Zhen Zhang, Xiaona Song, Chunlei Li, Xiangliang Sun
This paper investigates a fuzzy reduced-order filter design for a class of nonlinear partial differential equation (PDE) systems. First, a Takagi-Sugeno (T-S) fuzzy model is considered to reconstruct the nonlinear PDE system. Then, the employment of an event-triggered mechanism (ETM) can effectively avoid signal redundancy and improve network resource utilization. Furthermore, based on the advantages of the fuzzy model and ETM, several Lyapunov functions are designed and the proposed filter parameters are obtained by adopting linear matrix inequality methods to satisfy the asymptotic stability condition with H∞ performance. Finally, a simulation example is presented to demonstrate the practicality and effectiveness of the proposed filter design method.
{"title":"Fuzzy reduced-order filtering for nonlinear parabolic PDE systems with limited communication","authors":"Zhen Zhang, Xiaona Song, Chunlei Li, Xiangliang Sun","doi":"10.20517/ces.2021.10","DOIUrl":"https://doi.org/10.20517/ces.2021.10","url":null,"abstract":"This paper investigates a fuzzy reduced-order filter design for a class of nonlinear partial differential equation (PDE) systems. First, a Takagi-Sugeno (T-S) fuzzy model is considered to reconstruct the nonlinear PDE system. Then, the employment of an event-triggered mechanism (ETM) can effectively avoid signal redundancy and improve network resource utilization. Furthermore, based on the advantages of the fuzzy model and ETM, several Lyapunov functions are designed and the proposed filter parameters are obtained by adopting linear matrix inequality methods to satisfy the asymptotic stability condition with H∞ performance. Finally, a simulation example is presented to demonstrate the practicality and effectiveness of the proposed filter design method.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67656838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Jiang, Minghao Zhao, Wanting Zhao, Hongde Qin, Hong Qi, Kai Wang, Chong Wang
Prediction of temperature Abstract The ocean is a complex system. Ocean temperature is an important physical property of seawater, so studying its variation is of great significance. Two kinds of network structures for predicting thermocline time series data are proposed in this paper. One is the LSTM-GRU hybrid neural network model, and the other is the temporal convolutional network (TCN) model. The two networks have obvious advantages over other models in accuracy, stability, and adaptability. Compared with the traditional auto-regressive integrate moving average model, the proposed method considers the influence of temperature history, salinity, depth, and other information. The experimental results show that TCN performs better in prediction accuracy, while LSTM-GRU can better predict abnormal data and has higher robustness.
{"title":"Prediction of sea temperature using temporal convolutional network and LSTM-GRU network","authors":"Yu Jiang, Minghao Zhao, Wanting Zhao, Hongde Qin, Hong Qi, Kai Wang, Chong Wang","doi":"10.20517/ces.2021.03","DOIUrl":"https://doi.org/10.20517/ces.2021.03","url":null,"abstract":"Prediction of temperature Abstract The ocean is a complex system. Ocean temperature is an important physical property of seawater, so studying its variation is of great significance. Two kinds of network structures for predicting thermocline time series data are proposed in this paper. One is the LSTM-GRU hybrid neural network model, and the other is the temporal convolutional network (TCN) model. The two networks have obvious advantages over other models in accuracy, stability, and adaptability. Compared with the traditional auto-regressive integrate moving average model, the proposed method considers the influence of temperature history, salinity, depth, and other information. The experimental results show that TCN performs better in prediction accuracy, while LSTM-GRU can better predict abnormal data and has higher robustness.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67656761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a Model Predictive Control (MPC) algorithm for Nonlinear systems represented through quasi-Linear Parameter Varying (qLPV) embeddings. Input-to-state stability is ensured through parameter-dependent terminal ingredients, computed offline via Linear Matrix Inequalities. The online operation comprises three consecutive Quadratic Programs (QPs) and, thus, is computationally efficient and able to run in real-time for a variety of applications. These QPs stand for the control optimization (MPC) and a Moving-Horizon Estimation (MHE) scheme that predicts the behaviour of the scheduling parameters along the future horizon. The method is practical and simple to implement. Its effectiveness is assessed through a benchmark example (a CSTR system).
{"title":"A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation","authors":"M. Morato, Emanuel Bernardi, V. Stojanovic","doi":"10.20517/ces.2021.09","DOIUrl":"https://doi.org/10.20517/ces.2021.09","url":null,"abstract":"This paper presents a Model Predictive Control (MPC) algorithm for Nonlinear systems represented through quasi-Linear Parameter Varying (qLPV) embeddings. Input-to-state stability is ensured through parameter-dependent terminal ingredients, computed offline via Linear Matrix Inequalities. The online operation comprises three consecutive Quadratic Programs (QPs) and, thus, is computationally efficient and able to run in real-time for a variety of applications. These QPs stand for the control optimization (MPC) and a Moving-Horizon Estimation (MHE) scheme that predicts the behaviour of the scheduling parameters along the future horizon. The method is practical and simple to implement. Its effectiveness is assessed through a benchmark example (a CSTR system).","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67656828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents author’s perspectives on the manufacturing engineering systems in a changing world. A brief historical review of manufacturing evolution is described. Perspectives in making manufacturing engineering a science is presented. At last, issues and challenges of the manufacturing engineering systems in the future are discussed.
