In this paper we consider the problem of minimizing the C1 norm of a closed-loop transfer function while keeping its Hz norm under a specified level. It wiU be shown that the optimal closed-loop impulse response has finite support, and thus a non-rational Laplace transform. To solve this difficulty we propose & method for synthesizing rational controllers with performance arbitrarily close to o...

Intensive care is a complex environment involving many signals, data and observations. Clinical decision support and artificial intelligence using fuzzy logic and closed loop techniques are methods that might help us to handle this complexity in a safe, effective and efficient way. Merouani and colleagues have performed a study using fuzzy logic and closed loop techniques to more effectively we...

In this paper a new variety of the digitized version of an analog phase locked loop has been proposed in order to overcome the conditionally stable nature of a software controlled phase locked loop. Also the conventional need of a low pass filter to filter out the high frequency components at the output of a phase detector is avoided through the use of In-phase and Quadrature signals. MATLAB si...

UNLABELLED BACKGROUND During elongation, multi-subunit RNA polymerases (RNAPs) cycle between phosphodiester bond formation and nucleic acid translocation. In the conformation associated with catalysis, the mobile "trigger loop" of the catalytic subunit closes on the nucleoside triphosphate (NTP) substrate. Closing of the trigger loop is expected to exclude water from the active site, and deh...

background: availability of antiretroviral therapies has transformed aids into a manageable chronic condition and im­proved well-being among people living with hiv/aids (pha) in developed countries. in developing countries however, such transformations are yet to occur due to socio-economic, systemic and environmental constraint. this study examined the impact of social, economic, psychological...

a new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. we use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. then, we linearized this identified model at each sampling time to have an approximate linear time varying system. in order to stabilize...