Authors E. V. Melnik, A. B. Klimenko, D. Ya. Ivanov, V. A. Gandurin
Month, Year 09, 2017 @en
Index UDC 004.75+004.052.3
Abstract Contemporary information and control systems (ICSs) are an integral component of the wide range of complex mechatronic systems, including oil- and gas production, autonomous and mobile robotic systems, spacecraft, aircraft, energy production plants, etc. As such objects are the potential threats for the environment and people in case of failures, the high-level dependability is required. Dependability is a complex and multiaspect term. It can be measured and evaluated quantitievely, while fault-tolerance is a means to provide dependability and bases on the system redundancy. Network-centric ICSs with decentralized dispatching are quite promising from the integration, scalability and fault-tolerance, while the performance redundancy of the computational units and load-balancing allow to improve the reliability values. The reconfiguration potential is the important feature of the ICSs considered. Configuration forming problem is one of the key issues of the system design and development. This problem is multicriteria and multiconstraint. All constraints are mandatory in general, but the result should be evaluated from the load-balancing point of view. Current paper focuses on the configuration generation problem. The new problem model is presented here. It takes into account the system clustering and involves appropriate parameters. The clustering must be taken into consideration due to the lack of fully-interconnected network between them. So, in case of reconfiguration monitoring and control tasks must be assigned to the computational units in borders of current cluster, if it is possible. The configuration generation problem formulated is solved with the “criterion delegating approach”, presented in previous work. The evolving of this approach allows improving the solutions quality from the load-balancing point of view.

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Keywords Network-centric control; network-centric approach; information and control system; fault-tolerance; dependability; decentralized monitoring and control; configuration forming; multicriteria optimization.
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