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| 1 | 不确定动态环境下移动机器人的完全遍历路径规划显示文摘基于生物激励神经网络、滚动窗口和启发式搜索,提出了一种新的完全遍历路径规划方法.该方法用G rossberg的生物神经网络实现移动机器人的局部环境建模,将滚动窗口的概念引入到局部路径规划,由启发式算法决定滚动窗口内的局域路径规划目标.该方法能在不确定动态环境中有效地实现机器人自主避障的完全遍历路径规划.仿真研究证明了该方法的可用性和有效性. | 邱雪娜 刘士荣 宋加涛 Simon X.YANG | 2006 | 机器人2006，28，6： | 26 |
| 2 | Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment显示文摘There is an ocean current in the actual underwater working environment. An improved self-organizing neural network task allocation model of multiple autonomous underwater vehicles(AUVs) is proposed for a three-dimensional underwater workspace in the ocean current. Each AUV in the model will be competed, and the shortest path under an ocean current and different azimuths will be selected for task assignment and path planning while guaranteeing the least total consumption. First, the initial position and orientation of each AUV are determined. The velocity and azimuths of the constant ocean current are determined. Then the AUV task assignment problem in the constant ocean current environment is considered. The AUV that has the shortest path is selected for task assignment and path planning. Finally, to prove the effectiveness of the proposed method, simulation results are given. | Da-qi ZHU Yun QU Simon X.YANG | 2019 | Frontiers of Information Technology & Electronic Engineering2019，20，3： | 8 |
| 3 | 基于三维体质心的无线传感器网络节点定位算法显示文摘针对无线传感器网络中传感器节点初始位置未知的问题,提出一种基于三维体质心的分布式无线传感器网络节点定位算法。算法假设网络中有一定比例的锚节点(位置已知的节点),利用三维辅助坐标系,建立节点间的通信约束关系和空间几何关系,研究三维空间内包含未知节点的三维体构成方法,确定三维体的多个侧面和曲面来构成曲面三维体;为了减小算法计算量和网络能耗,寻找与曲面三维体对应的由多个侧面组成的平面三维体,通过确定平面三维体的质心来获得曲面三维体质心,从而把曲面三维体的质心作为未知节点的估计位置。该算法是一种完全基于网络连通性的分布式算法,算法设计简单,计算量小,节点间通信开销少。仿真结果显示,该算法适合于各种规模的无线传感器网络的节点定位。 | 赖旭芝 王金鑫 曾桂秀 吴敏 佘锦华 Simon X.Yang | 2008 | 系统仿真学报2008，20，15： | 8 |
| 4 | 移动机器人的完全遍历路径规划:生物激励与启发式模板方法显示文摘提出了基于生物激励神经网络的一种新的完全遍历路径规划方法.该方法集成了模板模型、启发式搜索和障碍物逼近算法.一种称为分流合作-竞争反馈网络的生物激励神经网络被用于移动机器人的工作环境建模,而模板模型法、启发式算法和障碍物逼近算法用于移动机器人的避障路径规划,其中障碍物逼近算法能够实现不规则形状障碍物周边区域的遍历,以进一步改善路径规划的覆盖区域,仿真研究表明,本文方法使得路径规划的性能得到明显的改进,例如规划路径的重叠率,而且算法简单有效. | 邱雪娜 刘士荣 俞金寿 Simon X.Yang | 2006 | 模式识别与人工智能2006，19，1： | 7 |
| 5 | 基于遗传算法的三维无线传感器网络定位新算法显示文摘针对三维无线传感器网络节点自身定位问题,提出了一种基于遗传算法的新定位算法。该算法通过分析未知节点与它的无线射程范围内的已知节点之间的通讯约束和距离测量,对未知节点建立数学模型;针对此数学模型利用遗传算法求解,把该解作为未知节点的估计位置。理论分析和试验结果表明,该算法具有很强的健壮性,未知节点的失效和新节点的加入不会影响算法的性能,并且算法定位精度高,条件简单,适合各种规模的无线传感器网络的节点定位。 | 王金鑫 赖旭芝 吴敏 Simon X.Yang | 2008 | 高技术通讯2008，18，6： | 6 |
| 6 | 基于电子鼻的气体等级鉴别信号处理方法显示文摘本文介绍了电子鼻的概念及电子鼻信号处理的重要性。从理论研究与实验分析的角度探讨了独立分量分析、模糊神经网络等新方法在电子鼻信号处理中的作用。建立了对应的气体等级鉴别数学模型,并得到实验结果的验证。 | 刘瑜 田逢春 Simon X.Yang 代才莉 | 2007 | 信号处理2007，23，2： | 5 |
| 7 | “双导向-翻转-多层次”工程人才培养模式设计显示文摘工程技术人才是推动技术革新和社会进步的重要力量。我国在工程技术人才培养过程中还存在'重理论、轻实践',特色不明确,师资不完善等问题,借鉴国外工程技术人才培养模式,制定人才联动培养方案,搭建实验实践网络平台,构建'双导向-翻转-多层次'工科专业工程人才培养模式,可极大提高学生的创新思维和实践能力,实现工程人才培养目标。 | 邢亚阁 许青莲 车振明 马力 Simon X.Yang | 2017 | 中国高校科技2017，，8： | 2 |
