美女精品视频-美女精品一区-美女毛片AV-美女毛片视频-美女毛片网站-美女免费视频网站-美女内射视频网站-美女内射网站

JAS多篇論文入選高影響力論文

日期：2022-11-01 09:35



近日，中國知網（CNKI）學術精要數據庫基于中國知網資源總庫遴選各學科代表性論文，發布了2011-2022年高影響力論文。JAS自2014年創刊以來發表的論文共有259篇入選，包括47篇Top1% 高被引/高下載/高PCSI論文。限于篇幅，以下為2021-2022年入選的15篇Top1%論文，歡迎閱覽。



1

G. Franzè, F. Tedesco, and D. Famularo, "Resilience against replay attacks: A distributed model predictive control scheme for networked multi-agent systems," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 628-640, Mar. 2021. 

doi: 10.1109/JAS.2020.1003542


Abstract

In this paper, a resilient distributed control scheme against replay attacks for multi-agent networked systems subject to input and state constraints is proposed. The methodological starting point relies on a smart use of predictive arguments with a twofold aim: 1) Promptly detect malicious agent behaviors affecting normal system operations; 2) Apply specific control actions, based on predictive ideas, for mitigating as much as possible undesirable domino effects resulting from adversary operations. Specifically, the multi-agent system is topologically described by a leader-follower digraph characterized by a unique leader and set-theoretic receding horizon control ideas are exploited to develop a distributed algorithm capable to instantaneously recognize the attacked agent. Finally, numerical simulations are carried out to show benefits and effectiveness of the proposed approach.

2

Q. L. Wei, X. Wang, X. N. Zhong, and N. Q. Wu, "Consensus control of leader-following multi-agent systems in directed topology with heterogeneous disturbances," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 423-431, Feb. 2021. 

doi: 10.1109/JAS.2021.1003838


Abstract

This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown motion. Its main contribution is that a control scheme is designed to achieve the dynamic consensus for the multi-agent systems in directed topology interfered by stochastic noise. In traditional ways, the coupling weights depending on the communication structure are static. A new distributed controller is designed based on Riccati inequalities, while updating the coupling weights associated with the gain matrix by state errors between adjacent agents. By introducing time-varying coupling weights into this novel control law, the state errors between leader and followers asymptotically converge to the minimum value utilizing the local interaction. Through the Lyapunov directed method and It? formula, the stability of the closed-loop system with the proposed control law is analyzed. Two simulation results conducted by the new and traditional schemes are presented to demonstrate the effectiveness and advantage of the developed control method.


3

K. Majdoub, F. Giri, and F.-Z. Chaoui, "Adaptive backstepping control design for semi-active suspension of half-vehicle with magnetorheological damper," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 582-596, Mar. 2021. 

doi: 10.1109/JAS.2020.1003521 


Abstract

This paper investigates the problem of controlling half-vehicle semi-active suspension system involving a magnetorheological (MR) damper. This features a hysteretic behavior that is presently captured through the nonlinear Bouc-Wen model. The control objective is to regulate well the heave and the pitch motions of the chassis despite the road irregularities. The difficulty of the control problem lies in the nonlinearity of the system model, the uncertainty of some of its parameters, and the inaccessibility to measurements of the hysteresis internal state variables. Using Lyapunov control design tools, we design two observers to get online estimates of the hysteresis internal states and a stabilizing adaptive state-feedback regulator. The whole adaptive controller is formally shown to meet the desired control objectives. This theoretical result is confirmed by several simulations demonstrating the supremacy of the latter compared to the skyhook control and passive suspension.


4

W. He, X. X. Mu, L. Zhang, and Y. Zou, "Modeling and trajectory tracking control for flapping-wing micro aerial vehicles," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 148-156, Jan. 2021. 

doi: 10.1109/JAS.2020.1003417 


Abstract

This paper studies the trajectory tracking problem of flapping-wing micro aerial vehicles (FWMAVs) in the longitudinal plane. First of all, the kinematics and dynamics of the FWMAV are established, wherein the aerodynamic force and torque generated by flapping wings and the tail wing are explicitly formulated with respect to the flapping frequency of the wings and the degree of tail wing inclination. To achieve autonomous tracking, an adaptive control scheme is proposed under the hierarchical framework. Specifically, a bounded position controller with hyperbolic tangent functions is designed to produce the desired aerodynamic force, and a pitch command is extracted from the designed position controller. Next, an adaptive attitude controller is designed to track the extracted pitch command, where a radial basis function neural network is introduced to approximate the unknown aerodynamic perturbation torque. Finally, the flapping frequency of the wings and the degree of tail wing inclination are calculated from the designed position and attitude controllers, respectively. In terms of Lyapunov’s direct method, it is shown that the tracking errors are bounded and ultimately converge to a small neighborhood around the origin. Simulations are carried out to verify the effectiveness of the proposed control scheme.


