The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The estimation value of time delay between two leakage signals is the main factor affecting the accuracy of leak location during the pipeline leak location. How to quickly find out the delay time and improve the positioning accuracy are difficulties. In this paper, the basic principle of leak location and LMS adaptive filtering algorithm were analyzed, then for computational complexity and the positioning...
A novel adaptation strategy is proposed for Acoustic Echo Cancellation (AEC). The new algorithm firstly partitions the adaptive filter into several blocks and the successive blocks with the maximum h norm are considered to be the active blocks. Then the coefficients of the active blocks are adapted with large update probability to ensure the identification accuracy while the zero coefficients are...
The distributed incremental affine projection algorithm (DIAPA) with constant step size inevitably encounters the conflict between the fast convergence rate and low steady-state misalignment. Thus, this paper proposes an adaptive combination of step sizes for distributed incremental affine projection algorithm (ACSS-DIAPA), which is updated by effectively employing a mixing parameter to combine the...
In this paper, the dynamic model of the two-link flexible manipulator with payload is analyzed using Euler-Lagrange equation. And then, a fast nonsingular terminal sliding mode controller is proposed for trajectory tracking problem of the manipulator. The stability of the control system is proved by the Lyapunov theory. Finally, simulation experiments were carried out in MATLAB and the results illustrate...
A Getz-Masden dynamic system 2 (GMDS2) is investigated in this paper. For the purpose of solving time-varying complex matrix inverse, we propose a TZ-type (i.e., Taylor-Zhang type) discrete Getz-Masden dynamic system 2; i.e., the proposed TZ-type discrete Getz-Masden dynamic system 2 is discretized by Taylor-Zhang discretization formula. The results of numerical experiments not only show the efficacy...
This paper studies the consensus problem in second-order multi-agent systems. For the first time, an event-triggered impulsive consensus control scheme is proposed to solve this problem. Under the event-triggered impulsive consensus control scheme, a distributed event-condition is defined in advance for each agent and the impulsive control is taken only when such condition satisfies, and no any actions...
Deep embeddings answer one simple question: How similar are two images? Learning these embeddings is the bedrock of verification, zero-shot learning, and visual search. The most prominent approaches optimize a deep convolutional network with a suitable loss function, such as contrastive loss or triplet loss. While a rich line of work focuses solely on the loss functions, we show in this paper that...
One popular approach for blind deconvolution is to formulate a maximum a posteriori (MAP) problem with sparsity priors on the gradients of the latent image, and then alternatingly estimate the blur kernel and the latent image. While several successful MAP based methods have been proposed, there has been much controversy and confusion about their convergence, because sparsity priors have been shown...
In this paper, a residual error indicating an accuracy of numerical solutions obtained by finite-difference time-domain (FDTD) method is calculated at a single frequency. The method extends a methodology of finding the convergence of the FDTD solutions previously proposed by the authors. By using our approach, the accuracy of the FDTD solutions is preserved by values of the calculated residue error...
A multi-objective particle swarm algorithm based on the active learning (MOPSAL) approach is proposed that combines a Multi-Objective particle swarm optimization (MOPSO) with an Pareto Active Learning (PAL) approach. In MOPSAL, the candidate solution set is produced by a sampling method based on mutation operator and preselected by the PAL approach. Then, the best Pareto solution from the candidate...
An adaptive fuzzy-neural-network control using nonsingular terminal sliding mode control (AFNNCNTSMC) is proposed for active power filter (APF) to attenuate the effect of unknown disturbances and parameter perturbations. Firstly, the dynamic model for APF is build in which both the system parameter variations and external disturbance are considered. Then a nonsingular terminal sliding mode control...
This paper presents the cascaded PI-continuous second order sliding mode control for induction motor in the presence of operational constraints. The inner-loop Sliding Mode Control (SMC) is designed to control the current dynamics of the motor while the outer-loop control is the PI control of speed. The main advantages of the proposed method are that the PI control provides reference to inner-loop...
In this paper, a framework of convex optimization algorithm with a fixed time convergence rate is investigated. Given a strongly convex optimization problem, two control algorithms are developed to solve the problem within a fixed time of which the upper bound is theoretically obtained. Moreover, the fixed time convergence rate based algorithms are extended into the distributed manner which is applied...
The method principal component (PCA) allows to allocate from a matrix of these several objects with a large amount of signs only 1–3 vectors containing 90–95% of information. Usually measuring problem of assessment of these main components is solved by the iterative NIPALS procedure or the algebraic SVD procedure, however both of these methods often give ambiguous estimates. For the purpose of elimination...
In this paper, the problem of target localization in the presence of outlying sensors is tackled. This problem is important in practice because in many real-world applications the sensors might report irrelevant data unintentionally or maliciously. The problem is formulated by applying robust statistics techniques on squared range measurements and two different approaches to solve the problem are...
Classical differential evolution (DE) is a good optimization algorithm with simple structure, easy operation and strong global search ability. Yet it is also inadequate. In this paper, a novel improved differential evolution called mean guiding differential evolution (MGDE) has been presented. By using difference information between amean individual and the best individual of previous generation to...
In this work, super twisting controller is tested for paraplegic knee stimulation. In contrary to the literature controllers proposed for the paraplegic patient, our command assures a uniform global convergence using the Lyapunov function. We studied, firstly, the performances of the controller by comparing them with those of literature. Then, we proposed an adaptive super twisting controller assuring...
Concept of computing and communication convergence has many years of history — as strategic concept it started about 1977 and yet have many definitions. The idea behind convergence concept mostly related to getting closer computing and telecommunication common technologies, services and service provider's business models. In this academic position paper some less significant obstacles of influence-reflection...
The development of the Internet and the emergence of smart devices have brought about significant changes in the existing shopping structure and shopping patterns, and have resulted in notable qualitative growth and development in everyday life of consumers. In particular, the shopping structure is changing in the form of an Omni Channel to maximize customer's purchase experience. However, since Omni...
In this paper, the problem of echo cancellation in long acoustic impulse responses (AIRs) is highlighted. Three of the mostly-used recent NLMS-based sparse adaptive filtering algorithms are presented; and their performances in the context of acoustic echo cancellation (AEC) are studied and compared. The algorithms of interest include the improved proportionate normalized least mean square (IPNLMS),...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.