{"title":"Perspectives on the Modern Manufacturing Engineering Systems","authors":"J. Lee","doi":"10.1115/imece1996-0873","DOIUrl":"https://doi.org/10.1115/imece1996-0873","url":null,"abstract":"\u0000 This paper presents author’s perspectives on the manufacturing engineering systems in a changing world. A brief historical review of manufacturing evolution is described. Perspectives in making manufacturing engineering a science is presented. At last, issues and challenges of the manufacturing engineering systems in the future are discussed.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75734605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A U.S. Navy-initiated annual workshop program for promoting wise technology investment in the engineering of complex systems in the 21st century, especially in systems engineering technology, is described. Descriptions of the first two workshops held in 1994 and 1995, including some general results that were obtained by the focus groups, are given. Because of fundamental changes in the way the Department of Defense (DoD) currently acquires goods and services, the third workshop is designed to couple the focus group discussions and expectations closely with the DoD mandated concepts of Integrated Product and Process Development (IPPD) and Integrated Product Teams (IPTs). Primary focus group tasks related to practices to improve the engineering of complex systems within the IPPD context are discussed. Some characteristics of complex systems are presented. A few recent studies on engineering and management processes and DoD and industry experiences related to engineering of complex systems outside of the workshops are reviewed. Human resources and the changing role of the engineer are discussed.
{"title":"Engineering of Complex Systems in the 21st Century","authors":"H. Crisp, M. Franke","doi":"10.1115/imece1996-0878","DOIUrl":"https://doi.org/10.1115/imece1996-0878","url":null,"abstract":"\u0000 A U.S. Navy-initiated annual workshop program for promoting wise technology investment in the engineering of complex systems in the 21st century, especially in systems engineering technology, is described. Descriptions of the first two workshops held in 1994 and 1995, including some general results that were obtained by the focus groups, are given. Because of fundamental changes in the way the Department of Defense (DoD) currently acquires goods and services, the third workshop is designed to couple the focus group discussions and expectations closely with the DoD mandated concepts of Integrated Product and Process Development (IPPD) and Integrated Product Teams (IPTs). Primary focus group tasks related to practices to improve the engineering of complex systems within the IPPD context are discussed. Some characteristics of complex systems are presented. A few recent studies on engineering and management processes and DoD and industry experiences related to engineering of complex systems outside of the workshops are reviewed. Human resources and the changing role of the engineer are discussed.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"99 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86098702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The formal Systems Engineering process was developed by the Department of Defense and its contractors in the late 1950s, during the development of the first ballistic missile systems, and was first documented as a standard process in 1969 in MIL-STD 499, Engineering Management. The process is intended to provide an overall framework for managing the development and acquisition of complex defense systems, describing an orderly sequence and supporting documentation to be implemented by both the government customers and development contractors. During the definition of systems engineering, defense and aerospace systems clearly represented the most complex products undertaken by the U.S. scientific, engineering, and industrial communities. As commercial products, particularly those spanning many technical disciplines, began to exhibit the same degree of complexity, the companies responsible for these commercial products have started adapting the DoD systems engineering process and practices for use in commercial product development projects.
{"title":"Systems Engineering of Complex Commercial Systems","authors":"Pat Hale","doi":"10.1115/imece1996-0871","DOIUrl":"https://doi.org/10.1115/imece1996-0871","url":null,"abstract":"\u0000 The formal Systems Engineering process was developed by the Department of Defense and its contractors in the late 1950s, during the development of the first ballistic missile systems, and was first documented as a standard process in 1969 in MIL-STD 499, Engineering Management. The process is intended to provide an overall framework for managing the development and acquisition of complex defense systems, describing an orderly sequence and supporting documentation to be implemented by both the government customers and development contractors. During the definition of systems engineering, defense and aerospace systems clearly represented the most complex products undertaken by the U.S. scientific, engineering, and industrial communities. As commercial products, particularly those spanning many technical disciplines, began to exhibit the same degree of complexity, the companies responsible for these commercial products have started adapting the DoD systems engineering process and practices for use in commercial product development projects.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73319995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ever since the transistor was introduced in the 1950’s, semiconductors have offered an ever increasing level of performance, providing exponentially greater applications. Life today would be vastly different without semiconductors. The successive introduction of the SCR (silicon controlled rectifier), the CTO (gated turn off thyristor) and then the ICBT (insulated gate bipolar transistor) has offered new, higher power applications for semiconductors.
