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21st IFAC World Congress on Automatic Control - Meeting Societal Challenges

作者： Fahdzyana, C. A. Donkers, M. C. F. Hofman, T. Eindhoven Univ Technol Eindhoven Netherlands

For systems with nonlinear dynamics, Dynamic programming for control is commonly considered in the framework of integrated plant and control system design. Despite its popularity, this control strategy can run into some computational issues as the performance is dependent on the state and input discretization. In this paper, we propose a sequential quadratic programming-based control optimization strategy for integrated system design, where both the plant and control are optimized for the case study of a continuously variable transmission. The proposed plant and control design problem will be solved using a nested strategy. Copyright (C) 2020 The Authors.

关键词： Multi-objective optimization optimization optimal control co-design sequential quadratic programming

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Research on thrust optimization of double pods ship based on sequential quadratic programming 13

Research on thrust optimization of double pods ship based on...

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13th World Congress on Intelligent Control and Automation (WCICA)

作者： Piao, Zaiji Guo, Chen Dalian Maritime Univ Sch Marine Elect Engn Dalian Peoples R China

ISBN: (纸本)9781538673454

In view of the particularity of ship's double pods propulsion mode, a mathematical model of ship motion is set up. In order to make the double pods more coordinated and promote the desired purpose of ships, the objective function and inequality constraint conditions based on the optimal energy consumption are put forward based on sequential quadratic programming. Combined with the real ship data, the simulation of the thrust optimization system is carried out in MATLAB, and the effectiveness of the control strategy is verified.

关键词： pod MMG ship model sequential quadratic programming thrust optimization

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Bio-inspired algorithm integrated with sequential quadratic programming to analyze the dynamics of hepatitis B virus

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Beni-Suef University Journal of Basic and Applied Sciences 2024年第1期13卷 1-23页

作者： Shoaib, Muhammad Tabassum, Rafia Raja, Muhammad Asif Zahoor Nisar, Kottakkaran Sooppy AI Center Yuan Ze University Department of Mathematics COMSATS University Islamabad Attock Campus Future Technology Research Center National Yunlin University of Science and Technology Department of Mathematics College of Science and Humanities in Alkharj Prince Sattam bin Abdulaziz University

Background: There are a variety of lethal infectious diseases that are seriously affecting people's lives worldwide, particularly in developing countries. Hepatitis B, a fatal liver disease, is a contagious disease spreading globally. In this paper, a new hybrid approach of feed forward neural networks is considered to investigate aspects of the SEACTR (susceptible, exposed, acutely infected, chronically infected, treated, and recovered) transmission model of hepatitis B virus disease (HBVD). The combination of genetic algorithms and sequential quadratic programming, namely CGASQP, is applied, where genetic algorithm (GA) is used as the main optimization algorithm and sequential quadratic programming (SQP) is used as a fast-searching algorithm to fine-tune the outcomes obtained by GA. Considering the nature of HBVD, the whole population is divided into six compartments. An activation function based on mean square errors (MSEs) is constructed for the best performance of CGASQP using proposed model. Results: The solution's confidence is boosted through comparative analysis with reference to the Adam numerical approach. The results revealed that approximated results of CGASQP overlapped the reference approach up to 3–9 decimal places. The convergence, resilience, and stability characteristics are explored through mean absolute deviation (MAD), Theil’s coefficient (TIC), and root mean square error (RMSE), as well as minimum, semi-interquartile range, and median values with respect to time for the nonlinear proposed model. Most of these values lie around 10⁻¹⁰–10⁻⁴ for all classes of the model. Conclusion: The results are extremely encouraging and indicate that the CGASQP framework is very effective and highly feasible for implementation. In addition to excellent reliability and level of precision, the developed CGASQP technique also stands out for its simplicity, wider applicability, and flexibility. © The Author(s) 2024.

关键词： Adam method Artificial neural networks Genetic algorithm Hepatitis B virus Hybrid approach SEACTR model sequential quadratic programming

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Path Planning for Unmanned Surface Vehicle based on genetic algorithm and sequential quadratic programming

Path Planning for Unmanned Surface Vehicle based on genetic ...

