Especially in lattice structured populations, homogeneous mixing represents an inadequate assumption. Various improvements upon the ordinary pair approximation based on a number of assumptions concerning the higher-order correlations have been proposed. To find approaches that allow for a derivation of their dynamics remains a great challenge. By representing the population with its connectivit...

The adjoint method has long been considered as the tool of choice for gradient-based optimisation in computational fluid dynamics (CFD). It is the independence of the computational cost from the number of design variables that makes it particularly attractive for problems with large design spaces. Originally developed by Lions and Pironneau in the 70’s, the adjoint method has evolved towards a ...

This paper proposes a systematic method, based on rational approximation and value set approach, to unravel the impact of commutation failure preventions (CFPREVs) HVDC system dynamics. First, some output variables in dynamics are identified as performance indices, it is shown that these indices functions CFPREVs parameters. Then numerical method used determine coefficients which describe analy...

In this paper we propose an ontology-based dynamic enterprise model with application for enterprise planning. We use the resource-event-agent (REA) framework as an enterprise domain ontology from which we develop a systems dynamics model of enterprise processes. Such a model may have broad application for enterprise planning, but we specifically describe how the model can be used to plan ongoin...

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...