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IEEE Latin-America Conference on Communications LATINCOM

作者： Schlosser, Edson R. Heckler, Marcos V. T. Pereira, Lucas S. Farias, Roger L. UNIPAMPA Univ Fed Pampa Grp Pesquisa Sistemas Eletron Alegrete Brazil

ISBN: (纸本)9781479971626

This paper presents the application of optimization methods for the synthesis of antenna arrays. The desired pattern shall exhibit a shape that allows uniform distribution of the radiated power on the Earth. Besides beamshaping, the optimization methods allow controlling the level of the sidelobes. The synthesis technique is used to calculate the excitation coefficients for arrays composed of cavity-backed circularly polarized annular slot antennas.

关键词： antenna arrays circularly polarized annular antenna beamshaping genetic algorithm sequential quadratic programming

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Optimization of Switched-Beam Arrays for Communication Systems 11

Optimization of Switched-Beam Arrays for Communication Syste...

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11th IEEE International Symposium on Wireless Communications Systems (ISWCS)

作者： Schlosser, Edson R. Farias, Roger L. Heckler, Marcos V. T. Machado, Renato Univ Fed Pampa UNIPAMPA Alegrete Brazil Blekinge Inst Technol Karlskrona Sweden Univ Fed Santa Maria BR-97119900 Santa Maria RS Brazil

ISBN: (纸本)9781479958634

This paper presents the application of optimization methods for the synthesis of a linear array for communication systems. By means of suitably beam switching, the array should provide coverage of a given angular area in azimuth and should allow controlling the sidelobe level simultaneously. For this purpose, two optimization methods have been used to calculate the excitation coefficient for each desired beam. The synthesis technique is demonstrated for arrays composed of isotropic and microstrip elements. By comparing the results obtained for both arrays, the need of consideration of the array element pattern during the synthesis process is demonstrated.

关键词： antenna arrays microstrip antennas beamforming genetic algorithm sequential quadratic programming

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Modelling and optimization of residential heating system using Random Neural Networks

Modelling and optimization of residential heating system usi...

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IEEE International Conference on Control Science and Systems Engineering (CCSSE)

作者： Javed, Abbas Larijani, Hadi Ahmadinia, Ali Emmanuel, Rohinton Glasgow Caledonian Univ Sch Engn & Built Environm Glasgow Lanark Scotland

ISBN: (纸本)9781479963973

In this paper, a novel random neural network (RNN) model based optimization process for radiator-based heating system is proposed to maintain a comfortable indoor environment in a living room of a single storey residential building. The predictive model of the living room is developed by training a feed forward RNN and then optimisation algorithms are used to calculate the optimal flowrate for the radiators. Three optimisation algorithms: Genetic Algorithm (GA), Particle swarm optimization (PSO) algorithm, and sequential quadratic programming (SQP) optimization algorithm are investigated to calculate the optimal control input. The accuracy of the control scheme is verified by simulations using International Building Physics Toolbox (IBPT). It was found that mean squared error (MSE) for PSO is 38.87% less than GA and the MSE for PSO is 21.19% less than SQP. The RNN model based optimization technique is further compared with model predictive controller (MPC) designed for the radiator based heating system. The comparison results showed that the proposed RNN technique minimize the energy consumption and maintains accurate room thermal comfort according to the predicted mean vote (PMV) based setpoints.

关键词： Random neural networks Particle Swarm Optimization Genetic Algorithm sequential quadratic programming

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A Factor Graph Approach to Estimation and Model Predictive Control on Unmanned Aerial Vehicles

A Factor Graph Approach to Estimation and Model Predictive C...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Ta, Duy-Nguyen Kobilarov, Marin Dellaert, Frank Georgia Inst Technol Inst Robot & Intelligent Machines Atlanta GA 30332 USA Johns Hopkins Univ Lab Computat Sensing & Robot Baltimore MD 21218 USA

ISBN: (纸本)9781479923762

In this paper, we present a factor graph framework to solve both estimation and deterministic optimal control problems, and apply it to an obstacle avoidance task on Unmanned Aerial Vehicles (UAVs). We show that factor graphs allow us to consistently use the same optimization method, system dynamics, uncertainty models and other internal and external parameters, which potentially improves the UAV performance as a whole. To this end, we extended the modeling capabilities of factor graphs to represent nonlinear dynamics using constraint factors. For inference, we reformulate sequential quadratic programming as an optimization algorithm on a factor graph with nonlinear constraints. We demonstrate our framework on a simulated quadrotor in an obstacle avoidance application.

