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Global OCEANS Singapore - U.S. Gulf Coast Conference

作者： Ling, Qing Yang, Chaoran Yu, Yun Liu, Ting Sheng, Xueli PLA Beijing Naval Res Acad Beijing Peoples R China Harbin Engn Univ Minist Ind & Informat Acoust Sci & Technol Lab Harbin Peoples R China Harbin Engn Univ Minist Ind & Informat Key Lab Marine Informat Acquisit & Secur Harbin Peoples R China Harbin Engn Univ Coll Underwater Acoust Engn Harbin Peoples R China

ISBN: (纸本)9781728154466

In this paper, a sparse array signal processing algorithm using iterative optimization strategy is proposed to select an optimal sparse-aperiodic subarray in an existing fixed array. The algorithm is based on an Improved Genetic algorithm (IGA) that simultaneously adjusts the inter-senor spacing of a conformal array with arbitrary geometrical configuration. A novel crossover method is developed to improve the convergence performance. The proposed method can achieve lower Peak Sidelobe Level (PSL) using fewer sensors and thereby reduce redundancy. The robustness of the algorithm is also tested using multiple independent simulations.

关键词： iterative optimization algorithm robust sparse array conformal vector array

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Robust stability analysis and controller synthesis for uncertain impulsive positive systems under L1-gain performance

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ISA TRANSACTIONS 2019年 93卷 55-69页

作者： Zhu, Baolong Zhang, Jie Suo, Mingliang Chen, Liangming Zhang, Yanquan Li, Shunli Qilu Univ Technol Sch Elect Engn & Automat Shandong Acad Sci Jinan 250353 Shandong Peoples R China Shandong Univ Dept Nutr Shandong Prov Hosp Jinan 250021 Shandong Peoples R China Shandong Univ Sch Publ Hlth Dept Biostat Jinan 250012 Shandong Peoples R China Beihang Univ Sch Reliabil & Syst Engn Beijing 100191 Peoples R China Harbin Inst Technol Sch Astronaut Harbin 150001 Heilongjiang Peoples R China

This paper addresses the problems of robust stability analysis and L-1-gain controller synthesis for uncertain impulsive positive systems. First, by employing the idea of impulse interval partitioning, an impulse-time-dependent discretized copositive Lyapunov function is proposed to analyze the robust stability and L-1-gain performance of the considered system without control inputs, and several stability conditions and L-1-gain criteria are respectively derived. Subsequently, a sufficient condition is formulated for the existence of state-feedback controllers with which not only the positivity and robust uniform asymptotic stability of the resulting closed-loop system are guaranteed, but also a prescribed L-1-gain performance is satisfied simultaneously. Furthermore, to make the controller synthesis problem numerically tractable, we propose an iterative convex optimization algorithm to compute the desired controller parameters. Finally, three numerical examples and two realistic examples are presented to show the effectiveness and applicability of the proposed methodology. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Impulsive systems Positive systems Robust stability Stabilization Interval uncertainty L-1-gain iterative optimization algorithm

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Robust cognitive transmit waveform and receive filter design for airborne MIMO radar in signal-dependent clutter environment

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DIGITAL SIGNAL PROCESSING 2020年 101卷 102709-000页

作者： Zhou, Qingsong Li, Zhihui Shi, Junpeng Mao, Yunxiang Natl Univ Def Technol Hefei 230037 Peoples R China

This paper investigates the robust cognitive joint design of transmit waveform and receive filter to improve the system performance of airborne multiple-input multiple-output (MIMO) radar. Considering the target Doppler frequency and spatial cone angle uncertainties are present, we formulate the averaged signal-to-clutter-plus-noise ratio (SCNR) as the optimization goal. Specifically, the averaged SCNR is maximized under only constant modulus constraint and that under constant modulus and similarity constraints. Four iterative optimization algorithms are developed to deal with the joint design problem. The first kind of iterative optimization algorithm is based on semidefinite programming (SDP) relaxation and randomization or rank-one decomposition techniques. The second kind of computational efficient iterative optimization algorithm utilizes the fractional programming and power method-like iteration. The proposed algorithms can achieve a monotonic output SCNR enhancement and are robust against the inaccuracies of target parameters. Several simulations results are implemented to validate the superiority of the proposed algorithms considering the output SCNR, space-time beampattern and computational complexity. (C) 2020 Elsevier Inc. All rights reserved.

