检索结果-内蒙古大学图书馆

IEEE International Conference on systems, Man and Cybernetics

作者： E.R. Loures M.R. Silveira M.A. Busetti Y. Arda Graduate Program in Production Systems Engineering Pontifical Catholic University of Paraná Curitiba Brazil

The classical approaches to teach the control systems present drawbacks, such as: (i) the general overview of the problem is sometimes underemphasized by the knowledge acquisition; (ii) they mainly use the academic examples that are only dealing with simple concepts and problems; (iii) laboratory experiments are either simple or under developed. Design aspects of control systems when applied to practical processes are important to improve the knowledge of the students and to motivate the utilization of modern methodologies as an emergent technology for the applications in industry. In this work, we point out some important aspects for conceiving a new educational product. We describe our experiences in creating a didactic environment for teaching and learning the control theories in engineering courses based on CACSD (computer aided control system design) and its extension to the research field of industrial problems. Two distinct proposals arise from these experiences for reducing the gap between the theoretical and practical classes, and for teaching the control systems development cycle using mathematical tools and real plants under the virtual instrumentation concept.

关键词： Control engineering education Control systems Electrical equipment industry Industrial control Knowledge acquisition Laboratories Application software Educational products Control theory Design engineering

来源：评论

学校读者我要写书评

暂无评论

A DIAGNOSIS FRAMEWORK OF HYBRID DYNAMIC systems BASED ON TIME FUZZY PETRI NETS

引用

IFAC Proceedings Volumes 2005年第1期38卷 55-60页

作者： E. Rocha Loures J.C. Pascal Laboratory for Analysis and Architecture of Systems – LAAS/CNRS Toulouse-France Graduate Program in Production System Engineering – PUCPR Curitiba-Brazil

This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is made, defining for each measured or observable variable a number of qualitative states. Then time Fuzzy intervals representing the moment of state change are defined. The process behaviour of the operating mode is represented by Time Fuzzy Petri nets (TFPN) model and its evolution is the consequence of events detection due to the partitioning bounds crossing. According to the membership possibility of an event to the estimated time interval and to fuzzy influence knowledge, it is possible to reason about a fault occurrence. The fuzzy data issue from the TFPN components allows evaluating the causes of the fault or failure mode. A model-based diagnosis of a hybrid system is presented.

关键词： Time fuzzy Petri nets qualitative modelling possibility theory detection diagnosis hybrid systems

来源：评论

学校读者我要写书评

暂无评论

Opposition-based shuffled PSO with passive congregation applied to FM matching synthesis

Opposition-based shuffled PSO with passive congregation appl...

引用

IEEE Congress on Evolutionary Computation

作者： Munoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincon, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424478347

Synthesis of musical instruments or human voice is a time consuming process which requires theoretical and experimental knowledge about the synthesis engine. Commonly, performers need to deal with synthesizer interfaces and a process of trial and error for creating musical sounds similar to a target sound. This drawback can be overcome by adjusting automatically the synthesizer parameters using optimization algorithms. In this paper a hybrid particle swarm optimization (PSO) algorithm is proposed to solve the frequency modulation (FM) matching synthesis problem. The proposed algorithm takes advantage of a shuffle process for exchanging information between particles and applies the selective passive congregation and the opposition-based learning approaches to preserve swarm diversity. Both approaches for injecting diversity are based on simple operators, preserving the easy implementation philosophy of the particle swarm optimization. The proposed hybrid particle swarm optimization algorithm was validated for a three-nested FM synthesizer, which represents a 6-dimensional multimodal optimization problem with strong epistasis. Simulation results revealed that the proposed algorithm presented promising results in terms of quality of solutions. © 2011 IEEE.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

Ant Lion Approach Based on Lozi Map for Multiobjective Transformer Design Optimization

Ant Lion Approach Based on Lozi Map for Multiobjective Trans...

