• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems With the Denial-of-Service Attacks and Stochastic Communication Protocol

    2022-06-25 01:18:38HangGengZidongWangYunChenXiaojianYiandYuhuaChengSinior
    IEEE/CAA Journal of Automatica Sinica 2022年6期

    Hang Geng,, Zidong Wang,, Yun Chen, Xiaojian Yi, and Yuhua Cheng, Sinior

    Abstract—In this paper, a new filtering fusion problem is studied for nonlinear cyber-physical systems under errorvariance constraints and denial-of-service attacks. To prevent data collision and reduce communication cost, the stochastic communication protocol is adopted in the sensor-to-filter channels to regulate the transmission order of sensors. Each sensor is allowed to enter the network according to the transmission priority decided by a set of independent and identicallydistributed random variables. From the defenders’ view, the occurrence of the denial-of-service attack is governed by the randomly Bernoulli-distributed sequence. At the local filtering stage, a set of variance-constrained local filters are designed where the upper bounds (on the filtering error covariances) are first acquired and later minimized by appropriately designing filter parameters. At the fusion stage, all local estimates and error covariances are combined to develop a variance-constrained fusion estimator under the federated fusion rule. Furthermore,the performance of the fusion estimator is examined by studying the boundedness of the fused error covariance. A simulation example is finally presented to demonstrate the effectiveness of the proposed fusion estimator.

    1. INTRODUCTION

    IN general, cyber-physical systems (CPSs) encompass a wide collection of physical and computer infrastructures/components that are connected and intertwined with each other in a cooperative way. Typical examples of CPSs include smart grids [1], [2], water plants [3], [4], robotics systems [5],[6], tracking systems [7]-[9], etc. The real-world implementation of CPSs often requires system components to operate on a shared communication network [10]-[13] which, unfortunately, results in a higher chance of malicious cyber-attacks towards control commands and system outputs. In order to safely and efficiently carry out the desired cyber-physical process, increasing research efforts have recently been made on the secure filtering/control problems for CPSs under deception attacks, replay attacks and denial-of-service (DoS)attacks [14]-[19].

    It should be pointed out that most CPS-related literature has been concerned with filtering/control problems for linear systems only despite the fact that practical CPSs often exhibit inherently nonlinear characteristics [20]-[24]. Clearly, the underlying nonlinearities with the CPSs would inevitably bring in substantial challenges to the development of the filtering/control algorithms [25]. Note that the cooperative control problem has recently been studied in [26] for nonlinear CPSs subject to multiple DoS attacks. Although the filtering problem for nonlinear CPSs has drawn some preliminary attention, the corresponding results have not and the filtering error covariance is of a major concern, and this constitutes one of our motivations to look into varianceconstrained filter design for a class of nonlinear CPSs.

    In response to rapid advancement in technologies involving data sensing, acquisition and analysis, the so-called multisensor filtering fusion problem has attracted unprecedented attention in a wide variety of fields ranging from signal processing to target tracking, see e.g., [27]-[32]. In the context of multi-sensor filtering fusion, it is often the case that the sensors send their respective measurements to remote filters simultaneously [33]-[36], and such simultaneous communication of big data would undoubtedly lead to excessive data transmission which, in turn, gives rise to serious data collision over communication networks with limited resources[37]. In order to control the data traffic and guarantee fusion performance, an important measure is to introduce certain scheduling rules/protocols to govern sensor communication in the hope of utilizing the limited network resources efficiently.

    Regarding the analysis/synthesis issues under communication protocols, a large quantity of research results have recently been attained, and some well-investigated communication protocols include the Round-Robin protocol, the tryonce-discard protocol and the stochastic communication protocol (SCP) [38]-[40]. Among others, the SCP has been deemed to be particularly efficient in assigning network resources because of its dynamic yet stochastic allocation mechanism [41]-[45]. Nevertheless, in relation to nonlinear CPS, the corresponding SCP-based analysis/synthesis results have been very scattered especially when multi-sensor fusion and error-variance constraints are also addressed. Such a lack of adequate results stems mainly from the mathematical challenges in coping with the couplings between the attacking behavior, nonlinear feature, scheduling protocol, variance constraints as well as fusion rule. As such, the motivation arising here is to tackle the variance-constrained filtering fusion problem for nonlinear CPSs under SCP scheduling and DoS attacks.

