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AIAA Science and Technology Forum and Exposition (AIAA SciTech)

作者： Li, Shu-Jie Ju, Lili Si, Hang Beijing Computat Sci Res Ctr Mech Div 10 West Dongbeiwang Rd Beijing 100193 Peoples R China Univ South Carolina Dept Math 1523 Greene St Columbia SC 29208 USA Weierstrass Inst Appl Anal & Stochast Mohrenstr 39 D-10117 Berlin Germany

ISBN: (数字)9781624105951

ISBN: (纸本)9781624105951

In this paper, exponential time integration methods are assessed in a solution adaptation frame with a model discontinuous Galerkin (DG) method for high-order simulations of realistic, three-dimensional viscous flows. The adaptive cell order of accuracy is determined dynamically by a local cell error indicator. The adaptive algorithm starts up with the first order of accuracy globally and then is locally refined up to its desirable highest order of accuracy in a fully multigrid like procedure. Compared with the uniformly high-order exponential DG method, the adaptive framework requires much less memory and leads to nearly three-fold times speedups for the cases tested while maintaining the same level of accuracy.

关键词： Navier Stokes Equations Unsteady Flows Discontinuous Galerkin Method adaptive algorithm Vortices Computational Fluid Dynamics Velocity Profiles Concentric Cylinders Mach Number Pressure Coefficient

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Linear prediction based adaptive algorithm for a complex sinusoidal frequency estimation

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2013年第6期67卷 521-527页

作者： Punchalard, R. Wardkein, P. Mahanakorn Univ Technol Dept Telecommun Engn Bangkok 10530 Thailand King Mongkuts Inst Technol Ladkrabang Fac Engn Dept Telecommun Engn Bangkok 10520 Thailand

The complex direct frequency estimation (CDFE) adaptive algorithm is developed and proposed in this paper. The motivation of this work is obtained from the previous real DFE (RDFE) adaptive algorithm. The methodology of the CDFE is based on the linear prediction property of complex sinusoidal signals. The proposed algorithm is unbiased and computationally efficient. Moreover, it is easy to implement and appropriate for real-time applications. In addition, the convergence behavior is analyzed and the steady-state mean square error (MSE) of the frequency estimate is derived in closed form. Computer simulations are treated to corroborate the theoretical analysis. (C) 2012 Elsevier GmbH. All rights reserved.

关键词： Linear prediction adaptive algorithm Complex sinusoid

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adaptive weights clustering of research papers

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Digital Finance 2020年第3-4期2卷 169-187页

作者： Adamyan, Larisa Efimov, Kirill Chen, Cathy Y. Härdle, Wolfgang K. Humboldt-Universität zu Berlin C.A.S.E.-Center of Applied Statistics and Economics Unter den Linden 6 Berlin 10099 Germany Wang Yanan Institute for Studies in Economics (WISE) Xiamen University A307 Economics Building Xiamen 361005 China School of Economics Sim Kee Boon Institute for Financial Economics Singapore Management University 90 Stamford Road 6th Level Singapore 178903 Singapore Department of Probability and Mathematical Statistics Faculty of Mathematics and Physics Charles University in Prague Prague 8 186 75 Czech Republic Department of Information Management and Finance National Chiao Tung University Hsinchu 30010 Taiwan

The JEL classification system is a standard way of assigning key topics to economic articles to make them more easily retrievable in the bulk of nowadays massive literature. Usually the JEL (Journal of Economic Literature) is picked by the author(s) bearing the risk of suboptimal assignment. Using the database of the Collaborative Research Center from Humboldt-Universität zu Berlin we employ a new adaptive clustering technique to identify interpretable JEL (sub)clusters. The proposed adaptive Weights Clustering (AWC) is available on http://***/ and is based on the idea of locally weighting each point (document, abstract) in terms of cluster membership. Comparison with k-means or CLUTO reveals excellent performance of AWC. © The Author(s) 2020.

关键词： adaptive algorithm C02 C14 C45 C63 C87 Clustering Economic articles JEL system Nonparametric

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Research on Vibration Isolation Control of Six wheel-legged Robot Based on Impedance Control 39

Research on Vibration Isolation Control of Six wheel-legged ...

