We study a multi-agent output regulation problem, where not all agents have access to the exosystem’s dynamics. We propose a distributed controller that solves the problem for linear, heterogeneous, and uncertain agent dynamics as well as time-varying directed networks. The distributed controller consists of two parts: (1) an exosystem generator that creates a local copy of the exosystem dynami...

This paper presents a control structure for multiple heterogeneous remote physical agents (RPAs). An RPA is a robot with fundamental sensing, navigation and locomotion capabilities. The main objective of this work is to develop an architectural framework that permits a high degree of autonomy for each individual RPA, while providing a coordination structure that enables the group to act as a co...

Knowledge fusion refers to the process of locating and extracting knowledge from multiple, heterogeneous on-line sources, and transforming it so that the union of the knowledge can be applied in problem-solving. The KRAFT project has defined a generic agent-based architecture to support fusion of knowledge in the form of constraints expressed against an object data model. KRAFT employs three ki...

The development of (mobile) agent-based applications for open environments requires heterogeneous agent-based platforms to be interoperable. Interoperability can be achieved through agents which are able to execute and migrate through heterogeneous agent platforms, interact with each other independently from the hosting platform, and interact with the agents of the applications already availabl...

How do movements in the distribution of income a¤ect the macroeconomy? Krusell and Smith (1998) analyzed this question in a neoclassical growth model, and their results show that the representative-agent assumption provides a good approximation for aggregate behaviors of heterogeneous agents. This paper extends their analysis to a cash-in-advance model with heterogeneous money demand. It is sho...

Many kinds of interactions among individuals construct collective animal behavior, but how to apply this multiplicity of interactions is often unclear when constructing models. We propose multiplicity of interaction in a simple model constructed from three factors: asynchronous updating, learning site patterns, and agent anticipation. We found that the first two contribute to an efficient searc...

The mobile agent paradigm has been developed to solve problems in dynamic and heterogeneous environment [8]. The agent model of this paper is quite general. It is based on the concepts of agents, communication links and places. An agent is an entity which executes an algorithm: it can move from place to place (with some data and its algorithm) through communication links and it can make local c...

This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks. DISCOVERY models mobile autonomous underwater vehicles, distributed sensor and actuator nodes, as well as multi-agent datato-decision integration. The simulator is a real-time system using a discrete action model, fractal-base...

We investigate the finite-time consensus problem for heterogeneous multi-agent systems composed of first-order and second-order agents. A novel continuous nonlinear distributed consensus protocol is constructed, and finite-time consensus criteria are obtained for the heterogeneous multi-agent systems. Compared with the existing results, the stationary and kinetic consensuses of the heterogeneou...

Various agents have been designed and developed using agent platforms of many kinds aiming at cooperative problem solving, surrogation, and support of human activities. Generally, it remains as a difficult problem to realize cooperation or construction of agent organization using agents of different kinds running on heterogeneous agent platforms instead of similar agents running on homogeneous ...