关键词： Factor Graph Unmanned Aerial Vehicle drone honey bees Obstacle avoidance vehicle factor A Line graph nonlinear constraint Optimization algorithms Collision avoidance sequential quadratic programming Model predictive control Predictive control Nonlinear Dynamics

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Unequally Pulsed Arrays for High Resolution Scanning and Low Side Lobe Level

Unequally Pulsed Arrays for High Resolution Scanning and Low...

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IEEE Antennas-and-Propagation-Society International Symposium (APSURSI)

作者： Reyna, Alberto Panduro, Marco A. Univ Autonoma Tamaulipas UAMRR Reynosa Tamaulipas Mexico

ISBN: (纸本)9781479935406

this article reports the unequally pulsed antenna arrays for an optimum scannable energy pattern. The study is based on the synthesis of unequally antenna positions. The synthesis process is carried out by the well-known sequential quadratic programming. Theoretical results show the performance of the unequally pulsed antenna arrays for a high resolution scanning with low side lobe level.

关键词： Time domain antenna arrays unequally pulsed arrays energy pattern sequential quadratic programming

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sequential quadratic programming based on IPM for Constrained Nonlinear programming

Sequential Quadratic Programming based on IPM for Constraine...

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8th International Conference on Intelligent Systems Design and Applications (ISDA 2008)

作者： Liang, Ximing Bashir, Hassan A. Li, Shanchun Cent S Univ Sch Informat Sci & Engn Changsha 410083 Hunan Peoples R China

ISBN: (纸本)9780769533827

The field of constrained nonlinear programming (NLP) has been principally challenging to various gradient based optimization techniques. The sequential quadratic programming algorithm (SQP) that uses active set strategy in solving quadratic programming (QP) subproblems proves to be efficient in locating the points of local optima. However, its efficient determination of the optimal active set heavily relies on the initial guess of the starting point. This remains a serious drawback to both primal and dual active set approaches especially for NLPs with several inequality constraints. Thus, we propose a sequential quadratic programming algorithm (SQP/IPM) which uses an infeasible interior point method (IIPM) for the determination of descent directions. We propose using quadratic search algorithm for effective minimization of merit functions. Our test results reveal that SQP/IPM algorithm is efficient and promising.

关键词： sequential quadratic programming Active set strategy quadratic programming subproblem Infeasible interior point method quadratic search

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Structural Optimization of Cylinder-crown Integrated Hydraulic Press with Hemispherical Hydraulic Cylinder

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Procedia Engineering 2014年 81卷 1663-1668页

作者： Weiwei Zhang Xiaosong Wang Zongren Wang Shijian Yuan School of Materials Science and Engineering Harbin Institute of Technology Harbin 150090 China

Cylinder-crown integrated hydraulic press is an innovative press. The hemispherical hydraulic cylinder also functions as a main portion of crown. Compared with the conventional hydraulic press in which cylinder mounted in the crown, the thickness of hemispherical hydraulic cylinder could be much thinner and the crown section modulus could be much higher under the same application condition. As a result, the material strength capacity is better utilized. Based on sequential quadratic programming, structural optimization of hemispherical hydraulic cylinder for weight reduction has been carried out within the range of constraints including strength and stiffness conditions. Compared with the initial design, a lighter structure with weight reduction 7% and acceptable stress distribution has been obtained. Considering the advantages of cylinder-crown integrated hydraulic press, according to its optimization design, a 6300KN prototype hydraulic press has been manufactured.