    In this paper, we endeavor to develop a new varianceconstrained fusion estimator for a general class of nonlinear CPSs that encompass the complexities brought from system nonlinearity, SCP scheduling and DoS attacks. To be more specific, a set of variance-constrained local filters is devised by first accommodating the addressed complexities via a dedicated introduced filter structure and then minimizing certain upper bounds on local filtering error covariances. By means of the matrix inequality and stochastic analysis technique, a variance-constrained fusion estimator is put forward through fully integrating the estimates from all local filters and rigorously studying the boundedness of the fused error covariance.

    The primary contributions made in this paper are highlighted as follows. 1) A new variance-constrained nonlinear fusion estimator is developed to facilitate the mitigation of the adverse influence induced by system nonlinearity, SCP scheduling and DoS attacks that are embedded in both system and measurement models. 2) A set of minimal upper bounds (on both local and fused error covariances) is found to exist by subtly parameterizing the estimators to cope with the tight couplings (between the system nonlinearity, attacking behavior, scheduling protocol as well as fusion rule). 3) The performance of the designed variance-constrained fusion scheme is thoroughly investigated through establishing the boundedness of the fused error covariance.

    The rest of this paper is structured as follows. In Section II,we formulate the considered variance-constrained filtering fusion problem under the SCP and DoS attacks. In Section III,a variance-constrained nonlinear fusion estimator is carefully designed with its parameters determined and performance thoroughly analyzed. In Section IV, a numerical example is given in order to showcase the usefulness of the proposed fusion framework, and a few conclusions are drawn in Section V.

    II. PROBLEM FORMULATION

    Consider the following nonlinear system:

    Pertaining to these challenges, our tasks in this paper are to:1) devise the variance-constrained nonlinear fusion estimator(6) by appropriately determining parametersKm,sandWm,s; 2)assess fusion estimation performance through studying the boundedness property of obtained covariance bounds; and 3)study the effects from the system nonlinearities, SCP scheduling and DoS attacks with parameter determination and a boundedness investigation.

    III. MAIN RESULTS

    Algorithm 1 Variance-Constrained Filtering Fusion ?x0 Pmin~x0 ym,1:s Input: ,, ,?xs Pmin Output: , .?xm,0= ?x0 Pmin~xs m P~x0 Qm,0=?-1m Q0 1: let , , .~xm,0 =?-1 2: for do s=1:N ?x-m,s 3: calculate local prediction by (6);4: calculate filter gain by (25);Pmin~xm,s Km,s 5: calculate minimal bound by (21)-(29);?xm,s 6: calculate the local estimate by (6);Pmin~xs 7: calculate fused bound by (44);Wm,s 8: calculate weight matrix by (41);?xs 9: calculate fused estimate by (6);?xm,s Pmin 10: reallocate , and by (53);11: end for~ξm,s Qm,s

    Remark 5:In comparison to the available filtering literature on CPSs, our primary results own the following distinctive merits: 1) the addressed problem is new as multiple engineering-oriented phenomena (e.g., the system nonlinearity,cyber-attack and communication protocol) are comprehensively considered; 2) the devised fusion paradigm is new as the variance-constrained estimator is purposely built by means of intensive stochastic analysis; and 3) the performance evaluation is new where boundedness of minimal upper bounds with respect to both fused and local error covariances is rigorously guaranteed.

    Remark 6:It can be seen from the design and analysis of the proposed variance-constrained filtering fusion algorithm that,the implementation of such an algorithm involves the calculation of a few matrix equations. Consequently, the computational complexity of the proposed algorithm is highly dependent on both the dimensions of equations and number of decision variables. Generally speaking, there are two effective methods that can be used to reduce the computational complexity of filtering algorithm involving mass matrix operations, i.e., the model reduction method and the suboptimal method. To be specific, the mode reduction refers to the exploration of a possible lower-dimensional model that can be used to replace the original model without adding significant errors in practical applications, while the suboptimal method means that the development of certain suboptimal filtering algorithms might have worse performance but lower computation cost in contrast to the original algorithm. Obviously, in both methods, a proper trade-off between the filtering performance and the computation complexity should be found in order to accomplish the filtering task in an efficient and accurate way.

