In this paper, we consider the efficient and reliable solution of distributed optimal control problems governed by parametrized elliptic partial differential equations. The reduced basis method is used as a low-dimensional surrogate model to solve the optimal control problem. To this end, we introduce reduced basis spaces not only for the state and adjoint variable but also for the distributed ...

In this paper contend with the determination of offline, optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system using Adaptive Tabu Search (ATS) algorithm is presented. Parameter of this PID controller is obtained by minimizing the performance index such as integrated absolute error (IAE), the integral of squared error (ISE), and the ...

In this paper, we consider advances in automated over-thephone alphanumeric string capture. For this task, acoustic confusions typically result in significant error rates. Of course, confusions also exist in human-to-human communication. However, humans employ dialog-level strategies with which to disambiguate confusions and correct errors – allowing highfidelity transmission of alphanumeric st...

Offline verbalization about a new motor experience is often assumed to positively influence subsequent performance. Here, we evaluated this presumed positive influence and whether it originates from declarative or from procedural knowledge using the explicit/implicit motor-learning paradigm. To this end, 80 nongolfers learned to perform a golf-putting task with high error rates (i.e., explicit ...

Recently, we proposed an ensemble speaker and speaking environment modeling (ESSEM) approach to enhance the robustness of automatic speech recognition (ASR) under adverse conditions. The ESSEM framework comprises two phases, offline and online phases. In the offline phase, we prepare an environment structure that is formed by multiple sets of hidden Markov models (HMMs). Each HMM set represents...

We present a model order reduction approach for parametrized laminar flow problems including viscous boundary layers. The viscous effects are captured by the incompressible NavierStokes equations in the vicinity of the boundary layer, whereas a potential flow model is used in the outer region. By this, we provide an accurate model that avoids imposing the Kutta condition for potential flows as ...

A novel intelligent neural network control scheme which integrates the merits of fuzzy inference, neural network adaptivity and simple PID method is presented in this paper. This control method overcomes the defects existed in the traditional variable frequency induction motor driven hydraulic source, such as slow response, poor control precision, easy to overshoot. Permanent magnet synchronous...

This paper argues for an integrated approach to verification, combining offline and online verification techniques used at different stages of a system’s lifetime, in order to detect and correct failures arising from design errors and program bugs. We propose a formal framework for online verification and recovery, including a fault model, within which such an integrated approach can be investi...

Online monitoring of bioprocesses is essential to expanding the potential of biotechnology. In this thesis, a system to estimate concentrations of chemical components of an Escherichia Coli fermentation growth medium via a remote fiber-optic Raman spectroscopy probe was studied in depth. The system was characterized to determine sources of instability and systematic error. A complete first-orde...