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Opposition-Based Barebones Particle Swarm for Constrained Nonlinear Optimization Problems

MATHEMATICAL PROBLEMS IN ENGINEERING 2012年第1期2012卷 1-12页

作者： Wang, Hui Nanchang Inst Technol Sch Informat Engn Nanchang 330099 Peoples R China

This paper presents a modified barebones particle swarm optimization (OBPSO) to solve constrained nonlinear optimization problems. The proposed approach OBPSO combines barebones particle swarm optimization (BPSO) and opposition-based learning (OBL) to improve the quality of solutions. A novel boundary search strategy is used to approach the boundary between the feasible and infeasible search region. Moreover, an adaptive penalty method is employed to handle constraints. To verify the performance of OBPSO, a set of well-known constrained benchmark functions is used in the experiments. Simulation results show that our approach achieves a promising performance.

关键词： PARTICLE swarm optimization MATHEMATICAL optimization SIMULATION methods & models NONLINEAR systems computer algorithms

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Xilmass: A New Approach toward the Identification of Cross-Linked Peptides

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ANALYTICAL CHEMISTRY 2016年第20期88卷 9949-9957页

作者： Yilmaz, Sule Drepper, Friedel Hulstaert, Niels Cernic, Masa Gevaert, Kris Economou, Anastassios Warscheid, Bettina Martens, Lennart Vandermarliere, Elien VIB Med Biotechnol Ctr B-9000 Ghent Belgium Univ Ghent Dept Biochem B-9000 Ghent Belgium Univ Ghent Bioinformat Inst Ghent B-9000 Ghent Belgium Univ Freiburg Fac Biol Inst Biol 2 Dept Biochem & Funct Prote D-79104 Freiburg Germany Univ Freiburg BIOSS Ctr Biol Signaling Studies D-79104 Freiburg Germany Ctr Excellence Integrated Approaches Chem & Biol Jamova Cesta 39 Ljubljana 1000 Slovenia Univ Ljubljana Fac Med Ljubljana 1000 Slovenia KU Leuven Univ Leuven Dept Microbiol & Immunol Rega Inst Med Res Lab Mol Bacteriol B-3000 Leuven Belgium Univ Crete Inst Mol Biol & Biotechnol FoRTH Iraklion 71100 Crete Greece Univ Crete Dept Biol Iraklion 71100 Crete Greece

Chemical cross-linking coupled with mass spectrometry plays an important role in unravelling protein interactions, especially weak and transient ones. Moreover, crosS-linking complements several structural determination approaches such as cryo:EM. Although several computational approaches are available for the annotation of spectra obtained from cross-linked peptides, there remains room for improvement. Here, we present Xilmass, a novel algorithm to identify cross-linked peptides that introduces two new concepts: (i) the cross-linked peptides are represented in the search database such that the cross-linking sites are explicitly encoded, and (ii) the scoring function derived from the Andromeda algorithm was adapted to score against a theoretical tandem mass spectrometry (MS/MS) spectrum that contains the peaks from all possible fragment ions of a cross-linked peptide pair. The performance of Xilmass was evaluated against the recently published Kojak and the popular pLink algorithms on a calmodulin-plectin complex data set, as well as three additional, published: data sets. The results show that Xilmass typically had cross-linked sites and also the highest number of predicted cross-linked sites.

关键词： PEPTIDES RESEARCH CROSSLINKING (Polymerization) MASS spectrometry PROTEIN-protein interactions computer algorithms DAUGHTER ions

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FastSLAM Using Compressed Occupancy Grids

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JOURNAL OF SENSORS 2016年第7-5期2016卷 1-23页

作者： Cain, Christopher Leonessa, Alexander SEW EURODRIVE Lyman SC 29365 USA Virginia Tech Dept Mech Engn Ctr Dynam Syst Modeling & Control Blacksburg VA 24061 USA

Robotic vehicles working in unknown environments require the ability to determine their location while learning about obstacles located around them. In this paper a method of solving the SLAM problem that makes use of compressed occupancy grids is presented. The presented approach is an extension of the FastSLAM algorithm which stores a compressed form of the occupancy grid to reduce the amount of memory required to store the set of occupancy grids maintained by the particle filter. The performance of the algorithm is presented using experimental results obtained using a small inexpensive ground vehicle equipped with LiDAR, compass, and downward facing camera that provides the vehicle with visual odometry measurements. The presented results demonstrate that although with our approach the occupancy grid maintained by each particle uses only 40% of the data needed to store the uncompressed occupancy grid, we can still achieve almost identical results to the approach where each particle filter stores the full occupancy grid.