关键词： Cylinder-crown integrated hydraulic press Optimization design sequential quadratic programming

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Research on Parameter Identification Method Based on Finite Measurement Information for Photovoltaic Array Model 33

Research on Parameter Identification Method Based on Finite ...

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33rd Chinese Control Conference (CCC)

作者： Li Zongjian Chen Yuling Fang Weichao Zhang Zhengjiang Zeng Guoqiang Dai Yuxing Wenzhou Univ Coll Phys & Elect Informat Engn Wenzhou 325035 Peoples R China

ISBN: (纸本)9781479947249

The photovoltaic array is a main part of photovoltaic generation system. It is significant to research on the exact model for the purposes of control and optimization in the entire photovoltaic power generation system. Based on the existing model of photovoltaic array, a parameter identification method is proposed, which makes use of finite measurement information to estimate the parameters of a photovoltaic array model. A parameter identification problem is constructed for the photovoltaic array model, and a sequential quadratic programming method for the problem is introduced. This method can make the mathematical model be consistent with the actual object. In the numerical simulations and experiments, the photovoltaic battery plate temperature and light intensity are treated as unknown parameters, and then parameter identification problem is constructed and solved by using the output current and voltage measurement information of the actual photovoltaic system with different conditions. The identification of the unknown parameters is achieved and the minimum deviations between outputs of the identified model and actual measurement information are obtained. The effectiveness of the proposed method can be demonstrated by the results of numerical simulations and experiments.

关键词： photovoltaic array mathematical model parameter identification sequential quadratic programming

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A new superlinearly convergent strongly subfeasible sequential quadratic programming algorithm for inequality-constrained optimization

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NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION 2008年第3-4期29卷 376-409页

作者： Jian, Jin-Bao Tang, Chun-Ming Hu, Qing-Jie Zheng, Hai-Yan Shanghai Univ Coll Sci Shanghai Peoples R China Guangxi Univ Coll Math & Informat Sci Nanning 530004 Peoples R China Hunan Business Coll Dept Informat Changsha Hunan Peoples R China

Combining the ideas of generalized projection and the strongly subfeasible sequential quadratic programming (SQP) method, we present a new strongly subfeasible SQP algorithm for nonlinearly inequality-constrained optimization problems. The algorithm, in which a new unified step-length search of Armijo type is introduced, starting from an arbitrary initial point, produces a feasible point after a finite number of iterations and from then on becomes a feasible descent SQP algorithm. At each iteration, only one quadratic program needs to be solved, and two correctional directions are obtained simply by explicit formulas that contain the same inverse matrix. Furthermore, the global and superlinear convergence results are proved under mild assumptions without strict complementarity conditions. Finally, some preliminary numerical results show that the proposed algorithm is stable and promising.

关键词： generalized projection optimization sequential quadratic programming strongly subfeasible superlinear convergence

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Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems

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COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2008年第33-40期197卷 3080-3091页

作者： Fesanghary, M. Mahdavi, M. Minary-Jolandan, M. Alizadeh, Y. Amir Kabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Sharif Univ Technol Dept Comp Engn Tehran 113658639 Iran Univ Illinois Dept Mech Sci & Engn Urbana IL 61801 USA

This study presents a hybrid harmony search algorithm (HHSA) to solve engineering optimization problems with continuous design variables. Although the harmony search algorithm (HSA) has proven its ability of finding near global regions within a reasonable time, it is comparatively inefficient in performing local search. In this study sequential quadratic programming (SQP) is employed to speed up local search and improve precision of the HSA solutions. Moreover, an empirical study is performed in order to determine the impact of various parameters of the HSA on convergence behavior. Various benchmark engineering optimization problems are used to illustrate the effectiveness and robustness of the proposed algorithm. Numerical results reveal that the proposed hybrid algorithm, in most cases is more effective than the HSA and other meta-heuristic or deterministic methods. (C) 2008 Elsevier B.V. All rights reserved.

关键词： heuristic harmony search algorithm hybridization sequential quadratic programming engineering optimization

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