5

X. Yang, L. Shu, J. N. Chen, M. A. Ferrag, J. Wu, E. Nurellari, and K. Huang, "A survey on smart agriculture: Development modes, technologies, and security and privacy challenges," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 273-302, Feb. 2021. 

doi: 10.1109/JAS.2020.1003536 


Abstract

With the deep combination of both modern information technology and traditional agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come. Smart agriculture provides solutions for agricultural intelligence and automation. However, information security issues cannot be ignored with the development of agriculture brought by modern information technology. In this paper, three typical development modes of smart agriculture (precision agriculture, facility agriculture, and order agriculture) are presented. Then, 7 key technologies and 11 key applications are derived from the above modes. Based on the above technologies and applications, 6 security and privacy countermeasures (authentication and access control, privacy-preserving, blockchain-based solutions for data integrity, cryptography and key management, physical countermeasures, and intrusion detection systems) are summarized and discussed. Moreover, the security challenges of smart agriculture are analyzed and organized into two aspects: 1) agricultural production, and 2) information technology. Most current research projects have not taken agricultural equipment as potential security threats. Therefore, we did some additional experiments based on solar insecticidal lamps Internet of Things, and the results indicate that agricultural equipment has an impact on agricultural security. Finally, more technologies (5G communication, fog computing, Internet of Everything, renewable energy management system, software defined network, virtual reality, augmented reality, and cyber security datasets for smart agriculture) are described as the future research directions of smart agriculture.


6

D. Zhang, G. Feng, Y. Shi, and D. Srinivasan, "Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 319-333, Feb. 2021. 

doi: 10.1109/JAS.2021.1003820 


Abstract

Multi-agent systems (MASs) are typically composed of multiple smart entities with independent sensing, communication, computing, and decision-making capabilities. Nowadays, MASs have a wide range of applications in smart grids, smart manufacturing, sensor networks, and intelligent transportation systems. Control of the MASs are often coordinated through information interaction among agents, which is one of the most important factors affecting coordination and cooperation performance. However, unexpected physical faults and cyber attacks on a single agent may spread to other agents via information interaction very quickly, and thus could lead to severe degradation of the whole system performance and even destruction of MASs. This paper is concerned with the safety/security analysis and synthesis of MASs arising from physical faults and cyber attacks, and our goal is to present a comprehensive survey on recent results on fault estimation, detection, diagnosis and fault-tolerant control of MASs, and cyber attack detection and secure control of MASs subject to two typical cyber attacks. Finally, the paper concludes with some potential future research topics on the security issues of MASs.


7

W. J. Zhang, J. C. Wang, and F. P. Lan, "Dynamic hand gesture recognition based on short-term sampling neural networks," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 110-120, Jan. 2021. 

doi: 10.1109/JAS.2020.1003465 


Abstract

Hand gestures are a natural way for human-robot interaction. Vision based dynamic hand gesture recognition has become a hot research topic due to its various applications. This paper presents a novel deep learning network for hand gesture recognition. The network integrates several well-proved modules together to learn both short-term and long-term features from video inputs and meanwhile avoid intensive computation. To learn short-term features, each video input is segmented into a fixed number of frame groups. A frame is randomly selected from each group and represented as an RGB image as well as an optical flow snapshot. These two entities are fused and fed into a convolutional neural network (ConvNet) for feature extraction. The ConvNets for all groups share parameters. To learn long-term features, outputs from all ConvNets are fed into a long short-term memory (LSTM) network, by which a final classification result is predicted. The new model has been tested with two popular hand gesture datasets, namely the Jester dataset and Nvidia dataset. Comparing with other models, our model produced very competitive results. The robustness of the new model has also been proved with an augmented dataset with enhanced diversity of hand gestures.


8

W. M. Chang, Y. M. Li, and S. C. Tong, "Adaptive fuzzy backstepping tracking control for flexible robotic manipulator," IEEE/CAA J. Autom. Sinica, vol. 8, no. 12, pp. 1923-1930, Dec. 2021. 

doi: 10.1109/JAS.2017.7510886 


Abstract

In this paper, an adaptive fuzzy state feedback control method is proposed for the single-link robotic manipulator system. The considered system contains unknown nonlinear function and actuator saturation. Fuzzy logic systems (FLSs) and a smooth function are used to approximate the unknown nonlinearities and the actuator saturation, respectively. By combining the command-filter technique with the backstepping design algorithm, a novel adaptive fuzzy tracking backstepping control method is developed. It is proved that the adaptive fuzzy control scheme can guarantee that all the variables in the closed-loop system are bounded, and the system output can track the given reference signal as close as possible. Simulation results are provided to illustrate the effectiveness of the proposed approach.


9

G. H. Lin, H. Y. Li, H. Ma, D. Y. Yao, and R. Q. Lu, "Human-in-the-loop consensus control for nonlinear multi-agent systems with actuator faults," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 111-122, Jan. 2022. doi: 10.1109/JAS.2020.1003596 


Abstract

This paper considers the human-in-the-loop leader-following consensus control problem of multi-agent systems (MASs) with unknown matched nonlinear functions and actuator faults. It is assumed that a human operator controls the MASs via sending the command signal to a non-autonomous leader which generates the desired trajectory. Moreover, the leader’s input is nonzero and not available to all followers. By using neural networks and fault estimators to approximate unknown nonlinear dynamics and identify the actuator faults, respectively, the neighborhood observer-based neural fault-tolerant controller with dynamic coupling gains is designed. It is proved that the state of each follower can synchronize with the leader’s state under a directed graph and all signals in the closed-loop system are guaranteed to be cooperatively uniformly ultimately bounded. Finally, simulation results are presented for verifying the effectiveness of the proposed control method.


