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There is a tremendous number of geospatial data becoming available and there are numerous methods for getting access to geospatial sources. However, diverse geospatial data sources lead to various extracting ways. Users without adequate background knowledge are unable to fully exploit the growing amount of geospatial data. Our work provides users with a uniform interaction paradigm to tackle the variant...
This paper investigates the synchronization problem of a complex dynamical network with non-identical nodes and switching topology. Neither an equilibrium for each node nor a synchronization manifold is assumed to exist. We select average state trajectory as the target of synchronization and establish the error dynamical equations. Using single Lyapunov function method and the bounded synchronization...
The paper discusses the modified projective synchronization of two different chaotic systems, considering the conditions of the master-slave systems with uncertain parameters, adopting the Lyapunov stability theory and adaptive control method, a sufficient condition is attainted for the stability of the error dynamic between master and slave system, finally, the numerical simulation is provide to...
In the paper, the problems of chaos control for a class of switched chaotic systems with uncertainty is studied. Based on the adaptive control theory and common Lyapunov function method, a new adaptive controller is constructed, which can guarantee the switched chaotic systems asymptotic stability under arbitrary switchings. The results of simulation are given to show effectiveness of the proposed...
Aimed at the job-shop dynamic scheduling for agile manufacturing, genetic algorithms and heuristic rules are combined; a job-shop dynamic scheduling model based on multi-agent and the hybrid-genetic algorithm is proposed. The allocation of the tasks and coordination have been solved by multi-agent consultations based on contract net protocol, then the tasks have been rescheduled by hybrid-genetic...
Aimed at the job-shop dynamic scheduling for agile manufacturing, genetic algorithms and heuristic rules are combined; a job-shop dynamic scheduling model based on multi-agent and the hybrid-genetic algorithm is proposed. The allocation of the tasks and coordination have been solved by multi-agent consultations based on contract net protocol, then the tasks have been rescheduled by hybrid-genetic...
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