| 8 | Robust stabilization and disturbance attenuation for a class of underactuated mechanical systems显示文摘The robust control problem for a class of underactuated mechanical systems called acrobots is addressed.The goal is to drive the acrobots away from the straight-down position and balance them at the straight-up unstable equilibrium position in the presence of parametric uncertainties and external disturbance.First,in the swing-up area,it is shown that the time derivative of energy is independent of the parameter uncertainties,but exogenous disturbance may destroy the characteristic of increase in mechanical energy.So,a swing-up controller with compensator is designed to suppress the influence of the disturbance.Then,in the attractive area,the control problem is formulated into a H∞ control framework by introducing a proper error signal,and a sufficient condition of the existence of H∞ state feedback control law based on linear matrix inequality(LMI) is proposed to guarantee the quadratic stability of the control system.Finally,the simulation results show that the proposed control approach can simultaneously handle a maximum ±10% parameter perturbation and a big disturbance simultaneously. | 赖旭芝 潘昌忠 吴敏 佘锦华 Simon X.YANG | 2012 | Journal of Central South University2012，19，9： | 1 |
| 9 | Bioinspired backstepping sliding mode control and adaptive sliding innovation filter of quadrotor unmanned aerial vehicles显示文摘Quadrotor unmanned aerial vehicles have become the most commonly used flying robots with wide applications in recent years.This paper presents a bioinspired control strategy by integrating the backstepping sliding mode control technique and a bioinspired neural dynamics model.The effects of both disturbances and system and measurement noises on the quadrotor unmanned aerial vehicle control performance have been addressed in this paper.The proposed control strategy is robust against disturbances with guaranteed stability proven by the Lyapunov stability theory.In addition,the proposed control strategy is capable of providing smooth control inputs under noises.Considering the modeling uncertainties,the adaptive sliding innovation filter is integrated with the proposed control to provide accurate state estimates to improve tracking effectiveness.Finally,the simulation results demonstrate that the proposed control strategy provides satisfactory tracking performance for a quadrotor unmanned vehicle operating under disturbances and noises. | Zhe Xu Tao Yan Simon X.Yang SAndrew Gadsden | 2023 | Biomimetic Intelligence & Robotics2023，3，3： | 0 |