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Chinese Automation Congress (CAC)

作者： Zhuang, Yufei Wang, Cheng Huang, Haibin Harbin Inst Technol Sch Informat Sci & Engn Weihai Peoples R China Harbin Inst Technol Sch Astronaut Harbin Peoples R China

ISBN: (纸本)9781728176871

Path planning and obstacle avoidance of Unmanned Surface Vehicle (USV) is one of the hottest research topics in modern national defense and ocean engineering. Considering the issue of obstacle-free path planning of USV, this paper focuses on a 3-DoF USV and develops an algorithm design. We adopt Gauss pseudo-spectral method to discretize control model and make use of a hybrid algorithm to optimize which combines the advantage of genetic algorithm and sequential quadratic programming algorithm. Simulation results show that this method can quickly explore a high-precision route in an unknown environment which meets the mobility requirement of USV without setting the initial value artificially.

关键词： Unnumned Surface Vehicle ((IS t) path planning genetic algorithm sequential quadratic programming

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Patch Antenna Design with Improved sequential quadratic programming for Automotive Applications

Patch Antenna Design with Improved Sequential Quadratic Prog...

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Asia-Pacific Microwave Conference (APMC)

作者： Chang, Wanli Lukasiewycz, Martin Chakraborty, Samarjit TUM CREATE Ctr Electromobil Singapore Singapore Tech Univ Munich Munich Germany

ISBN: (纸本)9780858259744

This paper proposes a novel methodology to automate the design process of patch antennas using Improved sequential quadratic programming (ISQP). Patch antennas are widely used in the automotive domain and are a key enabler of car- to- car and car- to- infrastructure communication. Although simulation tools have been improved in term of accuracy, a manual design process still takes a lot of time as well as computational efforts and relies to a large extent on human experience. In this paper, a fully automatic approach is presented and two major challenges are solved inherently. First, the conversion of a multi-objective problem into a single- objective problem is performed appropriately such that can be handled by classic sequential quadratic programming (SQP). Second, the problem of being trapped in local optima is solved by a sophisticated exploration of the search space. Compared to other automation methods, our proposed methodology is fast, produces excellent results, needs limited computational efforts, no longer requires relevant domain knowledge, and is applicable to other types of antenna design. Experimental results of a truncated patch antenna with circular polarization are presented, achieving a good design point within 1470 seconds.

关键词： sequential quadratic programming design automation multi-objective patch antenna

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Optimal distribution generation sizing via fast sequential quadratic programming

Optimal distribution generation sizing via fast sequential q...

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Large Engineering Systems Conference on Power Engineering

作者： AlHajri, M. F. El-Hawary, M. E. IEEE

ISBN: (纸本)9781424415823

In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flow equality constraints as a substitute of the Newton method used in the conventional sequential quadratic programming (SQP). The proposed technique, Fast SQP, is tested on 69-bus and 33-bus radial systems. Simulation results indicated that the execution time of the developed technique is significantly reduced by a factor of 2/3 compared to the conventional SQP.

关键词： sequential quadratic programming radial power flow distribution generation

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Optimization of the Retardance in Citrate Coated Ferrofluids Using Integrated Genetic-sequential quadratic programming Technique 8

Optimization of the Retardance in Citrate Coated Ferrofluids...

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8th International Conference on Soft Computing & Machine Intelligence (ISCMI)

作者： Lin, Jing-Fung Far East Univ Dept Aircraft Maintenance Tainan Taiwan

ISBN: (纸本)9781728186832

The citrate (citric acid, CA) coated ferrofluids with great magneto-optical retardance could meet the highly magnetic responsive demand, especially in their potential biomedical applications such as hyperthermia and magnetic resonance imaging. In this study, the measured retardances are based on Taguchi method with nine tests for four parameters, including pH of suspension, molar ratio of CA to Fe3O4, CA volume, and coating temperature. Three optimization algorithms including sequential quadratic programming (SQP), genetic algorithm (GA) and integrated GA-SQP are executed to obtain high retardance. Five initial points chosen from the orthogonal test are input into the SQP, the GA is applied to the regression equation, and while executing the integrated GA-SQP algorithm, the parametric combination obtained by GA is adopted as the initial point in the SQP simulation. The global optimum retardance and the corresponding parameter values are effectively assured by the global search ability of a GA and the ability of local searching by using SQP.