10

X. Ge, S. Xiao, Q.-L. Han, X.-M. Zhang, and D. Ding, "Dynamic event-triggered scheduling and platooning control co-design for automated vehicles over vehicular ad-hoc networks," IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 31-46, Jan. 2022. 

doi: 10.1109/JAS.2021.1004060 


Abstract

This paper deals with the co-design problem of event-triggered communication scheduling and platooning control over vehicular ad-hoc networks (VANETs) subject to finite communication resource. First, a unified model is presented to describe the coordinated platoon behavior of leader-follower vehicles in the simultaneous presence of unknown external disturbances and an unknown leader control input. Under such a platoon model, the central aim is to achieve robust platoon formation tracking with desired inter-vehicle spacing and same velocities and accelerations guided by the leader, while attaining improved communication efficiency. Toward this aim, a novel bandwidth-aware dynamic event-triggered scheduling mechanism is developed. One salient feature of the scheduling mechanism is that the threshold parameter in the triggering law is dynamically adjusted over time based on both vehicular state variations and bandwidth status. Then, a sufficient condition for platoon control system stability and performance analysis as well as a co-design criterion of the admissible event-triggered platooning control law and the desired scheduling mechanism are derived. Finally, simulation results are provided to substantiate the effectiveness and merits of the proposed co-design approach for guaranteeing a trade-off between robust platooning control performance and communication efficiency.


11

Y. Z. Liu, Z. Y. Meng, Y. Zou, and M. Cao, "Visual object tracking and servoing control of a nano-scale quadrotor: System, algorithms, and experiments," IEEE/CAA J. Autom. Sinica, vol. 8, no. 2, pp. 344-360, Feb. 2021. 

doi: 10.1109/JAS.2020.1003530 


Abstract

There are two main trends in the development of unmanned aerial vehicle (UAV) technologies: miniaturization and intellectualization, in which realizing object tracking capabilities for a nano-scale UAV is one of the most challenging problems. In this paper, we present a visual object tracking and servoing control system utilizing a tailor-made 38 g nano-scale quadrotor. A lightweight visual module is integrated to enable object tracking capabilities, and a micro positioning deck is mounted to provide accurate pose estimation. In order to be robust against object appearance variations, a novel object tracking algorithm, denoted by RMCTer, is proposed, which integrates a powerful short-term tracking module and an efficient long-term processing module. In particular, the long-term processing module can provide additional object information and modify the short-term tracking model in a timely manner. Furthermore, a position-based visual servoing control method is proposed for the quadrotor, where an adaptive tracking controller is designed by leveraging backstepping and adaptive techniques. Stable and accurate object tracking is achieved even under disturbances. Experimental results are presented to demonstrate the high accuracy and stability of the whole tracking system.


12

J. Zhang, L. Pan, Q.-L. Han, C. Chen, S. Wen, and Y. Xiang, "Deep learning based attack detection for cyber-physical system cybersecurity: A survey," IEEE/CAA J. Autom. Sinica, vol. 9, no. 3, pp. 377-391, Mar. 2022. 

doi: 10.1109/JAS.2021.1004261 


Abstract

With the booming of cyber attacks and cyber criminals against cyber-physical systems (CPSs), detecting these attacks remains challenging. It might be the worst of times, but it might be the best of times because of opportunities brought by machine learning (ML), in particular deep learning (DL). In general, DL delivers superior performance to ML because of its layered setting and its effective algorithm for extract useful information from training data. DL models are adopted quickly to cyber attacks against CPS systems. In this survey, a holistic view of recently proposed DL solutions is provided to cyber attack detection in the CPS context. A six-step DL driven methodology is provided to summarize and analyze the surveyed literature for applying DL methods to detect cyber attacks against CPS systems. The methodology includes CPS scenario analysis, cyber attack identification, ML problem formulation, DL model customization, data acquisition for training, and performance evaluation. The reviewed works indicate great potential to detect cyber attacks against CPS through DL modules. Moreover, excellent performance is achieved partly because of several high-quality datasets that are readily available for public use. Furthermore, challenges, opportunities, and research trends are pointed out for future research.


