Auxiliary algorithm to approach a near-global optimum of a multi-objective function in acoustical topology optimization

Oh, Kee Seung; Lee, Jin Woo

doi:10.1016/j.engappai.2022.105488

Cited by 6 publications

(3 citation statements)

References 51 publications

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“…With ( ) e t , the sequence formed with the control beats, the evaluation function 0 ( ) t t e t dt  is calculated based on the pair ( , P σ ). Particle swarm optimization (PSO) is adopted for the global optimization [54] of the control law. The pair ( , P σ…”

Section: Controller Offline Designmentioning

confidence: 99%

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A LSSVR Interactive Network for AUV Motion Control

Jiang

Wan

Zhang

et al. 2023

JMSE

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In view of the requirements on control precision of autonomous underwater vehicles (AUVs) in different operations, the improvement of AUV motion control accuracy is the focus of this paper. In regard to the unsatisfying robustness of traditional control methods, an interactive network based on Least Square Support Vector Regression (LSSVR) is therefore put forward. The network completed the identification of the strong nonlinear AUV dynamic characteristics based on the LSSVR theory and by virtue of the interactions between the offline and online modules, it achieved offline design and online optimization of the AUV control law. In addition to contrastive numerical simulations and sea trials with the classic S-plane method in AUV velocity and heading control, the LSSVR network was also tested in path following and long-range cruise. The precision and robustness and of the proposed network were verified by the high-accuracy control results of the aforesaid simulations and trials. The network can be of practical use in AUV control especially under unfamiliar water conditions with access to a limited number of control samples or little information of the operation site.

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Section: Controller Offline Designmentioning

confidence: 99%

“…t 0 t|e(t)|dt is calculated based on the pair (P, σ). Particle swarm optimization (PSO) is adopted for the global optimization[54] of the control law. The pair (P, σ) showing the optimal optimization result determines the optimal control law.…”

mentioning

confidence: 99%

A LSSVR Interactive Network for AUV Motion Control

Jiang

Wan

Zhang

et al. 2023

JMSE

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“…Some researchers explained how enhanced stainless steel qualities in automotive exhaust systems are growing in response to the need for lighter vehicles and more stringent exhaust gas laws (Kalita and Singh, 2023;Oh and Lee, 2023). However, depending on the portions for which the materials are intended to be utilised, the qualities of the steel used in vehicle exhaust systems vary (Barbieri and Barbieri, 2006).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Noise Level with Convergent and Divergent Shape of Muffler and its Impact on Noise Pollution

Jatola,

Gupta

2023

IJERR

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Noise pollution is one of the key hazards that decreases people's quality of life globally. Due to the rapid development of technology, industrialization, urbanization, and transportation networks, noise pollution has reached serious levels in recent years. Sound transmission loss, the attenuation of sound as it passes through diverse objects and environments, is crucial in lowering noise pollution and preserving the acoustic integrity of ecosystems. Due to de-throttling tactics implemented to optimize cylinder fill, the intake system of internal combustion engines is the primary noise source while the vehicle is at low speeds and high loads. Therefore, achieving high acoustic performance of intake systems constitutes a critical issue in complying with the increasingly stringent European regulations for overall noise emission. The Transmission Loss computation is typically the most used technique for describing a system's acoustic performances. This work provided an overview of sound transmission loss and discussed its substantial environmental effects. It investigates the fundamentals of sound transmission, the factors that influence it, and the environmental impacts of sound attenuation. This paper proposed a comparison of three designs like straight duct (muffler), convergent and divergent design of muffler. The main aim is to observe sound transmission loss and compare the noise level with three muffler configurations with the same gas volume. High transmission loss indicates more noise reduction in muffler design, which will help reduce environmental noise pollution.

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Deep-learning-based generative design for optimal silencer using backpropagation of artificial neural network model

An,

Lee

2024

Advanced Engineering Informatics

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Auxiliary algorithm to approach a near-global optimum of a multi-objective function in acoustical topology optimization

Cited by 6 publications

References 51 publications

A LSSVR Interactive Network for AUV Motion Control

A LSSVR Interactive Network for AUV Motion Control

Analysis of Noise Level with Convergent and Divergent Shape of Muffler and its Impact on Noise Pollution

Deep-learning-based generative design for optimal silencer using backpropagation of artificial neural network model

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