    IV. ILLUSTRATIVE EXAMPLE

    Fig. 1. DoS attacks on two sensors with success rates β ˉ1=0.2 and β ˉ2=0.3.The blue/green dots on or above the horizontal axis indicate unsuccessful or successful DoS attacks on sensor 1/2 measurements. For instance, at time k, if a blue dot is located on or above the horizontal axis, it indicates that the measurement of sensor 1 is free from or under DoS attacks.

    Fig. 2. MSE1 comparison.

    Fig. 3. MSE2 comparison.

    Fig. 4. Comparison between lg( tr{Pmx~sin}) and its bounds.

    TABLE I AMSE COMPARISON UNDER DIFFERENT SUCCESS RATES [βˉ1,βˉ2]

    TABLE II AMSE COMPARISON UNDER DIFFERENT OCCURRENCE PROBABILITIES [αˉ1,αˉ2]

    nts, sensor 2 measurements and all measurements, respectively. It is observed from Figs. 2 and 3 that, the tracking performance based on all information outperforms that based on either sensor information. This is because 1) all available data is properly fused to achieve the tracking target in the fusion algorithm; and 2) only partial sensor information is used to carry out the tracking task in both local filtering algorithms.associatedAMSEsof both local and fusion estimator are clearly outlined in Table II after 1000 Monte Carlo trials.Looking at Table II, we draw conclusions: 1) the performance of the fusion estimator always outperforms that of local estimators under all occurrence probabilities [αˉ1,αˉ2]; and 2)the local estimator corresponding to the sensor with a larger(smaller) occurrence probability (of the scheduling behavior)has higher (lower) tracking accuracy.

    V. CONCLUSION

    In this paper, we have addressed the variance-constrained filtering fusion problem for a nonlinear CPS under the DoS attacks and the SCP. A set of local nonlinear filters have been adopted under variance constraints, and restrict upper bounds on both local and fused error covariances that have been guaranteed, where filter gains and weight matrices have been parameterized by minimizing such upper bounds. By resorting to the federated fusion criterion, all local estimates have been incorporated to obtain a fusion estimate. Further evaluation has been given by analyzing boundedness of gained upper bounds. Finally, the applicability of the proposed nonlinear fusion estimator has been validated by a simulation experiment. Some future research directions include 1) solving the variance-constrained filtering fusion problem for nonlinear cyber-physical systems under other communication protocols,e.g., the Round-Robin protocol and the try-once-discard protocol; and 2) solving the variance-constrained filtering fusion problem for nonlinear cyber-physical systems with other communication protocols, e.g., the Round-Robin protocol and the try-once-discard protocol.

