This paper addresses a necessary and sufficient robust stability condition of fractional-order interval linear time invariant systems. The state matrix A is considered as a parametric interval uncertain matrix and fra...
This paper addresses a necessary and sufficient robust stability condition of fractional-order interval linear time invariant systems. The state matrix A is considered as a parametric interval uncertain matrix and fractional commensurate order is considered belonging to 1 ≤ α < 2. Using the existence condition of Hermitian matrix P = P * for a complex Lyapunov inequality, we show that a fractional-order interval linear system is robust stable if and only if there exist Hermitian matrices P = P * such that complex Lyapunov inequalities are satisfied for all vertex matrices, which is a set of selected matrices. Two numerical examples are presented to verify the validity of the proposed approach.
This paper deals with the joint estimation of time-delay and spatial (direction-of-arrival, DOA) parameters of several replicas of a known signal in an unknown spatially correlated field. Unstructured and structured m...
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This paper deals with the joint estimation of time-delay and spatial (direction-of-arrival, DOA) parameters of several replicas of a known signal in an unknown spatially correlated field. Unstructured and structured models have been proposed for maximum likelihood (ML) estimators in the literature. The former suffers from a severe performance degradation in some scenarios, whereas the latter involves huge complexity. It is shown how the extended invariance principle (EXIP) can be applied to obtain estimates with the quality of those of the structured model, but with the complexity of the unstructured one. We present a method to improve the quality of the time-delay estimates obtained with an unstructured spatial model when an estimate of the DOAs is available. Exemplarily, simulation results for time-delay estimation for GPS (Global Positioning System) are included and confirm that our proposal approaches the Cramer-Rao lower bound (CRLB) of the structured model even when suboptimal DOA estimates obtained by ESPRIT are introduced.
In networked control systems (NCS), it is considered essential to design a robust controller such that the networked-system is stable against data dropouts during the network transfer. It has been shown that there is ...
In networked control systems (NCS), it is considered essential to design a robust controller such that the networked-system is stable against data dropouts during the network transfer. It has been shown that there is a critical data dropout rate over which the networked-system could be unstable; hence the desired task cannot be achieved. This paper shows that a desired task or trajectories can be still achieved even though there are feedback signal dropouts if the desired task is repetitive, as in the iterative learning control case. Specifically this paper shows how to design stochastic iterative learning control systems such that the networked-system with a repetitive task is robust stable against measurement and process noises and independent, intermittent output channel dropouts.
We present a novel active mask framework for the segmentation of fluorescence microscope images of cells, and in particular, for the segmentation of the Golgi body as well as cell- volume computation. We demonstrate t...
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We present a novel active mask framework for the segmentation of fluorescence microscope images of cells, and in particular, for the segmentation of the Golgi body as well as cell- volume computation. We demonstrate that the algorithm is able to efficiently segment a stack of images and successfully assign multiple pieces of the Golgi body in a 2D image to the cell to which they belong. Further, we demonstrate that our algorithm is more accurate than manual segmentation of these images.
This paper deals with an optical switching problem concerning an architecture represented by input-output request matrix. New algorithms such as LS, Q-family and J-family are presented and thoroughly studied. J-family...
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This paper deals with an optical switching problem concerning an architecture represented by input-output request matrix. New algorithms such as LS, Q-family and J-family are presented and thoroughly studied. J-family algorithms are some modifications of the well known Double algorithm. The study focuses on comparison between the considered algorithms and known algorithms such as Double and Exact. The local comparison criteria consist of the number of decomposed matrices, the number of empty slots, the total time of decomposition and excess. As the global index of performance the weighted penalty is introduced, which comprises local criteria. The properties of the proposed algorithms are shown on examples, where matrices with various elements are decomposed into permutation matrices (switch configurations). An idea of experimentation system and some results of investigations are presented. The properties of the considered algorithms are discussed, especially significant results for LS algorithm are described.
While much research has been devoted to learning and machine intelligence, the field is still in its infancy. In particular, a technology that will allow for heuristic exploitation of information domain regularities t...
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We have realized the first demonstration of soft X-ray lasers with essentially full spatial and temporal coherence at sub-20 nm wavelengths by high harmonic seeding of soft X-ray plasma amplifiers created by irradiati...
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ISBN:
(纸本)9781557528599
We have realized the first demonstration of soft X-ray lasers with essentially full spatial and temporal coherence at sub-20 nm wavelengths by high harmonic seeding of soft X-ray plasma amplifiers created by irradiation of solid targets.
In this paper, a robust vibration suppression control method for a multi-inertia (a three-inertia and a four-inertia) system by a digital modified-IPD controller is proposed. The controller consists of integral, propo...
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ISBN:
(纸本)9788986510089
In this paper, a robust vibration suppression control method for a multi-inertia (a three-inertia and a four-inertia) system by a digital modified-IPD controller is proposed. The controller consists of integral, proportional, derivative and time lag of first order element. We apply the Taguchi Method for the determination of the controller gains for several noise factors (load side inertias and stiffness of the shafts). To confirm the effectiveness of the controller structure with several conditions and the tuning method, we use a real-time simulator based on a RTLinux.
Laboratory classes are an integral part of engineering education, but they are resource intensive and can also impose significant logistical constraints upon the curriculum. One option to reduce these burdens is the u...
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Mole pattern changes are important cues in detecting melanoma at an early stage. As a first step to automatically register mole pattern changes from skin images, this paper presents a framework to detect and label mol...
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