| 10 | A hybrid tracking control strategy for an unmanned underwater vehicle aided with bioinspired neural dynamics显示文摘Tracking control has been a vital research topic in robotics.This paper presents a novel hybrid control strategy for an unmanned underwater vehicle(UUV)based on a bio-inspired neural dynamics model.An enhanced backstepping kinematic control strategy is first developed to avoid sharp velocity jumps and provides smooth velocity commands relative to conventional methods.Then,a novel sliding mode control is proposed,which is capable of providing smooth and continuous torque commands free from chattering.In comparative studies,the proposed combined hybrid control strategy has ensured control signal smoothness,which is critical in real‐world applications,especially for a UUV that needs to operate in complex underwater environments. | Zhe Xu Tao Yan Simon X.Yang S.Andrew Gadsden | 2022 | IET Cyber-Systems and Robotics2022，4，3： | 0 |
| 11 | Search for the rare decays W^(+)→D_(s)^(+)γ and Z→D^(0)γ at LHCb显示文摘A search for the rare decays W^(+)→D_(s)^(+)γ and Z→D0γis performed using proton-proton collision data collected by the LHCb experiment at a centre-of-mass energy of 13TeV,corresponding to an integrated luminosity of 2.0fb−1.No significant signal is observed for either decay mode and upper limits on their branching fractions are set using W^(+)→D_(s)^(+)γ and Z→μ+μ−decays as normalization channels.The upper limits are 6.5×10^(−4) and 2.1×10^(−3) at 95% confidence level for the W^(+)→D_(s)^(+)γ and Z→D^(0)γ decay modes,respectively.This is the first reported search for the Z→D^(0)γ decay,while the upper limit on the W+→D+sγbranching fraction improves upon the previous best limit. | R.Aaij A.S.W.Abdelmotteleb C.Abellan Beteta F.Abudinén T.Ackernley B.Adeva M.Adinolfi P.Adlarson H.Afsharnia C.Agapopoulou C.A.Aidala Z.Ajaltouni S.Akar K.Akiba J.Albrecht F.Alessio M.Alexander A.Alfonso Albero Z.Aliouche P.Alvarez Cartelle R.Amalric S.Amato J.L.Amey Y.Amhis L.An L.Anderlini M.Andersson A.Andreianov M.Andreotti D.Andreou D.Ao F.Archilli A.Artamonov M.Artuso E.Aslanides M.Atzeni B.Audurier S.Bachmann M.Bachmayer J.J.Back A.Bailly-reyre P.Baladron Rodriguez V.Balagura W.Baldini J.Baptista de Souza Leite M.Barbetti R.J.Barlow S.Barsuk W.Barter M.Bartolini F.Baryshnikov J.M.Basels G.Bassi B.Batsukh A.Battig A.Bay A.Beck M.Becker F.Bedeschi I.B.Bediaga A.Beiter V.Belavin S.Belin V.Bellee K.Belous I.Belov I.Belyaev G.Benane G.Bencivenni E.Ben-Haim A.Berezhnoy R.Bernet S.Bernet Andres D.Berninghoff H.C.Bernstein C.Bertella A.Bertolin C.Betancourt F.Betti Ia.Bezshyiko S.Bhasin J.Bhom L.Bian M.S.Bieker N.V.Biesuz S.Bifani P.Billoir A.Biolchini M.Birch F.C.R.Bishop A.Bitadze A.Bizzeti M.P.Blago T.Blake F.Blanc J.E.Blank S.Blusk D.Bobulska J.A.Boelhauve O.Boente Garcia T.Boettcher A.Boldyrev C.S.Bolognani R.Bolzonella N.Bondar F.Borgato S.Borghi M.Borsato J.T.Borsuk S.A.Bouchiba T.J.V.Bowcock A.Boyer C.Bozzi M.J.Bradley S.Braun A.Brea Rodriguez J.Brodzicka A.Brossa Gonzalo J.Brown D.Brundu A.Buonaura L.Buonincontri A.T.Burke C.Burr A.Bursche A.Butkevich J.S.Butter J.Buytaert W.Byczynski S.Cadeddu H.Cai R.Calabrese L.Calefice S.Cali R.Calladine M.Calvi