关键词： computer algorithms SLAM (Robotics) LIDAR (Optics) Laser based sensors Autonomous vehicles

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Adaptive differential quadrature element refinement analyses of fluid mechanics problems

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computer METHODS IN APPLIED MECHANICS AND ENGINEERING 1999年第1-2期180卷 47-63页

作者： Chen, CN Natl Cheng Kung Univ Dept Naval Architecture & Marine Engn Tainan Taiwan

The differential quadrature element method (DQEM) has been proposed. The element weighting coefficient matrices are generated by the differential quadrature (DQ) or generic differential quadrature (GDQ). By using the DQ or GDQ technique and the mapping procedure the governing differential or partial differential equations, the transition conditions of two adjacent elements and the boundary conditions can be discretized. The overall algebraic equation system can be obtained by assembling all of the discretized equations. This method can convert a generic engineering or scientific problem having an arbitrary domain configuration into a computer algorithm. The DQEM analysis can be carried out by the adaptive refinement procedure. The development of adaptive DQEM refinement analysis procedure for fluid mechanics problems is carried out. Numerical results are presented. (C) 1999 Elsevier Science S.A. All rights reserved.

关键词： Elements QUADRATURE transition condition Weighting coefficients Boundary conditions Coefficient Matrix Refining fluid mechanics Differential computer algorithms

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Recovery of the Nonmonotonic Altitude Profile of the Plasma Frequency Based on the Ionospheric Oblique Sounding Data

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RADIOPHYSICS AND QUANTUM ELECTRONICS 2013年第7期56卷 399-412页

作者： Mikhailov, S. Ya. Grozov, V. P. Russian Acad Sci Siberian Branch Inst Solar Terr Phys Irkutsk 664003 Russia

We propose a method and an algorithm for recovery of the nonmonotonic altitude profile of the plasma frequency using the model data on oblique sounding of a spherically layered isotropic ionosphere in the piecewise-quasiparabolic approximation of the altitude profile of the electron number density. The algorithm has been tested with a fairly complex ionosphere model allowing for the E, F-1, and F-2 layers and the E-F-1 interlayer valley. This method was used to recover the effective altitude profile of the plasma frequency at the midpoints of the Khabarovsk-Tory, Magadan-Tory, Norilsk-Tory, and Usolie-Tory paths from the experimental ionograms having a gap in the single-hop mode traces.

关键词： NONMONOTONIC logic PLASMA (Ionized gases) IONOSPHERE DATA analysis computer algorithms APPROXIMATION theory

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Reiterative median cascaded canceler for robust adaptive array processing

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2007年第2期43卷 428-442页

作者： Picciolo, Michael L. Gerlach, Karl SAIC AMO Chantilly VA 20151 USA USN Res Lab Washington DC 20375 USA

A new robust adaptive processor based on reiterative application of the median cascaded canceler (MCC) is presented and called the reiterative median cascaded canceler (RMCC). It is shown that the RMCC processor is a robust replacement for the sample matrix inversion (SMI) adaptive processor and for its equivalent implementations. The MCC, though a robust adaptive processor, has a convergence rate that is dependent on the rank of the input interference-plus-noise covariance matrix for a given number of adaptive degrees of freedom (DOF), N. In contrast, the RMCC, using identical training data as the MCC, exhibits the highly desirable combination of: 1) convergence-robustness to outliers/targets in adaptive weight training data, like the MCC, and 2) fast convergence performance that is independent of the input interference-plus-noise covariance matrix, unlike the MCC. For a number of representative examples, the RMCC is shown to converge using similar to 2.8N samples for any interference rank value as compared with similar to 2N samples for the SMI algorithm. However, the SMI algorithm requires considerably more samples to converge in the presence of outliers/targets, whereas the RMCC does not. Both simulated data as well as measured airborne radar data from the multichannel airborne radar measurements (MCARM) space-time adaptive processing (STAP) database are used to illustrate performance improvements over SMI methods.

关键词： STOCHASTIC convergence ADAPTIVE control systems computer algorithms ARRAY processors ELECTROMAGNETIC interference SIGNAL processing FEEDBACK (Electronics) MATRICES NOISE

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Optimal Structure of Learning-Type Set-Point in Various Set-Point-Related Indirect ILC algorithms

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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2011年第23期50卷 13427-13434页

作者： Wang, Youqing Tuo, Jianyong Zhao, Zhong Gao, Furong Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing Peoples R China Hong Kong Univ Sci & Technol Dept Chem & Biomol Engn Kowloon Hong Kong Peoples R China

