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. ...

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...

This paper considers PI controller tuning for Integral Plus Dead Time plant (IPDT) by new Matlab/Simulink tool based on the performance portrait method. It enables to guarantee transient responses with specified deviations from ideal shapes at the plant output and input and to fulfill additional optimality specification, defined in terms of the minimal IAE (Integral of Absolute Error) values we...

This paper describes frequency domain formulation of iterative learning control systems and study on their convergence along the operation axis. The concepts of learnable bandwidth and monotonic convergence are addressed and analyzed. It is shown that learnable bandwidth is a critical indicator for monotonic convergence and performance quality of the learning process. To achieve the good learni...

The principles of the traditional passive filter for suppressing harmonics are qualitatively analyzed in this study. The auto-tuning principles based on TCR are also analyzed. According to the deficiencies of these filters, a passive filter based on variable reactors is presented and the tuning method is investigated principally. This filter utilizes the anti-parallel thyristor controlled react...

This paper proposes a design method of self-tuning generalized minimum variance control based on ondemand type feedback controller. A controller, such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on, can be extended by using coprime factorization. Then new design parameter is introduced into the extended controller, and the parameter can re-design ...

In this work, we extend the genetic lateral tuning of membership functions [1] based on the linguistic 2-tuples representation [2], in order to also perform a tuning of the support amplitude of the membership functions. To do so, we present a new symbolic representation which extends the linguistic 2-tuples representation model with a parameter β to represent the amplitude variation of the supp...

In dealing with model predictive controllers (MPC), controller tuning is a key design step. Various tuning methods are proposed in the literature which can be categorized as heuristic, numerical and analytical methods. Among the available tuning methods, analytical approaches are more interesting and useful. This paper is based on a proposed analytical MPC tuning approach for plants can be appr...

one of the most important fuel cells (fcs) is proton exchange membrane fuel cells (pemfcs). the outputvoltage of this fc depends on current loads. this paper tries to introduce, implement and control the voltage ofpemfc, during load variations. the output voltage of fuel cell should be constant during load variation. toachieve this goal, a controller should be designed. here, the lead-lag contr...