M.Calvo Gomez P.Campana D.H.Campora Perez A.F.Campoverde Quezada S.Capelli L.Capriotti A.Carbone G.Carboni R.Cardinale A.Cardini P.Carniti L.Carus A.Casais Vidal R.Caspary G.Casse M.Cattaneo G.Cavallero V.Cavallini S.Celani J.Cerasoli D.Cervenkov A.J.Chadwick M.G.Chapman M.Charles Ph.Charpentier C.A.Chavez Barajas M.Chefdeville C.Chen S.Chen A.Chernov S.Chernyshenko V.Chobanova S.Cholak M.Chrzaszcz A.Chubykin V.Chulikov P.Ciambrone M.F.Cicala X.Cid Vidal G.Ciezarek G.Ciullo P.E.L.Clarke M.Clemencic H.V.Cliff J.Closier J.L.Cobbledick V.Coco J.A.B.Coelho J.Cogan E.Cogneras L.Cojocariu P.Collins T.Colombo L.Congedo A.Contu N.Cooke I.Corredoira G.Corti B.Couturier D.C.Craik M.Cruz Torres R.Currie C.L.Da Silva S.Dadabaev L.Dai X.Dai E.Dall'Occo J.Dalseno C.D'Ambrosio J.Daniel A.Danilina P.d'Argent J.E.Davies A.Davis O.De Aguiar Francisco J.de Boer K.De Bruyn S.De Capua M.De Cian U.De Freitas Carneiro Da Graca E.De Lucia J.M.De Miranda L.De Paula M.De Serio D.De Simone P.De Simone F.De Vellis J.A.de Vries C.T.Dean F.Debernardis D.Decamp V.Dedu L.Del Buono B.Delaney H.-P.Dembinski V.Denysenko O.Deschamps F.Dettori B.Dey P.Di Nezza I.Diachkov S.Didenko L.Dieste Maronas S.Ding V.Dobishuk A.Dolmatov C.Dong A.M.Donohoe F.Dordei A.C.dos Reis L.Douglas A.G.Downes P.Duda M.W.Dudek L.Dufour V.Duk P.Durante M.M.Duras J.M.Durham D.Dutta A.Dziurda A.Dzyuba S.Easo U.Egede V.Egorychev S.Eidelman C.Eirea Orro S.Eisenhardt E.Ejopu S.Ek-In L.Eklund S.Ely A.Ene E.Epple S.Escher J.Eschle S.Esen T.Evans F.Fabiano L.N.Falcao Y.Fan B.Fang L.Fantini M.Faria S.Farry D.Fazzini L.F Felkowski M.Feo M.Fernandez Gomez A.D.Fernez F.Ferrari L.Ferreira Lopes F.Ferreira Rodrigues S.Ferreres Sole M.Ferrillo M.Ferro-Luzzi S.Filippov R.A.Fini M.Fiorini M.Firlej K.M.Fischer D.S.Fitzgerald C.Fitzpatrick T.Fiutowski F.Fleuret M.Fontana F.Fontanelli R.Forty D.Foulds-Holt V.Franco Lima M.Franco Sevilla M.Frank E.Franzoso G.Frau C.Frei D.A.Friday J.Fu Q.Fuehring T.Fulghesu E.Gabriel G.Galati M.D.Galati A.Gallas Torreira D.Galli S.Gambetta Y.Gan M.Gandelman P.Gandini Y.Gao Y.Gao M.Garau L.M.Garcia Martin P.Garcia Moreno J.García Pardiaas B.Garcia Plana F.A.Garcia Rosales L.Garrido C.Gaspar R.E.Geertsema D.Gerick L.L.Gerken E.Gersabeck M.Gersabeck T.Gershon L.Giambastiani V.Gibson H.K.Giemza A.L.Gilman M.Giovannetti A.Gioventù P.Gironella Gironell C.Giugliano M.A.Giza K.Gizdov E.L.Gkougkousis V.V.Gligorov C.Gabel E.Golobardes D.Golubkov A.Golutvin A.Gomes S.Gomez Fernandez F.Goncalves Abrantes M.Goncerz G.Gong I.V.Gorelov C.Gotti J.P.Grabowski T.Grammatico L.A.Granado Cardoso E.Graugés E.Graverini G.Graziani A.T.Grecu L.M.Greeven N.A.Grieser L.Grillo S.Gromov B.R.Gruberg Cazon C.Gu M.Guarise M.Guittiere P.A.Günther E.Gushchin A.Guth Y.Guz T.Gys T.Hadavizadeh C.Hadjivasiliou G.Haefeli C.Haen J.Haimberger S.C.Haines T.Halewood-leagas M.M.Halvorsen P.M.Hamilton J.Hammerich Q.Han