Computational grids (CGs) have become an attractive research area as they suggest a suitable environment for developing large scale parallel applications. CGs integrate a large amount of distributed heterogeneous reso...
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Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pn...
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Complex mineral raw materials processing is an essential operation in modern industry. Innovative technologies help in constant improving of the efficiency and performance. The paper presents a design of electromagnet...
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Markets globalization makes industrial companies to change radically, becoming more flexible, customer oriented and ague in manufacturing. Consequently, the enterprise software applications are becoming more and more ...
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The paper deals with the design problem of control algorithms in fuzzy systems described by means of fuzzy relational equations, which can be implemented in the framework of fuzzy controllers applied to control of ill...
The paper deals with the design problem of control algorithms in fuzzy systems described by means of fuzzy relational equations, which can be implemented in the framework of fuzzy controllers applied to control of ill-defined systems. Some ways leading to assigning varying grades of importance to goals and constraints imposed in control process and their influence on the relation of the fuzzy controller is discussed in detail.
This paper is concerned with the network-theoretic properties of so-called k-nearest neighbor intelligent vehicular platoons, where each vehicle communicates with k vehicles, both in front and behind. The network-theo...
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Norm optimal iterative learning control(NOILC) has recently been applied to iterative learning control(ILC) problems in which tracking is only required at a subset of isolated time points along the trial duration. Thi...
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Norm optimal iterative learning control(NOILC) has recently been applied to iterative learning control(ILC) problems in which tracking is only required at a subset of isolated time points along the trial duration. This problem addresses the practical needs of many applications, including industrial automation, crane control, satellite positioning and motion control within a medical stroke rehabilitation context. This paper provides a substantial generalization of this framework by providing a solution to the problem of convergence at intermediate points with simultaneous tracking of subsets of outputs to reference trajectories on subintervals. This formulation enables the NOILC paradigm to tackle tasks which mix "point to point" movements with linear tracking requirements and hence substantially broadens the application domain to include automation tasks which include welding or cutting movements, or human motion control where the movement is restricted by the task to straight line and/or planar segments. A solution to the problem is presented in the framework of NOILC and inherits NOILC s well-defined convergence properties. Design guidelines and supporting experimental results are included.
An algorithmic framework is developed for automatic deployment of car-like robots based on Linear Temporal Logic (LTL) formulae over a set of regions of interest in the environment. The environment and the regions of ...
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A number of algorithms has been proposed for extending ABR congestion avoidance algorithms in ATM networks to perform feedback consolidation at the branch points of multicast connections. Schemes that attempt to maxim...
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This paper presents a single multiplicative neuron model based on a polynomial architecture. The proposed neuron model consists of a non-linear aggregation function based on the concept of generalized mean of all mult...
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