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Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: Therefore, we present a novel robust reinforcement learning approach with safety guarantees to attainIn addition, an adversarial robust actor-critic algorithm is developed to enable the agent to learn robustdriving agent can make trustworthy decisions and drastically reduce the number of collisions through robust

Keywords： Autonomous vehicle Decision-making Reinforcement learning Adversarial attack Safety guarantee

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A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: The classification accuracy of the popular machine learning methods has been evaluated in comparisonwith the proposed deep learning model.The average classification accuracy obtained using the proposed deep learning model was 9.55% higherthan the best machine learning algorithm considered in this paper.

Keywords： precision milling dimensional accuracy cutting force convolutional neural networks coherent noise

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: In this paper, we present a multi-view learning approach to recognize human actions from different viewsAs most existing multi-view learning algorithms often suffer from the problem of lacking data adaptivenessin the nearest neighborhood graph construction procedure, a robust locally adaptive multi-view learningalgorithm based on learning multiple local L1-graphs is proposed.

Keywords： View-invariant Action recognition Multi-view learning L1-norm Local learning

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A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring Article

Chunhua Yang, Huiping Liang, Keke Huang, Yonggang Li, Weihua Gui

Engineering 2021, Volume 7, Issue 9, Pages 1262-1273 doi: 10.1016/j.eng.2020.08.028

Abstract: historical training data and online testing data that is induced by changeable operation environments, a robusttransfer dictionary learning (RTDL) algorithm is proposed in this paper for industrial process monitoringThe RTDL is a synergy of representative learning and domain adaptive transfer learning.data and online testing data as the source domain and the target domain, respectively, in the transfer learningIn this way, a robust dictionary can be learned even if the characteristics of the source domain and

Keywords： Process monitoring Multimode process Dictionary learning Transfer learning

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Robust cross-modal retrieval with alignment refurbishment Research Article

Jinyi GUO, Jieyu DING,jinyi_g@njust.edu.cn,djy@qdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10, Pages 1403-1415 doi: 10.1631/FITEE.2200514

Abstract: Therefore, we propose a robust with alignment refurbishment (RCAR), which significantly reduces theSpecifically, RCAR first conducts multi-task learning to slow down the overfitting to the noise to makeExperimental results show that, compared with the popular methods, RCAR achieves more robust performance

Keywords： Cross-modal retrieval Robust learning Alignment correction Beta-mixture model

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Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3, Pages 257-264 doi: 10.1007/s11465-014-0294-x

Abstract: method has been introduced in literature which defines the robust solution as a set of solutions whoseThese criteria might be significant for robust optimization of single objective optimization problemsThe proposed method called Pareto lexicographic α-robust approach can define Paretolexicographic α-robust solutions from different scenarios by considering multipleThe presented method can be significant to implement on different multi objective robust optimization

Keywords： Pareto lexicographic α-robust assembly line balancing

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Target-oriented robust optimization of a microgrid system investment model

Lanz UY, Patric UY, Jhoenson SIY, Anthony Shun Fung CHIU, Charlle SY

Frontiers in Energy 2018, Volume 12, Issue 3, Pages 440-455 doi: 10.1007/s11708-018-0563-1

Abstract: It further investigates the effects of uncertain demand by using a target-oriented robust optimization

Keywords： microgrid renewable resources robust optimization target-oriented robust optimization

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Robust control of

Xueyan TANG, I-Ming CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 25-34 doi: 10.1007/s11465-009-0004-2

Abstract: This article describes the development of an flexure-based micromanipulator, with the features of decoupled kinematic structure, large motion range, high positioning precision, and fast response. The large motion range of flexure mechanisms is quantified by a given definition. Based on the given definition, large motion is achieved in the mechanical design of the -flexure parallel mechanism (FPM). To ensure high positioning precision and fast dynamic response, a hybrid control algorithm with both position control and vibration control are designed, using the H -theory. The controller strongly solves the three common problems of flexure mechanisms simultaneously, including unmodeled uncertainties, the external disturbances and vibration caused by inherent low damping.

Keywords： robust control flexure mechanisms flexure-based micromanipulator

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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: focus of this paper is on the non-probabilistic-based design of new arch-type dams by applying means of robustAs a result, robust and reliable designs are obtained and the result is independent from any assumptionsThe optimization of an arch-type dam is realized here by a robust optimization method under load uncertaintyminimum objective value and offers a solution candidate close to limit-states, the RDO method provides a robustBy this means, the robust design can generate an improved arch dam structure that ensures both safety

Keywords： arch dam shape optimization robust optimization load uncertainty approximation model

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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: Robust object tracking has been an important and challenging research area in the field of computer visionIn this paper, a novel RGBD and sparse learning based tracker is proposed.The range data is integrated into the sparse learning framework in three respects.First, an extra depth view is added to the color image based visual features as an independent view for robustthat the proposed tracker outperforms the state-of-the-art tracking algorithms, including both sparse learning

Keywords： Object tracking Sparse learning Depth view Occlusion templates Occlusion detection

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Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 138-144 doi: 10.1007/s11465-015-0333-2

Abstract:

The reliability-based design optimization, the reliability sensitivity analysis and robust designmethod are employed to present a practical and effective approach for reliability-based robust designA procedure for reliability-based robust design optimization of vehicle components is proposed.Application of the method is illustrated by reliability-based robust design optimization of axle andNumerical results have shown that the proposed method can be trusted to perform reliability-based robust

Keywords： reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust

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Analytical approach to robust design of nonlinear mechanical systems

Jian ZHANG, Nengsheng BAO, Guojun ZHANG, Peihua GU

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 203-214 doi: 10.1007/s11465-009-0022-0

Abstract: Their effects must be understood for designing robust systems.With this model, the sensitivity of systems was analyzed to formulate a system sensitivity index and robustBased on the robust design principle, an optimization model was developed.Combining this optimization model and the Taguchi method for robust design, an analysis was carried out

Keywords： robust design nonlinear

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Reliability-based robust design optimization of vehicle components, Part II: Case studies

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 145-153 doi: 10.1007/s11465-015-0334-1

Abstract:

The reliability-based optimization, the reliability-based sensitivity analysis and robust design methodare employed to propose an effective approach for reliability-based robust design optimization of vehicleApplications of the method are further discussed for reliability-based robust optimization of vehicleResults have shown the proposed method is an efficient method for reliability-based robust design optimization

Keywords： reliability-based design optimization reliability-based sensitivity analysis multi-objective optimization robust

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Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Frontiers of Engineering Management Pages 67-81 doi: 10.1007/s42524-022-0240-2

Abstract: strategy optimization problem, this study proposes a novel two-stage stochastic programming model with robustobtained, the conditional value at risk (CVaR) criterion is utilized to reduce the operational risk, and robustis further derived by linearizing the CVaR objective function and dualizing the infinite number of robust

Keywords： design post-disruption response strategy two-stage stochastic programming conditional value at risk robust

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Distributionally robust optimization of home energy management system based on receding horizon optimization

Jidong WANG, Boyu CHEN, Peng LI, Yanbo CHE

Frontiers in Energy 2020, Volume 14, Issue 2, Pages 254-266 doi: 10.1007/s11708-020-0665-4

Abstract: in home energy management system (HEMS) under uncertain environment by proposing a distributionally robustThe simulation results demonstrate that the scheduling results are robust under uncertain environmentFurthermore, compared with the robust optimization (RO) method, the RHO-DRO method proposed in this paper

Keywords： distributionally robust optimization (DRO) home energy management system (HEMS) receding horizon optimization