X.Han E.B.Hansen S.Hansmann-Menzemer L.Hao N.Harnew T.Harrison C.Hasse M.Hatch J.He K.Heijhoff C.Henderson R.D.L.Henderson A.M.Hennequin K.Hennessy L.Henry J.Herd J.Heuel A.Hicheur D.Hill M.Hilton S.E.Hollitt J.Horswill R.Hou Y.Hou J.Hu J.Hu W.Hu X.Hu W.Huang X.Huang W.Hulsbergen R.J.Hunter M.Hushchyn D.Hutchcroft P.Ibis M.Idzik D.Ilin P.Ilten A.Inglessi A.Iniukhin A.Ishteev K.Ivshin R.Jacobsson H.Jage S.J.Jaimes Elles S.Jakobsen E.Jans B.K.Jashal A.Jawahery V.Jevtic E.Jiang X.Jiang Y.Jiang M.John D.Johnson C.R.Jones T.P.Jones B.Jost N.Jurik I.Juszczak S.Kandybei Y.Kang M.Karacson D.Karpenkov M.Karpov J.W.Kautz F.Keizer D.M.Keller M.Kenzie T.Ketel B.Khanji A.Kharisova S.Kholodenko G.Khreich T.Kirn V.S.Kirsebom O.Kitouni S.Klaver N.Kleijne K.Klimaszewski M.R.Kmiec S.Koliiev A.Kondybayeva A.Konoplyannikov P.Kopciewicz R.Kopecna P.Koppenburg M.Korolev I.Kostiuk O.Kot S.Kotriakhova A.Kozachuk P.Kravchenko L.Kravchuk R.D.Krawczyk M.Kreps S.Kretzschmar P.Krokovny W.Krupa W.Krzemien J.Kubat S.Kubis W.Kucewicz M.Kucharczyk V.Kudryavtsev A.Kupsc D.Lacarrere G.Lafferty A.Lai A.Lampis D.Lancierini C.Landesa Gomez J.J.Lane R.Lane G.Lanfranchi C.Langenbruch J.Langer O.Lantwin T.Latham F.Lazzari M.Lazzaroni R.Le Gac S.H.Lee R.Lefèvre A.Leflat S.Legotin P.Lenisa O.Leroy T.Lesiak B.Leverington A.Li H.Li K.Li P.Li P.-R.Li S.Li T.Li T.Li Y.Li Z.Li X.Liang C.Lin T.Lin R.Lindner V.Lisovskyi R.Litvinov G.Liu H.Liu Q.Liu S.Liu A.Lobo Salvia A.Loi R.Lollini J.Lomba Castro I.Longstaff J.H.Lopes A.Lopez Huertas S.López Soliao G.H.Lovell Y.Lu C.Lucarelli D.Lucchesi S.Luchuk M.Lucio Martinez V.Lukashenko Y.Luo A.Lupato E.Luppi A.Lusiani K.Lynch X.-R.Lyu L.Ma R.Ma S.Maccolini F.Machefert F.Maciuc I.Mackay V.Macko P.Mackowiak L.R.Madhan Mohan A.Maevskiy D.Maisuzenko M.W.Majewski J.J.Malczewski S.Malde B.Malecki A.Malinin T.Maltsev G.Manca G.Mancinelli C.Mancuso D.Manuzzi C.A.Manzari D.Marangotto J.F.Marchand U.Marconi S.Mariani C.Marin Benito J.Marks A.M.Marshall P.J.Marshall G.Martelli G.Martellotti L.Martinazzoli M.Martinelli D.Martinez Santos F.Martinez Vidal A.Massafferri M.Materok R.Matev A.Mathad V.Matiunin C.Matteuzzi K.R.Mattioli A.Mauri E.Maurice J.Mauricio M.Mazurek M.McCann L.Mcconnell T.H.McGrath N.T.McHugh A.McNab R.McNulty J.V.Mead B.Meadows G.Meier D.Melnychuk S.Meloni M.Merk A.Merli L.Meyer Garcia D.Miao M.Mikhasenko D.A.Milanes E.Millard M.Milovanovic M.-N.Minard A.Minotti T.Miralles S.E.Mitchell B.Mitreska D.S.Mitzel A.Madden R.A.Mohammed R.D.Moise S.Mokhnenko T.Mombacher M.Monk I.A.Monroy S.Monteil M.Morandin G.Morello M.J.Morello J.Moron A.B.Morris A.G.Morris R.Mountain H.Mu E.Muhammad F.Muheim M.Mulder K.Müller C.H.Murphy D.Murray R.Murta P.Muzzetto P.Naik T.Nakada R.Nandakumar T.Nanut I.Nasteva M.Needham N.Neri S.Neubert N.Neufeld P.Neustroev R.Newcombe J.Nicolini E.M.Niel S.Nieswand 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