Cyber–Physical Codesign at the Functional Level for Multidomain Automotive Systems

Canedo, Arquimedes; Faruque, Mohammad Abdullah Al

doi:10.1109/jsyst.2015.2472495

Cited by 24 publications

(8 citation statements)

References 32 publications

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“…However, for the range estimation, they supposed the signals are point sources, which means the spatial distribution characteristics of signals was ignored, causing inherent error. The same problem occurred in [2], in which Wan et al only considered the special condition but ignored source spatial distribution although circular and non-circular sources were mixed together.…”

Section: Introductionmentioning

confidence: 90%

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An Efficient Near-Field Localization Method of Coherently Distributed Strictly Non-circular Signals

Kuang

Wang

Xie

2020

Sensors

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For the near-field localization of non-circular distributed signals with spacial probability density functions (PDF), a novel algorithm is proposed in this paper. The traditional algorithms dealing with the distributed source are only for the far-field sources, and they need two-dimensional (2D) search or omit the angular spread parameter. As a result, these algorithms are no longer inapplicable for near-filed localization. Hence the near-filed sources that obey a classical probability distribution are studied and the corresponding specific expressions are given, providing merits for the near-field signal localization. Additionally, non-circularity of the incident signal is taken into account in order to improve the estimation accuracy. For the steering vector of spatially distributed signals, we first give an approximate expression in a non-integral form, and it provides the possibility of separating the parameters to be estimated from the spatially discrete parameters of the signal. Next, based on the rank-reduced (RARE) algorithm, direction of arrival (DOA) and range can be obtained through two one-dimensional (1-D) searches separately, and thus the computational complexity of the proposed algorithm is reduced significantly, and improvements to estimation accuracy and identifiability are achieved, compared with other existing algorithms. Finally, the effectiveness of the algorithm is verified by simulation.

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Section: Introductionmentioning

confidence: 90%

“…Source localization is an important branch in the field of array signal processing, and significant achievements have been made in this field in recent decades [1,2]. However, most of the previous studies focused on far-field signal parameter estimation [3,4].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Near-Field Localization Method of Coherently Distributed Strictly Non-circular Signals

Kuang

Wang

Xie

2020

Sensors

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“…A current trend in system architecture design is advanced methods to address functional requirements. Functional changes may have major ramifications to software, electrical or mechanical aspects of the design, so new methods for co-design are proposed [101]. The use of early phase functional models has been proposed as a promising approach to overcome these issues before design proceeds to domain-specific architectures [102].…”

Section: Functional Requirements For System Architectures In Industry 40mentioning

confidence: 99%

Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study

Yli-Ojanperä

Sierla

Papakonstantinou

et al. 2019

Journal of Industrial Information Integration

126

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Industry 4.0 architecture has been studied in a large number of publications in the fields of Industrial Internet of Things, Cyber Physical Production Systems, Enterprise Architectures, Enterprise Integration and Cloud Manufacturing. A large number of architectures have been proposed, but none of them has been adopted by a large number of research groups. Two major Industry 4.0 reference architectures have been developed by industry-driven initiatives, namely the German Industry 4.0 and the US-led Industrial Internet Consortium. These are the Reference Architecture Model Industry 4.0 and Industrial Internet Reference Architecture, which are being standardized by the International Electrotechnical Commission and the Object Management Group, respectively. The first research goal of this article is to survey the literature on Industry 4.0 architectures in a factory context and assess awareness and compatibility with Reference Architecture Model Industry 4.0 and Industrial Internet Reference Architecture. The second research goal is to adapt a previously proposed advanced manufacturing concept to Reference Architecture Model Industry 4.0. With respect to the first research goal, it was discovered that only a minority of researchers were aware of the said reference architectures and that in general authors offered no discussion about the compatibility of their proposals with any internationally standardized reference architecture for Industry 4.0. With respect to the second research goal, it was discovered that Reference Architecture Model Industry 4.0 was mature with respect to communication and information sharing in the scope of the connected world, that further standardization enabling interoperability of different vendors' technology is still under development and that technology standardization enabling executable business processes between networked enterprises was lacking.

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“…With the continuous improvement of people's safety awareness and the increasingly strict national regulations and standards, automobile manufacturers continue to optimize and transform automobile safety technology in the production process, and strive to ensure vehicle safety to the greatest extent in the production process [7][8]. Because ESC system can improve the driving stability and driving safety of vehicles under various driving conditions, it has become one of the most important active safety systems since its birth, and gradually become one of the standard safety devices of vehicles [9][10].…”

Section: Introductionmentioning

confidence: 99%

Current Situation Analysis and Future Development Trend of Automotive Engineering Control System

2021

IJFET

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With the development of electronic technology, the application of electronic control system (CS) in automobile is more and more, especially the dynamic CS. As a typical dynamic CS, ESC not only plays a key role in the field of active safety, but also is the key executive layer of intelligent driving system. Vehicle state parameters are the basis of ESC control and have a direct impact on the intervention effect of ESC related functions. From the cost of engineering application, a considerable part of the state parameters can not be directly measured by sensors. Therefore, the real-time and accurate estimation of state parameters becomes the key to limit the industrial application of ESC. At present, the key technology has not been mastered in the research and industrial application of ESC control in China, which makes the developed ESC products difficult to meet the needs of industrialization. This paper mainly studies the automotive engineering(AE) CS. Through the analysis of the ESC dynamics CS, we can understand the functional modules of the dynamics CS, and elaborate the control scheme of the ESC dynamics CS. We also study the vehicle yaw rate algorithm and analyze the vehicle yaw steering wheel angle and speed by chart analysis method. The experimental results show that the natural frequency of vehicle yaw is generally between 0.5Hz and 0.7hz. Compared with the single sinusoidal input test, the steering wheel angle required to excite the vehicle yaw rate response is smaller in the sinusoidal stagnation test. At 0.5Hz, the sinusoidal stagnation test needs to swing 130 degrees, while the single sinusoidal input test needs to swing 200 degrees.

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Cyber–Physical Codesign at the Functional Level for Multidomain Automotive Systems

Cited by 24 publications

References 32 publications

An Efficient Near-Field Localization Method of Coherently Distributed Strictly Non-circular Signals

An Efficient Near-Field Localization Method of Coherently Distributed Strictly Non-circular Signals

Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study

Current Situation Analysis and Future Development Trend of Automotive Engineering Control System

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