{"title":"High Performance Power Converters: An Engineering Systems Approach","authors":"Edward L. Bartlett","doi":"10.1115/imece1996-0877","DOIUrl":"https://doi.org/10.1115/imece1996-0877","url":null,"abstract":"\u0000 Ever since the transistor was introduced in the 1950’s, semiconductors have offered an ever increasing level of performance, providing exponentially greater applications. Life today would be vastly different without semiconductors. The successive introduction of the SCR (silicon controlled rectifier), the CTO (gated turn off thyristor) and then the ICBT (insulated gate bipolar transistor) has offered new, higher power applications for semiconductors.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73927281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is a widespread tendency to frame engineering design as a problem-solving activity. In this framework, the goal of a design is to satisfy functional requirements, subject to constraints, at minimum cost. It is shown below that this approach can lead to seriously non-optimal designs, and it further denies the use of a broad spectrum of fruitful tools that open up to the design engineer if only design is viewed instead as a decision-making process. In this context, a definition is given for systems engineering. Then, this definition is built upon to create a new framework for engineering design that has at its base the assertion that design is a process of decision making that is amenable to treatment using classical decision theory.
{"title":"Systems Engineering: A New Framework for Engineering Design","authors":"G. Hazelrigg","doi":"10.1115/imece1996-0874","DOIUrl":"https://doi.org/10.1115/imece1996-0874","url":null,"abstract":"\u0000 There is a widespread tendency to frame engineering design as a problem-solving activity. In this framework, the goal of a design is to satisfy functional requirements, subject to constraints, at minimum cost. It is shown below that this approach can lead to seriously non-optimal designs, and it further denies the use of a broad spectrum of fruitful tools that open up to the design engineer if only design is viewed instead as a decision-making process. In this context, a definition is given for systems engineering. Then, this definition is built upon to create a new framework for engineering design that has at its base the assertion that design is a process of decision making that is amenable to treatment using classical decision theory.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77320503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Systems Engineering as a process for the management of large complex projects has been practiced for many years in the defense and aerospace industries. There, through experience of application, it has been developed into a standard process, or set of processes, depending on whether one is looking at the whole or its parts. The logic, and success, of the approach are such that it has been published in several standards, originally as Mil Std 499a and follow on Draft Mil Std 499b, and now as commercial standards EIA 632, and IEEE 1220. The process is now being adopted by some non-defense industries but it has not been generally recognized as a useful management tool for all types of projects, large or small, defense or non-defense. This may be due to its association with large complex Department of Defense or aerospace engineering projects, or difficulties encountered in attempting to apply the concepts. Systems engineering is a fundamental, simple process but may encounter difficult problems when implemented in large ongoing programs or projects. This paper discusses the problems and possible solutions for implementing systems engineering into ongoing programs or projects.
{"title":"Implementing Systems Engineering Into an Ongoing Program","authors":"P. Altomare","doi":"10.1115/imece1996-0879","DOIUrl":"https://doi.org/10.1115/imece1996-0879","url":null,"abstract":"\u0000 Systems Engineering as a process for the management of large complex projects has been practiced for many years in the defense and aerospace industries. There, through experience of application, it has been developed into a standard process, or set of processes, depending on whether one is looking at the whole or its parts. The logic, and success, of the approach are such that it has been published in several standards, originally as Mil Std 499a and follow on Draft Mil Std 499b, and now as commercial standards EIA 632, and IEEE 1220. The process is now being adopted by some non-defense industries but it has not been generally recognized as a useful management tool for all types of projects, large or small, defense or non-defense. This may be due to its association with large complex Department of Defense or aerospace engineering projects, or difficulties encountered in attempting to apply the concepts. Systems engineering is a fundamental, simple process but may encounter difficult problems when implemented in large ongoing programs or projects. This paper discusses the problems and possible solutions for implementing systems engineering into ongoing programs or projects.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81561285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The concept of teams is rapidly changing the way products are developed and produced today. With the onset of such philosophies as Total Quality Management (TQM) and Concurrent Engineering (CE), today’s engineer must learn backgrounds. Moreover, the trend of downsizing has resulted in less people doing more and, subsequently, learning many additional, as well as different, skills than one could ever have imagined.
{"title":"The Need for Versatility by Today’s Engineer in Dealing With Complex Engineering Systems","authors":"A. Rafanelli","doi":"10.1115/imece1996-0876","DOIUrl":"https://doi.org/10.1115/imece1996-0876","url":null,"abstract":"\u0000 The concept of teams is rapidly changing the way products are developed and produced today. With the onset of such philosophies as Total Quality Management (TQM) and Concurrent Engineering (CE), today’s engineer must learn backgrounds. Moreover, the trend of downsizing has resulted in less people doing more and, subsequently, learning many additional, as well as different, skills than one could ever have imagined.","PeriodicalId":72652,"journal":{"name":"Complex engineering systems (Alhambra, Calif.)","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76400975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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