引用

2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2018

作者： Coelho, Leandro Dos Santos Maidl, Gabriel Pierezan, Juliano Mariani, Viviana Cocco Da Luz, Mauricio V. Ferreira Leite, Jean Vianei Industrial and Systems Eng. Graduate Program -PPGEPS Federal University of Parana -UFPR Department of Electrical Engineering -DEE/PPGEE Pontifical Catholic University of Parana -PUCPR Curitiba PR Brazil Department of Electrical Engineering-DEE/PPGEE Federal University of Parana -UFPR Curitiba PR Brazil Florianopolis SC Brazil

ISBN: (纸本)9781538649411

Metaheuristic algorithm is a generic computational approach aiming at efficiently solving optimization problems, mainly global optimization problems. The No Free Lunch theorem states that no single algorithm can perform well on every optimization problem, encouraging the development of new optimization metaheuristics. Ant lion optimizer (ALO) is a nature inspired stochastic metaheuristic algorithm which mimics the hunting behavior of ant lions in nature using steps of hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps. In this paper, an ALO approach is adapted to multiobjective optimization (MOALO) using external archiving and ranking with crowding distance. Furthermore, a MOALO version with the control parameter setup based on Lozi map with chaotic dynamical behavior is also proposed to solve a Transformer Design Optimization (TDO) problem with two competing objectives. The effectiveness of the proposed algorithms is demonstrated by the simulations applied to a TDO problem. © 2018 IEEE.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Particle Swarm Optimization with Quasi-Newton Local Search for Solving Economic Dispatch Problem

Particle Swarm Optimization with Quasi-Newton Local Search f...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Leandro dos Santos Coelho Viviana Cocco Mariani Production and Systems Engineering Graduate Program Automation and Systems Laboratory Pontifical Catholic University of Paraná Curitiba Brazil

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm intelligence theory, this paper discusses the use of PSO with a Quasi-Newton (QN) local search method. The PSO is used to produce good potential solutions, and the QN is used to fine-tune of final solution of PSO. The hybrid methodology is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects.

关键词： Particle swarm optimization Power generation Power generation economics Fuel economy Cost function Equations Power system economics System testing Character generation Constraint optimization

来源：评论

学校读者我要写书评

暂无评论

Current Panorama, Practice Gaps, and Recommendations to Accelerate the Transition to a Circular Bioeconomy in Latin America and the Caribbean

引用

Circular Economy and Sustainability 2022年第1期2卷 281-312页

作者： Salvador, Rodrigo Pereira, Reinalda Blanco Sales, Gabriel Fernandes de Oliveira, Vanessa Campana Vergani Halog, Anthony De Francisco, Antonio C. Sustainable Production Systems Laboratory (LESP) Graduate Program in Industrial Engineering (PPGEP) Universidade Tecnológica Federal Do Paraná (UTFPR) Ponta Grossa Brazil School of Earth and Environmental Sciences The University of Queensland St Lucia 4072 QLD Australia

The rampant use of resources and the increasing risk of scarcity have been contributing to greater awareness regarding the need for maintaining resources in use for longer and the shift to renewable alternatives, in which perspective the concept of a circular bioeconomy (CBE) has been permeating the most diverse sectors. Therefore, the study’s aims were manifold: identify (i) existing practices and initiatives, (ii) barriers and potential opportunities and (iii) existing gaps for advancing a circular bioeconomy in Latin America and the Caribbean (LAC) and (iv) provide recommendations aiming at the development of a circular bioeconomy (CBE) in the region. To that end, a systematic review of the existing academic literature was done, and reports from relevant non-peer reviewed sources were also consulted. CBE practices in LAC are concentrated in only a few of the countries in the region and very much revolve around recovering value from by-products and waste streams. There are a range of economic, technological, environmental, and social barriers. Opportunities for a CBE are mainly related to the use of waste as raw material (found abundantly in the countries being investigated) and the use of new techniques/technologies. The gaps between the current state and a successful CBE are related to policy, scaling-up, collaborations, and establishing efficient business models. Recommendations for a successful CBE in the region include greater engagement of public actors, investing and developing the local economy, establishing biorefineries and industrial parks, and finding new technological routes for bioresources. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Bioeconomy Circular bioeconomy Circular business Circular economy Latin America Policy

来源：评论

学校读者我要写书评

暂无评论

Accelerating the artificial bee colony algorithm by hardware parallel implementations

Accelerating the artificial bee colony algorithm by hardware...