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39th Chinese Control Conference (CCC)

作者： Yue, Binkai Wang, Shoukun Chen, Zhihua Xu, Kang Wang, Junzheng Beijing Inst Technol Key Lab Intelligent Control & Decis Complex Syst Sch Automat Beijing 100081 Peoples R China Beijing Inst Technol Key Lab Servo Mot Syst Drive & Control Minist Ind & Informat Technol Sch Automat Beijing 100081 Peoples R China

ISBN: (纸本)9789881563903

The electric parallel six wheel-legged robot (EPSWLR) is characterized by heavy load and fast moving speed. But the body will shake and vibrate while passing through rough roads, which affects its stability. In order to solve this problem. the single-leg structure based on Stewart structure was equivalent to the impedance system composed of mass block, spring and damping in this paper. Due to changes in environmental forces and environmental impedance parameters caused by environmental changes, the traditional impedance control (IC) still causes force error at the foot end of robot and thus results in poor vibration isolation effect. Therefore, a new adaptive algorithm was proposed in this paper and added to IC algorithm to reduce the force error caused by environmental changes and thus improve the vibration isolation effect. In this paper, the characteristic equation of adaptive impedance control (AIC) algorithm was first obtained and the condition for system stability was calculated based on Routh-Hurwitz stability criterion. Finally, the stability of this system was verified. The simulation experiment combining MATLAB and Adams was designed and performed with EPSWLR. The effectiveness of AIC was proved by monitoring the changes in the force of single leg and the attitude of robot body.

关键词： Electric parallel six wheel-legged robot Impedance control adaptive algorithm Stewart structure

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ARRAY-GEOMETRY-AWARE SPATIAL ACTIVE NOISE CONTROL BASED ON DIRECTION-OF-ARRIVAL WEIGHTING

ARRAY-GEOMETRY-AWARE SPATIAL ACTIVE NOISE CONTROL BASED ON D...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Maeno, Yu Takida, Yuhta Murata, Naoki Mitsufuji, Yuki Sony Corp Minato Ku Tokyo Japan

ISBN: (纸本)9781509066315

Active noise control (ANC) over a sizeable space ideally requires uniformly distributed sensors and secondary sources, which limits the feasibility of practically realizing such systems. In this paper, we propose a direction of arrival (DOA) weighting algorithm for the adaptive filter update, which prioritizes residual error control with respect to the array geometry. Array geometries utilizing multiple horizontal rings, which are considered as more practical than spherical array geometries, are introduced into both sensors and secondary sources. Numerical simulations indicate that the proposed method using multiple-horizontal-ring arrays gives higher noise attenuation performance than the conventional method. The DOA weighting can be intuitively defined on the basis of the secondary source array geometry without any prior information of the primary noise field.

关键词： Active noise control adaptive algorithm mode-domain signal processing plane wave decomposition feedforward

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The Determination of Stagnant Rate of Servo System Based On adaptive Chatter algorithm

The Determination of Stagnant Rate of Servo System Based On ...

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3rd International Conference on Energy, Environment and Sustainable Development (EESD 2013)

作者： Zhao, Ting Qiu, Xiaozhi Cai, Ding Huang, Baohua North China Elect Power Univ Beijing Peoples R China North China Elect Power Res Inst Co Ltd Beijing Peoples R China Harbin Inst Technol Sch Energy Sci & Engn Harbin Peoples R China

ISBN: (纸本)9783037859728

The current determination of stagnant rate cannot eliminate the dynamic effects, especially the change rate of speed. Consider the problem of the current determination of stagnant rate, this work presents one determination method based on adaptive chatter *** shows it can eliminate the impact of dynamics effectively. The method achieves the measurement online due to the signal of chatter can adapt to the dead zone of servo system. At last, the selection of the signal frequency is discussed.

关键词： Stagnant Rate Dead Zone adaptive algorithm Chatter

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Robust adaptive Control of A Disturbed Chua's Circuit with Circuit Implementation 9

Robust Adaptive Control of A Disturbed Chua's Circuit with C...

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9th IEEE Data Driven Control and Learning Systems Conference (DDCLS)

作者： Jiang, Cheng-Cheng Jin, Xiao-Zheng Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Peoples R China Qilu Univ Technol Sch Comp Sci & Technol Shandong Acad Sci Jinan 250353 Peoples R China

ISBN: (纸本)9781728159225

In this paper, a circuit implementation scheme is designed for the adaptive algorithm applied to the disturbed Chua's circuit system. Firstly, in order to effectively suppress the adverse effects of unknown disturbances on the system, the input of the system is designed by using the method of adaptive parameter adjustment. Then, the asymptotic stability of the ADRC system is proved by lyapunov theorem. Besides, the pure circuit implementation scheme of the control algorithm is given by using the combination of some basic analog components. Finally, the software Multisim is used to do the circuit simulation experiments, and the experiment results show that the circuit design scheme of the algorithm is correct.

