The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

Traditional Data Envelopment Analysis (DEA) models evaluate the efficiency of decision making units (DMUs) with common crisp input and output data. However, the data in real applications are often imprecise or ambiguous. This paper transforms fuzzy fractional DEA model constructed using fuzzy arithmetic, into the conventional crisp model. This transformation is performed considering the goal pr...

In this paper, an almost new control approach called terminal synergetic control which works based on user defined manifold is applied to a nonlinear helicopter model. Stability analysis is convestigated using Lyapunov stability theory. Synergetic controller is applied to this nonlinear fifth-order helicopter model to control height and angle. Simulation results showed that it has faster and sm...

One of the options to mitigate fading effects in mobile communication is adaptive transmitter gain. This paper proposes a simple technique to eliminate the effects of fading in different multi antenna set-ups by varying the transmitter gain. The multi antenna set-ups considered in this paper include Single input-single output (SISO), Single input-multi output (SIMO), Multi input-single output (...

Current radio frequency (RF) classification techniques assume only one target in the field of view. Multi-target recognition is challenging because conventional radar signal processing results superposition micro-Doppler signatures, making it difficult to recognise multi-target activity. This study proposes an angular subspace projection technique that generates multiple data cubes (RDC) condit...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

Pymrio is an open source tool for Environmentally Extended Multi-Regional Input-Output (EE MRIO) analysis developed in Python. It provides a high-level abstraction layer global EE MRIO databases order to simplify common data tasks. Among others, includes parsers several openly available (EXIOBASE v1 – v3, WIOD, Eora26, OECD-ICIO) as well methods production and consumption based accounts calcula...