13

Z. L. Yuan, X. R. Li, D. Wu, X. J. Ban, N.-Q. Wu, H.-N. Dai, and H. Wang, “Continuous-time prediction of industrial paste thickener system with differential ODE-net,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 4, pp. 686–698, Apr. 2022. 

doi: 10.1109/JAS.2022.105464 


Abstract

It is crucial to predict the outputs of a thickening system, including the underflow concentration (UC) and mud pressure, for optimal control of the process. The proliferation of industrial sensors and the availability of thickening-system data make this possible. However, the unique properties of thickening systems, such as the non-linearities, long-time delays, partially observed data, and continuous time evolution pose challenges on building data-driven predictive models. To address the above challenges, we establish an integrated, deep-learning, continuous time network structure that consists of a sequential encoder, a state decoder, and a derivative module to learn the deterministic state space model from thickening systems. Using a case study, we examine our methods with a tailing thickener manufactured by the FLSmidth installed with massive sensors and obtain extensive experimental results. The results demonstrate that the proposed continuous-time model with the sequential encoder achieves better prediction performances than the existing discrete-time models and reduces the negative effects from long time delays by extracting features from historical system trajectories. The proposed method also demonstrates outstanding performances for both short and long term prediction tasks with the two proposed derivative types.


14

L. Jin, X. Zheng, and  X. Luo,  “Neural dynamics for distributed collaborative control of manipulators with time delays,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 854–863, May 2022. 

doi: 10.1109/JAS.2022.105446 


Abstract

Time-delay phenomena extensively exist in practical systems, e.g., multi-agent systems, bringing negative impacts on their stabilities. This work analyzes a collaborative control problem of redundant manipulators with time delays and proposes a time-delayed and distributed neural dynamics scheme. Under assumptions that the network topology is fixed and connected and the existing maximal time delay is no more than a threshold value, it is proved that all manipulators in the distributed network are able to reach a desired motion. The proposed distributed scheme with time delays considered is converted into a time-variant optimization problem, and a neural dynamics solver is designed to solve it online. Then, the proposed neural dynamics solver is proved to be stable, convergent and robust. Additionally, the allowable threshold value of time delay that ensures the proposed scheme’s stability is calculated. Illustrative examples and comparisons are provided to intuitively prove the validity of the proposed neural dynamics scheme and solver.



15

S. P. Madruga, A. H. B. M. Tavares, S. O. D. Luiz, T. P. do Nascimento, and A. M. N. Lima, "Aerodynamic effects compensation on multi-rotor UAVs based on a neural network control allocation approach," IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 295-312, Feb. 2022. 

doi: 10.1109/JAS.2021.1004266 


Abstract

This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural networks. Thus, the system performance can be improved by replacing the classic allocation matrix, without using the aerodynamic inflow equations directly. The network training is performed offline, which requires low computational power. The target system is a Parrot MAMBO drone whose flight control is composed of PD-PID controllers followed by the proposed neural network control allocation algorithm. Such a quadrotor is particularly susceptible to the aerodynamics effects of interest to this work, because of its small size. We compared the mechanical torques commanded by the flight controller, i.e., the control input, to those actually generated by the actuators and established at the aircraft. It was observed that the proposed neural network was able to closely match them, while the classic allocation matrix could not achieve that. The allocation error was also determined in both cases. Furthermore, the closed-loop performance also improved with the use of the proposed neural network control allocation, as well as the quality of the thrust and torque signals, in which we perceived a much less noisy behavior.




指標說明


高被引論文


同年度同學科同種文獻類型（研究型、綜述型文獻）的國內期刊、會議論文中，總被引頻次排名前1%的論文，即高被引論文Top1%。

高下載論文


同年度同學科同種文獻類型（研究型、綜述型文獻）的國內期刊、會議論文中，總下載頻次排名前1%的論文，即高下載論文Top1%。

高PCSI論文


同年度同學科同種文獻類型（研究型、綜述型文獻）的國內期刊、會議論文中，PCSI指數排名前1%的論文，即高PCSI論文Top1%。PCSI指數（論文引證標準化指數）為將（PCSI統計源）被引頻次進行歸一化處理后所得到的相對影響力評價指標，能夠表征論文被“控制后統計源”引用的次數與同學科同年度論文平均水平的差距，該指標可以實現不同學科不同年度論文之間的比較。