    日日摸夜夜添夜夜添av毛片| 男女那种视频在线观看| 日本 av在线| 日韩欧美精品v在线| 身体一侧抽搐| 国产亚洲精品av在线| 联通29元200g的流量卡| 女人被狂操c到高潮| 国产精品免费一区二区三区在线| 国产午夜福利久久久久久| 麻豆精品久久久久久蜜桃| 99国产精品一区二区蜜桃av| 一进一出好大好爽视频| 国产极品精品免费视频能看的| 99国产精品一区二区蜜桃av| 国产高清不卡午夜福利| 赤兔流量卡办理| 欧美色欧美亚洲另类二区| 男插女下体视频免费在线播放| 欧美性猛交黑人性爽| 国产精品,欧美在线| av在线观看视频网站免费| 麻豆久久精品国产亚洲av| 99久久九九国产精品国产免费| 人妻丰满熟妇av一区二区三区| 欧洲精品卡2卡3卡4卡5卡区| 一本一本综合久久| 亚洲欧美日韩卡通动漫| 有码 亚洲区| 婷婷色综合大香蕉| 此物有八面人人有两片| 国产午夜福利久久久久久| 国产黄片美女视频| 亚洲无线观看免费| 日韩一区二区视频免费看| 美女被艹到高潮喷水动态| 最近最新中文字幕大全电影3| 国产精品伦人一区二区| 桃色一区二区三区在线观看| 亚洲欧美日韩高清专用| 美女cb高潮喷水在线观看| 亚洲精品影视一区二区三区av| а√天堂www在线а√下载| 久久久久久大精品| 国产精品,欧美在线| 久久久久久伊人网av| 少妇丰满av| 人人妻,人人澡人人爽秒播| 悠悠久久av| 蜜臀久久99精品久久宅男| 插逼视频在线观看| 日韩高清综合在线| 99在线视频只有这里精品首页| 国产精品美女特级片免费视频播放器| 色视频www国产| 别揉我奶头~嗯~啊~动态视频| 精华霜和精华液先用哪个| 亚洲av五月六月丁香网| 久久久久国产网址| 国产毛片a区久久久久| 全区人妻精品视频| 国语自产精品视频在线第100页| 日韩,欧美,国产一区二区三区 | .国产精品久久| 欧美激情久久久久久爽电影| 赤兔流量卡办理| 久久久久久久久久成人| 精品久久久久久久人妻蜜臀av| 国产综合懂色| 精品国内亚洲2022精品成人| 真人做人爱边吃奶动态| 中文字幕av在线有码专区| 亚洲国产日韩欧美精品在线观看| 人妻制服诱惑在线中文字幕| 欧美日韩综合久久久久久| 色哟哟哟哟哟哟| 又粗又爽又猛毛片免费看| 中文字幕av成人在线电影| 成人av一区二区三区在线看| 午夜福利在线观看免费完整高清在 | 男女啪啪激烈高潮av片| 日日啪夜夜撸| 精品人妻视频免费看| 午夜a级毛片| 久久精品国产清高在天天线| 亚洲内射少妇av| 欧美精品国产亚洲| 国产一区二区亚洲精品在线观看| 日本爱情动作片www.在线观看 | 欧美另类亚洲清纯唯美| 99在线视频只有这里精品首页| 一个人免费在线观看电影| 久久精品久久久久久噜噜老黄 | 欧美潮喷喷水| 国产大屁股一区二区在线视频| 精品午夜福利视频在线观看一区| 国产亚洲欧美98| 人妻少妇偷人精品九色| 99riav亚洲国产免费| 国国产精品蜜臀av免费| 十八禁网站免费在线| 欧美日韩在线观看h| h日本视频在线播放| 美女免费视频网站| 欧美日本视频| 99久久成人亚洲精品观看| 亚洲欧美精品综合久久99| 国产亚洲精品久久久com| 一本久久中文字幕| 成人午夜高清在线视频| 久久这里只有精品中国| 一区福利在线观看| 免费看a级黄色片| 不卡一级毛片| 国产极品精品免费视频能看的| 免费av不卡在线播放| 欧美日本视频| 欧美+日韩+精品| 欧美一级a爱片免费观看看| 人妻久久中文字幕网| 成人av在线播放网站| 日韩高清综合在线| videossex国产| 99在线视频只有这里精品首页| 一区二区三区免费毛片| 中文字幕熟女人妻在线| 精品免费久久久久久久清纯| 黄色视频,在线免费观看| 国产精品av视频在线免费观看| 91av网一区二区| 久久热精品热| 精品一区二区三区视频在线观看免费| 国产精品1区2区在线观看.