关键词： Circuit implementation adaptive algorithm Chua's circuit

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Noise Cancelation Using adaptive Filter

Noise Cancelation Using Adaptive Filter

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International Conference on VLSI, Communications, and Signal Processing (VCAS)

作者： Ravat, Akhilesh Kumar Dhawan, Amit Tiwari, Manish Motilal Nehru Natl Inst Technol Dept Elect & Commun Engn Allahabad 211004 Uttar Pradesh India

ISBN: (纸本)9789813297753;9789813297746

adaptive filtering creates one of the core technologies in the field of the digital signal processing and finds various applications in the area of science and technology, viz., adaptive noise cancelation, echo cancelation, channel equalization, bio-medical signal processing, etc. The principal objective of the noise cancelation is based on elimination of noise from audio as well as ECG(Electrocardiogram) signals. In this paper, an adaptive ECG filter is introduced to reduce the noise originated by body artifacts and exterior systems. The type of noises include interference caused by power line, interference caused by other electronic equipment, noise from electrode contact, and removing of movement of patient by adaptive filter to produce best results.

关键词： Noise adaptive algorithm adaptive filter ANC LMS NLMS ECG

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adaptive Filtering of UAV Movement Parameters Based on AOA-Measurements of the Sensor Network in the Presence of Abnormal Measurements

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JOURNAL OF AEROSPACE TECHNOLOGY AND MANAGEMENT 2021年 13卷

作者： Zhuk, SeriSerhii Yakovych Tovkach, Igor Olegovych Neuimin, Oleksandr Vasyliev, Volodymyr Natl Tech Univ Ukraine Igor Sikorsky Kyiv Polytech Inst Fac Radioengn Radio Engn Devices & Syst Kiev Ukraine

The development and proliferation of small unmanned aerial vehicles (UAVs) have led to the need to create systems for tracking UAVs and monitoring their authorized activities. The presence of electromagnetic radiation makes it possible to use passive radio monitoring systems, based on wireless sensor networks, for tracking UAVs. Methods, based on angle- of-arrival (AOA) measurements, are widely used for determining the location of a radio source using wireless sensor networks. In practice, it becomes necessary to take into account the appearance of abnormal (rough) measurements, which lead to a sharp deterioration in the accuracy characteristics of Kalman filtration algorithms. In this work, to synthesize an optimal adaptive filtering algorithm, the Markov property of a mixed process was used, which includes a continuous-valued vector of UAV movement parameters and discrete parameters that characterize the type of measurements of the sensors of the sensor network. A quasi-optimal algorithm of adaptive filtering of UAV movement parameters when using AOA measurements of the sensor network was obtained using the Gaussian approximation method of the posterior probability density. Its analysis is carried out using a model example. The quasioptimal adaptive filtering algorithm allows to eliminate the uncontrolled increase of estimates errors of the UAV movement parameters and it does not require significant computational costs.

关键词： UAV movement parameters AOA measurements adaptive algorithm Abnormal measurements Wireless sensor networks

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Resilient Distributed Collection Through Information Speed Thresholds 22nd

Resilient Distributed Collection Through Information Speed T...

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22nd International Conference on Coordination Models and Languages (COORDINATION)

作者： Audrito, Giorgio Bergamini, Sergio Damiani, Ferruccio Viroli, Mirko Univ Torino Dipartimento Informat Turin Italy Alma Mater Studiorum Univ Bologna Cesena Italy

ISBN: (纸本)9783030500283;9783030500290

One of the key coordination problems in physically-deployed distributed systems, such as mobile robots, wireless sensor networks, and IoT systems in general, is to provide notions of "distributed sensing" achieved by the strict, continuous cooperation and interaction among individual devices. An archetypal operation of distributed sensing is data summarisation over a region of space, by which several higher-level problems can be addressed: counting items, measuring space, averaging environmental values, and so on. A typical coordination strategy to perform data summarisation in a peer-to-peer scenario, where devices can communicate only with a neighbourhood, is to progressively accumulate information towards one or more collector devices, though this typically exhibits problems of reactivity and fragility, especially in scenarios featuring high mobility. In this paper, we propose coordination strategies for data summarisation involving both idempotent and arithmetic aggregation operators, with the idea of controlling the minimum information propagation speed, so as to improve the reactivity to input changes. Given suitable assumptions on the network model, and under the restriction of no data loss, these algorithms achieve optimal reactivity. By empirical evaluation via simulation, accounting for various sources of volatility, and comparing to other existing implementations of data summarisation algorithms, we show that our algorithms are able to retain adequate accuracy even in high-variability scenarios where all other algorithms are significantly diverging from correct estimations.

关键词： Data aggregation adaptive algorithm Aggregate programming Computational field Gradient

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