关键词： Airborne multiple-input multiple-output radar Transmit waveform and receive filter Constant modulus Similarity constraint iterative optimization algorithm

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Probability Calculation and Element optimization of Probabilistic Hesitant Fuzzy Preference Relations Based on Expected Consistency

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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2018年第3期26卷 1367-1378页

作者： Zhou, Wei Xu, Zeshui Yunnan Univ Finance & Econ Sch Finance Kunming 650221 Yunnan Peoples R China Sichuan Univ Business Sch Chengdu 610064 Sichuan Peoples R China

As a generalized fuzzy number, the hesitant fuzzy element (HFE) has received increasing attention. However, it is noted that the occurring probabilities of the elements in the HFE are equal, which is obviously problematic;thus, the preference relations on the HFEs can be inaccurate. To address this issue, this paper proposes the probabilistic hesitant fuzzy preference relations (PHFPRs) based on the probabilistic HFE (PHFE). It seems difficult to provide accurate probabilities that describe the occurring possibilities of the elements in the PHFPRs. This paper further demonstrates the probability calculation method for the PHFPEs based on a proposed variable, which is called the expected consistency. Moreover, the expected consistency index and the judgment principle are designed to evaluate the degree to which the PHFPRs are consistent. For the inconsistent PHFPRs, this paper presents an iterative optimization algorithm to improve their expected consistency by optimizing some elements in the PHFPRs. When the iteration terminates, the consistent PHFPRs and the priorities of the alternatives are identified. Finally, an example that selects a Ph. D. candidate is presented, and the results demonstrate the feasibility and effectiveness of using the PHFPRs and the consistency methods.

关键词： Element optimization expected consistency iterative optimization algorithm probability calculation probabilistic hesitant fuzzy preference relations (PHFPRs)

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SMT-Based Timing Analysis and Verification of Real-Time Task 42

SMT-Based Timing Analysis and Verification of Real-Time Task

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42nd Annual IEEE-Computer-Society Computers, Software and Applications (COMPSAC) Conference - Staying Smarter in a Smartening World

作者： Xing, Hai-feng Zhou, Jian-tao Song, Xiaoyu Qi, Rui-dong Inner Mongolia Univ Coll Comp Sci Hohhot Peoples R China Portland State Univ Elect & Comp Engn Portland OR 97207 USA

ISBN: (纸本)9781538626672

Timing analysis plays an important role in embedded real-time system design. And the cache hit/miss behavior analysis is a key problem in timing analysis, especially difficult in the sharing caches among multiple cores. The combination of Abstraction Interpretation (AI) and Satisfiability Modulo Theories (SMT) methods are used in timing analysis. SMT based on the rigorous first-order logic has both computational and analytical capabilities, thus the usage of SMT in timing analysis can more effectively relieve the pressure of AI. However, the existing methods do not solve the problem of behavior analysis of shared instruction caches, and do not complete the computation of upper bounds on the execution time of tasks. In this paper, we adopt AI to complete the refined hit/miss classification of instructions accessing the shared instruction cache, employ SMT to complete the difficult work of behavior analysis of shared instruction cache, and explore an iteration optimization algorithm of logarithmic order to compute the results. From the experiments, our approach can accurately predict the upper bounds on the execution time.

关键词： timing analysis SMT upper bounds on the execution time hit/miss classification iterative optimization algorithm

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Full Dynamic Compound Inverse Method: Extension to General and Rayleigh damping

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COMPUTATIONAL MECHANICS 2017年第4期59卷 539-553页

作者： Pioldi, Fabio Rizzi, Egidio Univ Bergamo Dipartimento Ingn & Sci Appl Viale G Marconi 5 I-24044 Dalmine BG Italy

The present paper takes from the original outputonly identification approach named Full Dynamic Compound Inverse Method (FDCIM), recently published on this journal by the authors, and proposes an innovative, much enhanced version, in the description of more general forms of structural damping, including for classically adopted Rayleigh damping. This has led to an extended FDCIM formulation, which offers superior performance, on all the targeted identification parameters, namely: modal properties, Rayleigh damping coefficients, structural features at the element-level and input seismic excitation time history. Synthetic earthquake-induced structural response signals are adopted as input channels for the FDCIM approach, towards comparison and validation. The identification algorithm is run first on a benchmark 3-storey shear-type frame, and then on a realistic 10-storey frame, also by considering noise added to the response signals. Consistency of the identification results is demonstrated, with definite superiority of this latter FDCIM proposal.

关键词： Full Dynamic Compound Inverse Method (FDCIM) iterative optimization algorithm Structural and modal dynamic identification Element-level system identification Estimated unknown seismic input

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Local PurTree Spectral Clustering for Massive Customer Transaction Data

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IEEE INTELLIGENT SYSTEMS 2017年第2期32卷 37-44页

作者： Chen, Xiaojun Peng, Si Huang, Joshua Zhexue Nie, Feiping Ming, Yong Shenzhen Univ Coll Comp Sci & Software Shenzhen Peoples R China

The clustering of customer transaction data is very important to retail and e-commerce companies. The authors propose a local PurTree spectral clustering algorithm for massive customer transaction data that uses a purchase tree to represent customer transaction data and a PurTree distance to compute the distance between two trees. The new method learns a data similarity matrix from the local distances and the level weights in the PurTree distance simultaneously. An iterative optimization algorithm is proposed to optimize the proposed model. The authors conducted experiments to compare their method with four commonly used clustering method for transaction data on six real-life datasets. The experimental results show that the new method outperformed other clustering algorithms.