來源：JAS自動化學報英文版

日产成人高清视频 | 国产看片短视 | 国产伦一区二区三 | 午夜视频日韩 | 日韩a草 | 国产91精品看黄 | 青草青草久 | 丝袜视频国产一区 | 91国语福利影院 | 日本五级床片午 | 国产精品第18页 | 日本丶国产 | 99热在线精品8 | 国产免费一区 | 福利所导航 | 拍拍拍免费视频网站 | 91视频站 | 国产综合在 | 国产精品14p | 97观看精品| 韩国91色哟哟 | 精品国精品国产自在 | 青青在线国产精品 | 伦理秋霞电影网 | 中文字幕在线第一页 | 国产精选在线观 | 日韩国产精 | 国产精品亲子乱子伦 | 国产涩涩 | 91宅福利 | 午夜99| 99热婷婷| 韩剧网首页 | 欧美日韩一级免 | 国产福利在| 九热官网 | 国产在线不卡 | 日本在线视频 | 国产乱子伦视频三区 | 日韩一区国产一级 | 欧美日韩视频在线 | 日韩午夜视频欧美 | 日本高清在线 | 91偷拍一区二区 | 成人午夜三 | 日本欧美大 | 国产尤物a | 欧美亚洲在线观看 | 国产高清不卡在线 | 91大神福 | 国产在线拍 | 日韩欧美亚洲综合 | 日韩a在线| 岛国成人一区二区 | 国产有码一级 | 午夜高清性色生活片 | 精品成人一区二区 | 成人影视 | 午夜福利影视大全 | 国产亚洲美女精品 | 精品蜜桃 | 成人午夜福利片 | 日本一二三区成人 | 国产欧美国日产综合 | 91一区二区在线 | 国产家庭影院 | 国偷自产一区二区 | 三级a三级三级 | 国产激情中文在线 | 国产丝袜视频在 | 国语自产拍在线 | 欧美日韩成人在看 | 成人国产精品秘 | 精品国产系列 | 日本亚洲精品 | 韩国三级hd中文 | 国产免费久 | 91国产爽爽黄在 | 精品国产人成亚洲区 | 日本不卡高清视国 | www.日| 精品一区二区成人 | 国产在线观看免费 | 最新无码国产网站 | 国产精品成人国产 | 成人午夜动漫 | 91视频副利网 | 91精品电影| 国产视频一区二区 | 国产日韩视频一区 | 午夜电影一区 | 欧美日韩看片 | 午夜免费福利 | 国产精品极品美 | 国产91白丝在 | 国产精品之国产精品 | 国产日本韩国福利 | 人人干在线视频 | 日韩午夜性片 | 欧美一级| 午夜理伦片免费 | 国产亚洲精品美 | 91精品福利在 | 国产精品成人午 | 中文字幕乱码 | 国产大片黄在线观看 | 国产精品婷婷午夜 | 国产老妇伦 | 福利秀视频在线播放 | 成人一区在线看 | 日韩欧美福利在线 | 麻花传剧 | 九七电影网在线 | 成人精品色在线 | 国产精品偷伦 | 日产国产欧美视 | 论理电影 | 成人亚洲综合 | 精品视频免费 | 国产午夜视频在线 | 国产精品自拍第一页 | 国产精品免费网站 | 国产精品视频美女网 | 91李宗精品72 | 成人免费精品视频 | 伦理片在线观看伦 | 日韩a级片视频 | 91国产在线| 国产精品自在拍在 | 日本电影精品久 | 日本成a | 午夜国产免费 | 精品尤物在| 日韩精品不卡 | 欧洲一级欧美一级a | 国产在线观看黄丝袜 | 国内精品无| 日本很污很黄小 | 91视频免费下载 | 福利在线观看 | 91精品视频在线 | 国产一区二区在 | 成人七区免费观看 | 区二区精品专区发 | 午夜福利片 | 国产日韩在线视频 | 国产舌乚| 欧美日韩国产一级 | 国产免费人 | 日本影片一区二区 | 国产成a人亚洲精v | 福利免费视频在线 | 国产在线精 | 精品免费在线观看 | 99爽99| 国产欧美日本精品 | 三级网站 | 91伊人影院| 国产一区二区三区 | 国产资源一区 | 国产主播剧情在线 | 乱小说区电影区 | 国产真实迷奷 | 国产放荡对白视 | 欧美综合国产 | 国偷自产a | 91红桃| 国产女主播一区 | 欧洲日韩极速播放 | 国产未成女一区二区 | 国产777| 国产婷婷| 频精品99| 日韩在线精品免 | 国产人成亚 | 国产精品的国产 | 老熟女重囗味 | 人兽免费新网址 | 天美传媒精品 | 伦理一区二区 | 91午夜在线观看 | 91福利色资源 | 91精品国产乱 | 91蜜臀视频 | 乱码女一区二区三区 | 精品一区二区视频在 | 国产卡一卡二卡三卡 | 精品欧美一区二区视 | 午夜影院在线观看 | 91豆奶app| 国产高清自偷自 | 国产福利91网在 | 国产未成女 | 日韩好看中文字母 | 国产性夜夜春夜夜爽 | 日本搞黄在线观看 | 国产精品喷潮免费观 | 97色导航 | 国产午夜一区精品 | 国产老熟女网站 | 国产99@热| 