Principles of data mining
Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing
ASYMMETRICAL CONDITIONAL BAYES PARAMETER IDENTIFICATION FOR CONTROL ENGINEERING
Cybernetics and Systems
Fuzzy controller for mechanical systems
IEEE Transactions on Fuzzy Systems
Dynamics and flight control of the UAV formations
WSEAS Transactions on Systems and Control
Statistical kernel estimators for data analysis and exploration tasks: theory and applications
MATH'09 Proceedings of the 14th WSEAS International Conference on Applied mathematics
Stability and control of the UAV formations flight
WSEAS Transactions on Systems and Control
Control system of unmanned aerial vehicle used for endurance autonomous monitoring
WSEAS Transactions on Systems and Control
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The subject of this paper is the application of nonparametric estimation methods - in particular statistical kernel estimators - for control engineering. Such methods allow the useful characterization of probability distributions without arbitrary assumptions regarding their membership to a fixed class. A detailed description of the Bayes parameter estimation with asymmetrical polynomial loss function will be given, as will one for fault detection in dynamical systems as objects of automatic control, in the scope of detection, diagnosis and prognosis of malfunctions. To this aim the basics of data analysis and exploration tasks - identification of outliers, clustering, and classification - solved using uniform mathematical apparatus based on the kernel estimators methodology will also be considered. In every case the final result will be an algorithm ensuring that its practical implementation does not demand of the user detailed knowledge of the theoretical aspects, or laborious research and calculations.