关键词： genetic algorithm retardance sequential quadratic programming stepwise regression

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The Structural Optimization of Gearbox Based on sequential quadratic programming Method

The Structural Optimization of Gearbox Based on Sequential Q...

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2nd International Conference on Intelligent Computation Technology and Automation

作者： Huang Wei Fu Lingling Liu Xiohuai Wen Zongyin Zhao Leisheng Guangxi Univ Coll Mech Engn Nanning 530004 Peoples R China Guangxi Commun Vocat & Tech Inst Nanning Peoples R China

ISBN: (纸本)9780769538044

Taking the gearbox of medium-sized motor truck for example and According to structural features and design requirements of the gearbox, the mathematical model of optimization which takes the basic design parameters of gearbox as design variable and takes weight loss as the target was established. Optimization tool box of MATLAB and sequential quadratic programming (SQP) method were used to optimize the gearbox and good optimization results were obtained, thus the design efficiency is improved and the production cost of enterprises was reduced.

关键词： Gearbox Optimum design sequential quadratic programming

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A sequential quadratic programming Model for the Economic-Environmental Dispatch in MT-HVDC 4

A Sequential Quadratic Programming Model for the Economic-En...

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4th IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)

作者： Montoya, Oscar Danilo Gil-Gonzalez, Walter Garces, Alejandro Univ Tecnol Bolivar Ingn Elect & Ingn Elect Cartagena Colombia Univ Tecnol Pereira Programa Ingn Elect Pereira Colombia

ISBN: (纸本)9781728116266

This paper addresses the economic-environmental dispatch problem for thermal plants on a Multi-terminal HVDC power grid. A multi-objective optimization approach is used for modeling the compromise between fuel costs and the greenhouse gas emissions by the thermal plants. The grid topology is also considered by proposing a convex reformulation of the power balance equations through Taylor's series expansion method. To eliminate the error introduced by this linear approximation a sequential quadratic programming approach is applied by solving the multi-objective problem by a single-objective equivalent via weighting factor approach. A standard 6-node HVDC system is used to validate the proposed convex formulation. All simulations are performed in MATLAB with the quadprog optimization package.

关键词： Direct-current grids economic-environmental dispatch problem multi-objective optimization sequential quadratic programming weighting factor method

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sequential quadratic programming for the control of an architectural cable net geometry

Sequential quadratic programming for the control of an archi...

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American Control Conference

作者： Yvonne R. Sturz Manfred Morari Roy S. Smith Automatic Control Laboratory ETH Zurich Switzerland

ISBN: (纸本)9781467386838

In order to efficiently construct anticlastic concrete shell structures in architecture, flexible formwork can be used, whose main component is a cable net under tension. To cope with the fabrication tolerances of the cable net and thus to reduce the deviations between the nominal digital design model and the as-built one, which is needed to guarantee the properties of the shell, we propose a control algorithm which iteratively steers the geometry of the cable net to the desired one. Our contribution in this paper is twofold. We formulate an optimal control problem and provide two different formulations of the nonlinear equality and inequality constraints. Whereas one of the formulations is a set of implicit nonlinear equations, the other one is the solution to a second-order cone program, which can efficiently be solved. We use both formulations and combine them into a control algorithm, which is based on sequential quadratic programming (SQP), and where the solution in each iteration is feasible for the nonlinear constraints. A simulation example is presented to demonstrate the performance of the developed control algorithm.

关键词： Artificial neural networks Geometry Noise measurement Buildings Topology Force Fabrication Computer algorithms Noise measurement geometry sequential quadratic programming Buildings Artificial neural networks topology Force cable fabrication Nets built structure manufacturing tolerances

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