Motivated by the widespread use of networked and/or embedded control systems, an algorithm for stabilizing sampled-data feedback control systems with uncertainly time-varying sampling intervals is proposed, where it is assumed that the sampled state is available for feedback. The algorithm is an extension of that for stability analysis in the authors’ previous study, and is based on the robustn...

None of the processing models in the software development has explained the software systems performance evaluation and modeling; likewise, there exist uncertainty in the information systems because of the natural essence of requirements and this may cause other challenges in the processing of software development. By definition an extended version of UML (Fuzzy-UML), the functional requirement...

Many works in the past showed that human judgments of uncertainty do not conform very well to Probability Theory. The present paper reports four experiments that were conducted in order to evaluate if human judgments of uncertainty conform better to Possibility Theory. At first, two experiments investigate the descriptive properties of some basic possibilistic measures. Then a new measurement a...

Building a robust and effective human-agent team is difficult, as teams can fail for many reasons. In this study, we investigated the performance of human-agent teams with divisional and functional team structure under different level of task load uncertainty. Divisional teams show robustness against uncertainly but can lead to poorer performance. Three reasons related to team coordination were...

U.S. healthcare organizations face unprecedented financial pressures, making it more difficult than ever to maintain the vital re-investment capital required to sustain high levels of care and improve operating efficiency. More than 34% of hospitals reported operating losses for the first half of 2009 and more than 70% of healthcare organizations have slowed down or canceled capital projects as...

This research models the development decision when net rents are growing geometrically and uncertainly, and capital intensity is variable. We derive simple rules for the optimal timing of land development projects based on the commonly used internal rate of return and net present value criteria. We show that, even under certainty, projects are optimally delayed beyond the point where net presen...

We explore the connection between the mind and the brain. We propose that consciousness is the consequence of processing information and that the solution to the binding problem does not entail quantum mechanical coherence or entanglement. We argue for an alternative inspiration from quantum mechanics and quantum field theory based on time-energy uncertainly: not to reduce consciousness to a qu...

This paper applies the Feedback Error Learing and H framework to develop a robust model and adaptive architecture for web server performance control and service delay guarantees. Web server model is approximated with a two tank system that includes many uncertainly components. In contrast with web server delay control that only control delay, our architecture based on H robust control and queui...

This paper deals with the problem of model (in)validation of discrete-time, causal, LTI stable models subject to Slowly Linear Time Varying structured uncertainly, using freqnency-domain data corrupted by additive noise. It is nell known that in the case of structured LTI uncertainty the problem is NP hard in the number of uncertainty blocks. The main contribution of this paper shows that, on t...

Early detection of prostate cancer is problematic, not just because of uncertainly whether a diagnosis will benefit an individual patient, but also as a result of the imprecise and invasive nature of establishing a diagnosis by biopsy. Despite its low sensitivity and specificity for identifying patients harbouring prostate cancer, serum prostate specific antigen (PSA) has become established as ...