The influence of the noises uncertainty on the Kalman filter performance is characterized by sensitivity functions. Relationships for computing these functions are derived and used both for synthesizing a Kalman filter with reduced sensitivity (KFRS) and a self-tuning Kalman filter (SKF). The results are illustrated by examples.

We find more self-tuning solutions by introducing a general form for Lagrangian of a 3-index antisymmetric tensor field AMNP in the RS II model. In particular, for the logarithmic Lagrangian, ∝ log(−H2), we obtained a closed form weak self-tuning solution.

I review the recent 5D self-tuning solutions of the cosmological constant problem, and try to unify two cosmological constant problems within the framework of the self-tuning solutions. One problem, the large cosmological constant needed for inflation, is interpreted by starting with the parameters allowing only the dS vacuum, and the vanishing cosmological constant at a true vacuum is realized...

We find more self-tuning solutions by introducing a general form for Lagrangian of a 3-index antisymmetric tensor field AMNP in the RS II model. In particular, for the logarithmic Lagrangian, ∝ log(−H2), we obtained a closed form weak self-tuning solution. [

Modern medical diagnosis systems very often accumulate numerous data. These computer medical support systems are used in monitoring and diagnosis, which require the various tools to interpret captured parameters. In the paper the new type of the computer medical support system has been presented. The system uses diagnostic conclusion method based on a similarity between the patient’s condition ...

Automating physical database design has remained a long-term interest in research due to substantial performance gains afforded by optimised structures. Despite significant progress, majority of today's commercial solutions are highly manual, requiring offline invocation administrators (DBAs). This status quo is untenable: identifying representative static workloads no longer realistic; and too...

This paper provides an empirical test of a hypothesis, which describes the effects of structural mechanisms in genetic programming. In doing so, the paper offers a test problem anticipated by this hypothesis. The problem is tunably difficult, but has this property because tuning is accomplished through changes in structure. Content is not involved in tuning. The results support a prediction of ...

Model-reference adaptive control with neurofuzzy methodology is derived in this paper. Associate memory network(AMN) is investigated in detail to be the possible implementation as the direct self-tuning nonlinear controller. The essence of the neurofuzzy controller has been discussed and the local stability of the system is reached. The performance of the model-reference adaptive neurofuzzy con...