成人黄动漫在线观看 | 国产做爰一区二区 | 日韩欧美一二三区 | 91自产啪| 国产区视频在线 | 国产肥熟 | 日本韩国在线电影 | 91女神在线 | 91午夜福利导航 | 精品美女 | 91神马午夜福利 | 成人激情视频在线 | 成人精品人成网站 | 国产午夜不卡一区 | 国产偷窥熟女精 | 国产又猛又黄又爽 | 中文字幕二区在线 | 国产精品第157页 | 国产精品综合亚洲 | 国产绿帽视频网站 | 欧美一级高 | 成人影院一区二区 | 国产日韩欧美一区精 | 欧美三极婬片网站 | 成人高清在线视频 | 国产亚洲成aⅴ | 91免费福利电影 | 区免费在线观看 | 日韩专区中文字幕 | 97精品国| 国产精品直 | 国产伊煮焦成品75 | 欧美一级日韩一级 | 国产91对白在 | 国产视频第一页 | 成人三级在线播放 | 国产伦一区二区三 | 福利片一区二区 | 日本國產在線視頻 | 97ssee| 国产精品玖玖视频 | 狠狠狠地啪香蕉 | 日本免费成人 | 成人一区二区在线 | 国产精品天干天干 | 国产九九精品在线 | 国产亚洲成aⅴ | 理论在线影院 | 国产午夜无 | 午夜理论影院 | 国产免费日本高清 | 91视频一区在线 | 97视频在线播放 | 欧美日韩国产不卡 | 激情五月综合 | 精品蜜桃臀 | 国产国语对 | 国产精品伦理在线 | 九色国产熟女 | 国产精品一区12p | 91九色风韵老熟女 | 国产在线视频不卡 | 午夜不卡影院 | 日韩电影在线一区 | 国产精品九九片 | 精品欧美一区 | 91福利社区视频 | 欧美一区二区免费 | 午夜成人看片日韩 | 日韩在线观看福利片 | 精品国产品国语 | 日韩在线免费看网站 | 国产有码在线观看 | 国产性天天综合网 | 国产精品国产 | 国产伦精品 | 国产一区视频观看 | 乱伦国产影视欧美 | 欧美日韩第一区 | 日本在线免 | 国产尤物尤物在线看 | 国产精品天干天天 | 99成人免费视 | 成人拍拍拍在线观看 | 国产乱子伦视频观看 | 日本电影精品久 | 国产92刮伦脏话对 | 国产精品高清99 | 91蝌蚪在线 | 午夜福利在线91 | 国产自产免费在线 | 国产露脸刺激对白 | 日韩中文视 | 欧美在线一区二区 | 无码精品亚| 福利小导航 | 91污视频| 成人影院免费观看 | 日韩国产福利 | 欧美一区在线日韩 | 国产精品第一页 | 国产激情大| 国产玉足在线 | 国产激情在线观看 | 久综合网 | 制服丝袜综 | 日本电影一区二区 | 91人成亚洲高清在 | 福利破解视频导航 | 国产日韩网址导航 | 日韩系列在线 | 精品国产呦 | 片完整片视频在线 | 国产福利导航大全 | 欧美一级淫片 | 91国内精品在线 | 欧美亚洲视 | 国产日韩中文字幕 | 最新日韩欧美视频 | 日韩一区二区免费看 | 午夜免费日韩小电影 | 成人免费电影 | 欧美一级成人观 | 国产资源中文字幕 | 欧美午夜理伦三 | 国产91精品 | 日本乱伦网站 | 成人h视频在线观看 | 成人午夜网址 | 91精品国产色综 | 国产二三区 | 福利导航在线播放 | 午夜日韩刺激 | 动漫精品一区二 | 精品欧美乱伦 | 精品在线观看 | 欧美日韩电影 | 日本精品在线网址 | 91精品9| 福利午夜一级a | 日韩中文在线字 | 国产亚洲欧美视频 | 97国产一区二| 国产精品高清自在线 | 午夜欧美日韩精品 | 国产男同gaya | 国产爽片 | 精品福利导航视频 | 美腿丝袜在线播放 | 海角大神邻居 | 国产老妇伦| 国产欧洲在线播放 | 日本三级网址狠狠 | 午夜福利体验区 | 97免费在线视频 | 欧美日韩一区观看 | 国产素人自拍偷拍 | 精品国产爱片 | 国产精品亚洲玖玖 | 九草免费在线观看 | 国产在线观看第二页 | 99r精品亚洲 | 品善网日本在线 | 日韩高清va视频 | 噼里啪啦国语 | 97在线视频精品 | 国产性生大 | 91精品秘在线观看 | 91网址| 成人亚欧| 国产精品美女 | 91精品国产色综 | 成人论坛网 | 国产女同百合91 | 欧美与黑人 | 国产手机在线小视频 | 日韩精品欧美有码 | 国产精品自产拍在 | 日韩午夜片 | 国产18女下| 蜜桃传媒在 | 国产精品刮 | 日本精品在线看 | 日韩在线最新国产 | 欧美一级成人观看 | 99超级在线视频 | 欧美日韩一二三四区 | 欧美重口另类在 | 国产初次在线观看 | 91人人澡人 | 伦子系列午睡沙发 | 国产欧美成 | 日韩制服丝袜电影 | 日本一本高清视 | 欧美三级伦理 | 国产专区在线 | 精品视频一 | 日韩毛A | 国产福利众筹视频 | 国产sm重味一| 国产97在线看| 国产精品美女视频 | 精品区在线观看 | 日韩争樱花起源 | 日韩午夜影視 | 日韩视频第1 | 日韩午夜福利在线 | 另类重口 | 日本色免费一区二区 | 美腿丝袜在线播放 | 国产喷水在线观看 | 日本高清无卡码一区 | 国产又黄又 | 日韩成人B影院 | 欧美在线一区视频 | 三级高清精品国产 | 欧美最近 | 欧美亚洲xxx | 欧美日韩日处女黑人 | 国产高清乱理 | 91福利视| www.