In this paper we present a new self-tuning procedure for PID controllers based on neuro-predictive control. A finite horizon optimal control problem is solved on-line, permitting to calculate the tuning parameters of the PID controller. The proposed method is implemented on a level-flow pilot plant and a comparison with conventional auto-tuning methods is also given.

The usual focus in authorship studies is on authorship attribution, i.e. determining which author (of a given set) wrote a piece of unknown provenance. The usual setting involves a small number of candidate authors, which means that the focus quickly revolves around a search for features that discriminate among the candidates. Whether the features that serve to discriminate among the authors ar...

The solution to fine tuning is one of the principal motivations for Beyond the Standard Model (BSM) Studies. However constraints on new physics indicate that many of these BSM models are also fine tuned (although to a much lesser extent). To compare these BSM models it is essential that we have a reliable, quantitative measure of tuning. We review the measures of tuning used in the literature a...

Most recent schema matching systems assemble multiple components, each employing a particular matching technique. The domain user must then tune the system: select the right component to be executed and correctly adjust their numerous “knobs” (e.g., thresholds, formula coefficients). Tuning is skilland time-intensive, but (as we show) without it the matching accuracy is significantly inferior. ...

Index tuning, i.e., selecting the indexes appropriate for a workload, is a crucial problem in database system tuning. In this paper, we solve index tuning for large problem instances that are common in practice, e.g., thousands of queries in the workload, thousands of candidate indexes and several hard and soft constraints. Our work is the first to reveal that the index tuning problem has a wel...

We propose two modeling approaches of AIMD congestion control mechanisms. The first separates the increase and decrease parts where as the second describes the rate evolution as a continuous process governed by a differential equation. We relate the approaches and show that the second one is an averaged approximation of the first one. The objective of this paper is twofold: model a class of (st...

Flow velocity in rivers has a major impact on residence time of water and thus on high and low water as well as on water quality. For global scale hydrological modeling only very limited information is available for simulating flow velocity. Based on the Manning-Strickler equation, a simple algorithm to model temporally and spatially variable flow velocity was developed with the objective of im...

We study the self-tuning of general brane junctions and brane networks on the 6-dimensional space-time. For the general brane junctions, there may exist one fine-tuning among the brane tensions. For the brane networks, similar to the 5-dimensional self-tuning brane models, the brane tensions can be set arbitrarily and there exists the singularity for the metric and bulk scalar. And if we want t...

David A. Powell,1,* Mikhail Lapine,2,1 Maxim V. Gorkunov,3 Ilya V. Shadrivov,1 and Yuri S. Kivshar1 1Nonlinear Physics Centre, Research School of Physics and Engineering, Australian National University, Canberra, Australian Capital Territory 0200, Australia 2Department Electronics and Electromagnetics, Faculty of Physics, University of Seville, Avda. Reina Mercedes s/n, 41015 Seville, Spain 3A....

Programming parallel/distributed applications is a difficult task that requires a high degree of knowledge and expertise, especially to achieve the potential performance offered by HPC. Analysis and tuning tools can be helpful for automatically improving applications performance. In particular, dynamic analysis and tuning tools are necessary for applications that vary their behaviour at executi...