According to the literature statistics, only less than 10% of reported iterative learning control (ILC) methods have been devoted to the indirect approach. Motivated by the full potential of research opportunities in this field, a number of studies on Indirect MC were proposed recently, where ILC-based P-type control and learning-type model predictive control (L-MPC) are two successful stories. All indirect ILC algorithms consist of two loops: an ILC in the outer loop and a local controller in the inner loop. The local controllers are, respectively, a P-type controller in the ILC-based P-type control and a model predictive control (***) in the ***. Logically, this leads to the question of what type of ILC should be chosen respectively for the two above-mentioned indirect ILC methods. In this study, P-type ILC and anticipatory P-type (A-P-type) ILC are studied and compared, because they are typical and widely implemented. Based on mathematical analysis and simulation test, it has been proved that the A-P-type ILC should be used in the ILC-based P-type control and while the P-type ILC should be used in the L-MPC. Furthermore, an improved L-MPC with batch-varying learning gain was proposed to handle the trade-off between convergence rate and robustness performance. The simulation results on injection molding process and a nonlinear batch process validated the feasibility and effectiveness of the proposed algorithm.

关键词： STRUCTURAL optimization computer algorithms PREDICTIVE control ROBUST control SIMULATION methods & models MATHEMATICAL analysis BATCH processing INFORMATION retrieval

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Analytical and numerical study of a smart sliding base isolation system for seismic protection of buildings

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computer-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 2003年第1期18卷 19-30页

作者： Madden, GJ Wongprasert, N Symans, MD Rensselaer Polytech Inst Dept Civil & Environm Engn Troy NY 12180 USA Colin Gordon & Associates San Bruno CA 94066 USA Degenkolb Consulting Struct Engineers Portland OR 97204 USA

The seismic response of a single-story steel building frame with a smart base isolation system is evaluated. The isolation system consists of sliding bearings combined with an adaptive fluid damper. The damping capacity of the fluid damper can be modulated in real time based on feedback from the earthquake ground motion and superstructure response. The adaptive capabilities of the fluid damper enable the isolation system displacement to be controlled while simultaneously limiting the interstory drift response of the superstructure. This paper concentrates on the development of analytical models of the smart isolation system and control algorithms for operation of the system. In general, the results from numerical simulations demonstrate that, for disparate earthquake ground motions, the smart isolation system is capable of simultaneously limiting both the response of the isolation system and the superstructure.

关键词： seismic response Damping capacity ANALYSIS MODELS DAMPER Ground motion base isolation Superstructures Earthquakes Buildings computer algorithms SLIDE BEARING isolation system

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Improved predictive current control for unbalanced stand-alone doubly-fed induction generator-based wind power systems

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IET ELECTRIC POWER APPLICATIONS 2011年第3期5卷 275-287页

作者： Phan, V. -T. Lee, H. -H. 7 409 Univ Ulsan Sch Elect Engn Ulsan 680749 South Korea

This study proposes an improved predictive current control (PCC) strategy for unbalanced stand-alone doubly-fed induction generator (DFIG)-based wind power systems. The proposed control scheme predicts an appropriate average rotor voltage vector in next switching period to eliminate the rotor current errors in the following control period. The identified voltage vector sequence is then applied to the rotor-side converter (RSC) by using space-vector modulation with constant switching frequency. To increase the control accuracy, a proposed compensation method for the control time delay inherent in the digital implementation, mainly due to the sampling and calculation processes, is adopted. The whole control algorithm is performed in the RSC to achieve the desired control output, that is, compensation for the stator voltage imbalance. In addition, the effect of parameter variation on the performance of the control scheme is also considered. The proposed PCC method was tested by both simulations and experiments with 2.2 kW DFIG feeding an unbalanced load to demonstrate the excellent steady-state performance as well as the extremely fast dynamic response of the proposed current controller.

关键词： doubly-fed Radar Scan Converter steady-state performance parameter variation computer algorithms Wind energy stand-alone data recorder compensation method control accuracy control period wind power system Current control voltage vector unbalanced load Induction generators

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Sliding mode pulse-width modulation technique for direct torque controlled induction motor drive

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EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS 2010年第2期50卷 21102:1-21102:8页

作者： Bounadja, M. Belarbi, A. W. Belmadani, B. Univ Chlef Dept Electrotech Hay Salem Chlef 02000 Algeria Univ Sci & Technol Oran Fac Genie Elect El Mnaouer 31000 Oran Algeria

This paper presents a novel pulse-width modulation technique based sliding mode approach for direct torque control of an induction machine drive. Methodology begins with a sliding mode control of machine's torque and stator flux to generate the reference voltage vector and to reduce parameters sensitivity. Then, the switching control of the three-phase inverter is developed using sliding mode concept to make the system tracking reference voltage inputs. The main features of the proposed methodologies are the high tracking accuracy and the much easier implementation compared to the space vector modulation. Simulations are carried out to confirm the effectiveness of proposed control algorithms.

关键词： modulation technique induction induction motor drives Sliding mode tracking accuracy width modulation direct torque control induction PULSE WIDTH computer algorithms Torque Technology stator flux three-phase inverter voltage reference

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