引用

2012 IEEE 3rd Latin American Symposium on Circuits and systems, LASCAS 2012

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781467312080

Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal solutions. As a population-based algorithm, the ABC suffers on large execution times specifically for embedded optimization problems with computational limitations. For that we propose a hardware parallel architecture of the opposition-based ABC algorithm (HPOABC) that facilitates the implementation in Field programmable Gate Arrays (FPGAs). Numerical simulations using four well-known benchmark problems demonstrate that the opposition-based approach allows the algorithm to improve its functionality, preserving the swarm diversity. Additionally, synthesis results point outs that the HPOABC architecture is effectively mapped in hardware and is suitable for embedded applications. © 2012 IEEE.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

A Zaslavskii Firefly Approach Applied to Loney's Solenoid Benchmark

A Zaslavskii Firefly Approach Applied to Loney's Solenoid Be...

引用

IEEE International Conference on systems, Man, and Cybernetics

作者： Leandro dos Santos Coelho Emerson Hochsteiner de Vasconcelos Segundo Viviana Cocco Mariani Marcia de Fatima Morais Roberto Zanetti Freire Industrial and Systems Eng. Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) and Department of Electrical Engineering Federal University of Parana (UFPR) Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) and Department of Electrical Engineering Federal University of Parana (UFPR) Industrial and Systems Eng. Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR)

ISBN: (纸本)9781479938414

Nature-inspired algorithms of the swarm intelligence field perform powerfully and efficiently in solving global optimization problems. Inspired by nature, these metaheuristic algorithms have obtained promising performance over continuous domains of optimization problems. Recently, a new swarm intelligence approach called firefly algorithm (FA) has emerged. The FA is a stochastic paradigm based on the idealized behavior of the flashing characteristics of fireflies. However, to achieve good performance with FA, the tuning of control parameters is essential as its performance is sensitive to the choice of the randomization parameter (α) setting. This paper introduces a FA approach combined with chaotic sequences generated by Zaslavskii map (FACZ) to tune the randomization parameter. Simulations of Loney's solenoid benchmark problem examine the effectiveness of the conventional FA and the proposed FACZ algorithms. Simulation results and comparisons with the FACZ demonstrated that the performance of the FA is promising in the Loney's solenoid case.

关键词： Swarm intelligence Firefly algorithm Electromagnetic optimization Chaotic sequences Loney's solenoid

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Grey Wolf Optimizer for the Identification Process of a real MIMO System

Multi-Objective Grey Wolf Optimizer for the Identification P...

引用

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Allan Christian Krainski Ferrari Gideon Villar Leandro Leandro dos Santos Coelho Eletrical Engineering Department Federal University of Paraná UFPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) Federal University of Paraná (UFPR) and Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR)

This article implements the multi-objective grey wolf optimizer (MOGWO) in the identification process of a multivariable system. For a sequence of 100 runs, MOGWO approach had compared and analyzed with the grey wolf optimizer (GWO), the single-objective version. In the computational simulation, the determination coefficient values and mean square error had used to analyze the quality of the models obtained. In the results, MOGWO showed superior to GWO to the differences between the order of magnitude of the system outputs. The implementation shows that MOGWO and other multi-objective metaheuristics can be an alternative method to solve problems of identification processes of multivariable systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A normative self-organizing migrating algorithm for power economic dispatch of thermal generators with valve-point effects and multiple fuels

A normative self-organizing migrating algorithm for power ec...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Viviana Cocco Mariani Rodrigo Clemente Thom de Souza Leandro dos Santos Coelho Department of Mechanical Engineering PPGEM Pontifical Catholic University of Paraná Curitiba Parana Brazil Industrial and Systems Engineering PPGEPS Pontifical Catholic University of Paraná Curitiba Parana Brazil Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Paraná Curitiba Parana Brazil

A new class of meta-heuristics called SOMA (Self-Organizing Migrating Algorithm) was proposed in recent literature. SOMA works on a population of potential solutions called specimen and it is based on the self-organizing behavior of groups of individuals in a ¿social environment¿. This paper proposes a modified SOMA approach to solving the economic load dispatch problem of thermal generators with the valve-point effect. To show the performance of the proposed modified SOMA algorithm based on fundamentals of normative knowledge in cultural algorithms, which was applied to test the power economic problem comprised 10 generating units with valve-point effects and multiple fuels for the load demands of 2400 MW. Simulation results show that the classical and modified SOMA algorithms are efficient and have good convergence property when compared with results of other optimization methods reported in the literature.

关键词： Power generation economics Fuel economy Power generation Environmental economics Power system economics Industrial economics systems engineering and theory Stochastic processes Evolutionary computation Modeling

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：