伊人| 国产在线看片 | 日韩欧美永久中文 | 国产v亚洲v天堂 | 国产精品第32页 | 精品热在线 | 日本免费中文字 | 91香蕉亚洲 | 午夜国产精品国产 | 国产A∨| 动漫一区二区中文 | 国产亚洲美女精品 | 97成人大片 | 成人午夜影院 | 日本在线www色 | 99在线视 | 国产激情久 | 欧美亚洲日本韩国 | 欧美一区二区不卡高 | 日韩在线一二三四区 | 乱码一二区在线亚洲 | 国产在线成人精 | 91短视频网址 | 日韩专区+ | 国产中文字 | 国产熟女| 国产男女猛烈 | 日韩欧美1区 | 91免费版下载 | 国产精品欧美专区 | 韩日成人 | 玖玖导航| 韩国日本午 | 日韩欧美亚洲三 | 国产人成精品综 | 99热在线观看精品 | 日产无线码一区 | 国产不卡三区 | 福利写真影院 | 日韩一区二区在线 | 国产欧美二区三区 | 日韩午夜免费免费 | 欧美日韩四区在线 | 国产/精品 | 日韩精品天堂系列 | 国产在线观看黄丝袜 | 91视频h| 无码潮喷a片无码高潮快三 无码潮喷中文 | 91大神在线| 无码精品视频 | 日韩欧美精品在线 | 成人午夜激情小 | 97干视频| 成人午夜在线不卡 | 欧美日韩国产58香 | 成人午夜电影在线 | 国产专区网站 | 国产自产中文一区 | 成人v视频网 | 精品国产女主 | 日本在线不卡一区 | 精品高清三级乱伦 | 18秘喷水 | 欧洲精品亚洲一区 | 九九热国产视频精品 | 日韩精品三级 | 麻婆豆传 | 欧美日韩国产首页 | 国产欧美日本在线 | 成人污网| 1区2区 | 日韩午夜福利 | 国产精品国色 | 日韩高清乱码在 | 最新中文字幕在线观看 | 中文字幕欧美第一页 | 国产拳头交一 | 91免费| 午夜旡码视频 | 日本高清色频 | 精品国精品国产自 | 国产高清精品一区 | 国产精品极 | 成人影视免| 91网视频网| 日韩种子 | 国产乱子伦视频 | 三级特黄60 | 日比网站在线观 | 成人午夜天| 97国产婷婷综合视 | 国产在线成人精 | 欧美性xxxx禁忌 | 国产精品后 | 日本大片视频 | 日本亚洲精 | 午夜视频 | 日本中文一 | 九九褔利 | 精品欧美不卡一区 | 九九免费视频 | 午夜福利蜜桃青 | 精品美女福利视 | 日韩夜片 | 精品国产91久 | 欧美日韩在线成综合 | 精品国产乱码 | 日本不卡高清视国 | 日韩午夜有码 | 午夜看片在线观 | 国产乱轮精品一区 | 国产合集在线播放 | 日本人視頻網站一 | 国产精品亚洲片 | 欧美亚洲日韩国产 | 人人添逼人人摸人人 | 日韩精品不卡自拍 | 精品在线第一页 | 精品亚洲中文免费 | 日本一区二区高清 | 成人动漫一区二区三 | 热99这里| 欧美日韩午夜专区 | 日韩图片精品午夜 | 日本亲子乱在线播放 | 3d漫画网| 中文字幕va一区二 | 国产乱老熟视频网 | 看黄免费进入 | 日韩特级 | 国产精品伊人 | 国产夫妇肉麻对白 | 国产热re9| 国产不卡视频 | 成人一在线视频 | 日韩成人国产精品视 | 国产精品午夜视频 | 日韩国产在线 | 欧美另类日韩成人 | 91香蕉破解版| 天美传媒在线观看果 | 精品国产乱 | 日韩精品二三区 | 国产色婷 | 国产日韩精品高清 | 午夜三级a三级 | 午夜福利写真在线 | 国产色秀精品综合 | 国产在线拍精品热 | 精品伊人网 | 欧美日韩性视频 | 91蝌蚪91九色 | 国产又色又爽又黄的 | 人人影视网 | 国产高清日本综合 | 国产专区中文大陆 | 91蜜桃传媒精品 | 国产日韩欧美大片 | 国产男女猛烈无 | 国产福利在线永久 | 国产免费99热精品 | 区二区播放视频 | 成人乱码 | 国产又黄又爽视频 | 青青草极品视觉盛 | 国产精品女同一 | 欧美最猛| 国产主播福利 | 国产黄大片在线视频 | 国产精品秋霞 | 国产精精品免费观看 | 中文字幕视频二区 | 欧美日韩亚洲国产一 | 国产专区在线 | 欧美三极婬片网站 | 国产午夜在线观看 | 日韩系列在线 | 国产福利小视频在 | 三年片在线观看直播 | 91黑料精 | 日本高清一区二区 | 91国语福利影院 | 91视频入口| 日韩电影在线天堂 | 日本3级视频 | 日韩a∨在线观看 | 动漫一区二区 | 国产精品国产精品偷 | 国产视频一区在线 | 韩剧网首页| 国产精品16P | 国产精品专区六区 | 91精品成人影院 | 日本特黄特黄 | 日韩有码国产精品 | 日韩欧美美女视频网 | 人在线播放乱妇# | 精品国产男人的天 | 精品国产久九九 | 国产精品第 | 韩国三级一区 | 精品视频在线播放 | 欧美日韩综合一区二 | 日本中文字幕免费 | 91精品www| 欧洲自拍拍偷综合 | 99精品国产一区 | 韩国成人精品久 | 欧美一区韩国二区老 | 日本视频免 | 91污视频| 日本高清视频色惰 | 日本亚洲中文 | 日韩精品免费网站 | 日本在线观看 | 黑人在日 | 久爱青草视频 | 日韩欧美国产高清 | 精品国产乱码一区 | 日本看片一卡 | 91视频专区 | 国产在线精品不 | 国产在线观看精品 | 日韩综合网 | 国产成视频 | 国产国产东北 | 国产免费一 | 欧洲性爱在线观看 | 欧美在线国产精品 | 国产日韩欧美综合 | 久色悠悠精品 | 国产亚洲天堂 | 国产一区免费 | 区不卡αv | 区二区三区不卡 | 国产欧美在线 | 日韩综合成人夜猫 | 国产十八 | 91探花国产| 区三区免费看 | 日本综合色片 | 精品偷拍视频一区 | 日韩精品一区在线 | 国产玉足sm足 | 国内成人一区 | 日韩新片在线观看网 | 欧美三级免费观看 | 国产天天看免 | 国产精品亚洲а | 99精品热在线| 日本啊在线观看 | 欧美性播放中国 | 日本手机在线视频 | 三极国产精品 | 国产免费一级高清 | 国产末成年 | 91精品视频在线 | 国产乱码精品一 | 九色蝌蚪熟女偷拍 | 国产色女| 91精品免费观看 | www.污污污 | 尤物在线精品视频 | 午夜福利导航免费 | 成人拍拍拍 | 日本高清精品一区 | 国产一区自拍视频 | 国产丝袜视频在 | 中文字幕亚洲综合久 | 日韩激情偷拍第3页 | 欧美亚洲喷水视 | 欧美日韩自 | 精品国精品国产自 | 激情网站免费看 | 国产精品第60页 | 日本在线日本 | 国产精品日日夜夜 | 绿帽视频网站 | 国产精美 | 成人性动| 日本日韩欧美 | 蜜桃视频高清免费 | 国产欧美乱伦中文 | 国产精品大战 | 国产vr精品专区 | 日本免费一区二区 | 最新免费观看男女啪啪视频 | 精品色重口色 | 99ri精品 | 91社影院在线观看 | 欧美日韩激情播放 | 国产自产在线观 | 国产精品日产三 | 国产在线观看稀有 | 国产在线不 | 国产免费福利影院 | 日韩福利在线视频 | 福利一区福利二区 | 欧美日韩一 | 日韩伦理剧在线观看 | 国产免费网站 | 午夜视频网站 | 日本精品三级在线看 | 国产精品精品国 | 日b免费看| 国产青青手机在 | 午夜日韩刺激 | 国产精品亚洲精 | 中文字幕一区二区 | 区二区三区不卡 | 日本黄段在线免费看 | 日韩v国产v欧美v | 欧美日韩一卡二区 | 欧美日韩三区 | 日韩激情不卡一 | 国产又爽又 | 国产伦精品一区二 | 97在线免费视频 | 午夜不卡影院 | 日韩午夜视频 | 国产综合一 | 日本三级在线视频 | 日本在线免费一区 | 人综合在线观看 | 日本黄页精品大全 | 成人午夜在线国产 | 国产日韩欧美专区 | 福利导航成人 | 91逼福利 | 69精品人人槡 | 激情视频一区二区三 | 欧洲乱码 | 日韩午夜a级剧场 | 日韩亚洲欧美理论片 | 精品国产免费第一区 | 国产精品太长太粗太 | 国产乱伦m.m视频 | 精品亚洲a| 福利小视频在线 | 97影院 | 日韩色片在线观看 | 久精品国产厨房久 | 午夜视频一区二区 | 无码乱码av天堂一区二区 | 成人福利在线看 | 97成人伦理 | 日本伦理片在线看 | 国产欧美日韩 | 日韩一级A级 | 成人深夜| 青青草中国三 | 乱码国产精品 | 日本xxxx免费 | 国产在线91 | 伦理片mp4 | 91精品国产自 | 欧洲一卡2| 国产精品天天看 | 国产盗摄亚洲中国 | 国产精品亚洲а | 国产区成人精品视频 | 欧美日韩国产综 | 日韩男女午夜爆操 | 国产一区精品 | 精品亚洲一区 | 国产福利在线永久 | 国产狂喷潮在线 | 精品国产一二区 | 91免费在线视 | 日韩欧美在线中 | 青青草国 | 91精品国产亚洲爽 | 欧美午夜一区二区 | 精品免费 | 国产视频综 | 欧美专区日 | 日本在线一区 |