A distributed neural network adaptive feedback control system is designed for a class of nonlinear multi-agent systems with time delay and nonidentical dimensions. In contrast to previous works on heterogeneous the same dimension, particular features are proposed each agent different dimensions, similar parameters defined, which will be combined controller. Second, novel based similarity using ...

A challenging task in network synchronization is steering the toward a coherent solution, when dynamics of constituent systems are heterogeneous and uncertain. In this situation, can be achieved via adaptive protocols (with feedback gains or coupling gains, both). However, as state-of-the-art methods adopt distributed observer architecture, they require to communicate extra variables among neig...

This paper is devoted to study the distributed event-triggered output consensus (ETOC) of heterogeneous multi-agent systems (MASs) with general linear dynamics subject system uncertainties over digraphs. To account for practical case where only inaccurate model available, a scheme studied based on internal principle such that error approaches small adjustable bounded set related mismatch level ...

This paper describes the Distributed Pipeline Scheduling Framework that provides a systematic approach to designing distributed, heterogeneous realtime systems. This paper formalizes Distributed Pipelining Scheduling by providing a set of abstractions and transformations to map real-time applications to system resources, to create highly efficient and predictable systems, and to de-compose the ...

Distributed systems usually contain objects with heterogeneous security requirements that pose important challenges on the underlying security mechanisms and especially in access control systems. Access control in distributed systems often relies on centralized security administration. Existing solutions for distributed access control do not provide the flexibility and manageability required. T...