关键词： Spectral clustering Clustering algorithms optimization Big Data Sparse matrices Data mining Genetic algorithms INSPEC: Controlled Indexing consumer behaviour iterative methods marketing data processing matrix algebra optimisation pattern clustering purchasing transaction processing trees (mathematics) INSPEC: Non-Controlled Indexing local PurTree spectral clustering massive customer transaction data purchase tree data similarity matrix local distances PurTree distance level weights iterative optimization algorithm customer purchase behaviors Author Keywords data mining customer segmentation transaction data spectral clustering intelligent systems

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A Full Dynamic Compound Inverse Method for output-only element-level system identification and input estimation from earthquake response signals

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COMPUTATIONAL MECHANICS 2016年第2期58卷 307-327页

作者： Pioldi, Fabio Rizzi, Egidio Univ Bergamo Dipartimento Ingn & Sci Appl Viale G Marconi 5 I-24044 Dalmine BG Italy

This paper proposes a new output-only element-level system identification and input estimation technique, towards the simultaneous identification of modal parameters, input excitation time history and structural features at the element-level by adopting earthquake-induced structural response signals. The method, named Full Dynamic Compound Inverse Method (FDCIM), releases strong assumptions of earlier element-level techniques, by working with a two-stage iterative algorithm. Jointly, a Statistical Average technique, a modification process and a parameter projection strategy are adopted at each stage to achieve stronger convergence for the identified estimates. The proposed method works in a deterministic way and is completely developed in State-Space form. Further, it does not require continuous- to discrete-time transformations and does not depend on initialization conditions. Synthetic earthquake-induced response signals from different shear-type buildings are generated to validate the implemented procedure, also with noise-corrupted cases. The achieved results provide a necessary condition to demonstrate the effectiveness of the proposed identification method.

关键词： Structural identification iterative optimization algorithm Modal dynamic identification Estimated unknown seismic input Element-level system identification

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High precision pointing system based on Risley prism: analysis and simulation 20

High precision pointing system based on Risley prism: analys...

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20th International Symposium on High Power Laser Systems and Applications (HPLS and A)

作者： Li, Jin-ying Peng, Qi Chen, Ke Fu, Cheng-yu Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China

ISBN: (纸本)9781628413229

This paper presents the key issues for high precision pointing system using Risley prism. An iterative optimization algorithm is proposed to solve the inverse problem of Risley Prism and anti-achromatic Risley Prism. Different error sources, particularly Risley prism's rotation errors and rotation axis jitters are considered. Error propagation formula between pointing accuracy and rotation position is deduced. Finally, a beam steering simulation system including target position creating module, Risley Prism inverse solution module, Risley Prism rotation control module and beam pointing module is established. The simulation results show that it can achieve better than 1 arcsec pointing accuracy.

关键词： Risley Prism inverse problem iterative optimization algorithm rotation axis jitters rotation errors beam pointing beam steering ray tracing

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Distributed Interference-Aware Energy-Efficient Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

Distributed Interference-Aware Energy-Efficient Resource All...

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IEEE Global Communications Conference

作者： Zhenyu Zhou Mianxiong Dong Kaoru Ota Jun Wu Takuro Sato State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University National Institute of Information and Communications Technology Department of Information and Electric Engineering Muroran Institute of Technology School of Information Security Engineering Shanghai Jiao Tong University Graduate School of Global Information and Telecommunication Studies Waseda University

ISBN: (纸本)9781479935130

The introduction of device-to-device (D2D) into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of user equipments (UEs). In this paper, we propose a distributed interference-aware energy-efficient resource allocation algorithm to maximize each UE's energy efficiency (EE) subject to its specific quality of service (QoS) and maximum transmission power constraints. We model the resource allocation problem as a noncooperative game, in which each player is self-interested and wants to maximize its own EE. The formulated EE maximization problem is a non-convex problem and is transformed into a convex optimization problem by exploiting the properties of the nonlinear fractional programming. An iterative optimization algorithm is proposed and verified through computer simulations.

关键词： cellular radio cochannel interference concave programming convex programming energy conservation iterative methods quality of service resource allocation D2D communication EE maximization problem QoS UE convex optimization problem device-to-device communication distributed interference-aware energy-efficient resource allocation iterative optimization algorithm nonconvex problem noncooperative game nonlinear fractional programming spectrum reuse transmission power constraint underlaying cellular network user equipment Games Interference optimization Quality of service Receivers Resource management Transmitters

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