In this paper, hierarchical control of an UAV (unmanned aerial vehicle) is proposed. The proposed controller is made up of two sub-systems, namely inner-loop controller and outer-loop controller. The inner-loop controller is an attitude control system while the outer-loop control system is a trajectory control system. In the proposed architecture, a DFNN-(dynamic-fuzzy-neural-network-) based re...

A novel pipelined architecture implementation of adaptive filter based on Distributed arithmetic (DA) for low­power, high­throughput, and low area. Filtering operations requires larger area and is not suited for higher order filters therefore causes reduction in the throughput. These problems have been overcome by efficient distributed formulation of Adaptive filters. Distributed arithmetic is ...

Mitochondria, the powerhouses of the cell, are essential organelles in eukaryotic cells. With their complex inner architecture featuring a smooth outer and a highly convoluted inner membrane, they are challenging objects for microscopy. The diameter of mitochondria is generally close to the resolution limit of conventional light microscopy, rendering diffraction-unlimited super-resolution light...

In model-based control design one often has to describe the plant by a linear model. Deriving such a model poses issues of parameterization, estimation, and validation of the model before designing the controller. In this paper, a direct data-driven control method is proposed for designing controllers that can handle constraints without deriving a model of the plant and directly from data. A hi...

The hierarchical architecture and complex biologic functions of native sheath make its biomimetic substitute a daunting challenge. In this study, a biomimetic bilayer sheath membrane consisting of hyaluronic acid-loaded poly(ε-caprolactone) (HA/PCL) fibrous membrane as the inner layer and PCL fibrous membrane as the outer layer was fabricated by a combination of sequential and microgel electros...

In this paper we study the parallel aspects of PCGLS, a basic iterative method whose main idea is to organize the computation of conjugate gradient method with preconditioner applied to normal equations, and Incomplete Modified Gram-Schmidt (IMGS) preconditioner for solving sparse least squares problems on massively parallel distributed memory computers. The performance of these methods on this...

In this paper we study the parallel aspects of IMGS, Incomplete Modiied Gram-Schmidt preconditioner which can be used for ef-ciently solving sparse and large linear systems and least squares problems on massively parallel distributed memory computers. The performance of this preconditioning technique on this kind of architecture is always limited because of the global communication required for...