges for automated systems can be tackled by giving full meaning ...

Optimal Stationary Synchronization of Heterogeneous Linear Multi-Agent Systems

Based on an approach with bounded virtual exosystems, the output synchronization of heterogeneous linear networks is addressed. Instead of exact synchronization with zero steady-state error, we introduce optimal stationary synchronization. Then, each agent is able to balance its synchronization error versus its consumed input-energy. In this regard, a local, time-invariant optimal control is ob...