| 日韩在线高清观看一区二区三区| 国产欧美日韩精品一区二区| 久久久久久久久久久丰满| 国产亚洲欧美98| 欧美色视频一区免费| 亚洲精品久久国产高清桃花| 综合色丁香网| 国产精品日韩av在线免费观看| 久久久成人免费电影| 色综合亚洲欧美另类图片| 国产 一区精品| 波野结衣二区三区在线| 黄色日韩在线| 免费观看在线日韩| 国产三级中文精品| 亚洲精品日韩在线中文字幕 | 99久久成人亚洲精品观看| 在线看三级毛片| 日韩欧美精品免费久久| 欧美色视频一区免费| 免费看av在线观看网站| 99热这里只有是精品在线观看| 18禁裸乳无遮挡免费网站照片| 免费高清视频大片| 日本精品一区二区三区蜜桃| 亚洲18禁久久av| 亚洲18禁久久av| 日韩欧美一区二区三区在线观看| 一级a爱片免费观看的视频| 精品久久久久久久久亚洲| 成人av一区二区三区在线看| 国产毛片a区久久久久| 亚洲av二区三区四区| 亚洲av中文字字幕乱码综合| 国产 一区 欧美 日韩| 99热这里只有是精品50| 国产精品野战在线观看| 日韩大尺度精品在线看网址| 亚洲不卡免费看| 51国产日韩欧美| 一边摸一边抽搐一进一小说| 色哟哟·www| 免费高清视频大片| 免费不卡的大黄色大毛片视频在线观看 | 免费人成视频x8x8入口观看| 国产欧美日韩精品亚洲av| 99久久精品热视频| 成人国产麻豆网| 国产伦精品一区二区三区视频9| 午夜福利18| 村上凉子中文字幕在线| 日本 av在线| 草草在线视频免费看| 搡老岳熟女国产| 97人妻精品一区二区三区麻豆| 欧美日本亚洲视频在线播放| av天堂在线播放| 欧美bdsm另类| 日本色播在线视频| 2021天堂中文幕一二区在线观| av天堂在线播放| 在线观看66精品国产| 亚洲欧美成人精品一区二区| 亚洲无线观看免费| 久久久久国产精品人妻aⅴ院| 欧美不卡视频在线免费观看| 久久久久国产网址| 少妇熟女aⅴ在线视频| 成年版毛片免费区| 国产伦在线观看视频一区| 亚洲最大成人中文| 一级黄色大片毛片| 国产老妇女一区| 三级国产精品欧美在线观看| 日产精品乱码卡一卡2卡三| 久久精品夜夜夜夜夜久久蜜豆| 亚洲av.av天堂| 亚洲熟妇中文字幕五十中出| 成人漫画全彩无遮挡| 最近视频中文字幕2019在线8| 激情 狠狠 欧美| 日日干狠狠操夜夜爽| 国产精品女同一区二区软件| 舔av片在线| 两个人视频免费观看高清| а√天堂www在线а√下载| 色播亚洲综合网| 亚洲最大成人手机在线| 日本一二三区视频观看| 久久午夜亚洲精品久久| 久久久久九九精品影院| 性色avwww在线观看| 熟女人妻精品中文字幕| 亚洲美女搞黄在线观看 | 国产熟女欧美一区二区| av天堂中文字幕网| 国产三级在线视频| 国产精品av视频在线免费观看| 丰满的人妻完整版| 变态另类丝袜制服| 69人妻影院| 亚洲七黄色美女视频| 男插女下体视频免费在线播放| 非洲黑人性xxxx精品又粗又长| 久久精品夜色国产| 校园春色视频在线观看| 久久久精品大字幕| 99久久精品一区二区三区| 变态另类成人亚洲欧美熟女| 三级男女做爰猛烈吃奶摸视频| 国内少妇人妻偷人精品xxx网站| 久久精品国产自在天天线| 99久久中文字幕三级久久日本| 91久久精品国产一区二区三区| 1024手机看黄色片| 别揉我奶头~嗯~啊~动态视频| 秋霞在线观看毛片| 国产在视频线在精品| 老师上课跳d突然被开到最大视频| 如何舔出高潮| 十八禁国产超污无遮挡网站| 精品一区二区三区av网在线观看| 欧美潮喷喷水| av天堂中文字幕网| 寂寞人妻少妇视频99o| 波多野结衣高清无吗| 国产高清激情床上av| 精品久久国产蜜桃| 国产成人影院久久av| 久久精品夜色国产| 成人亚洲精品av一区二区| 少妇的逼水好多| 三级国产精品欧美在线观看| 亚洲av中文av极速乱| 日韩欧美精品v在线| 国产精品,欧美在线| 卡戴珊不雅视频在线播放| 国产片特级美女逼逼视频| 免费黄网站久久成人精品| 伦精品一区二区三区| 国产成人精品久久久久久| 精品一区二区免费观看| 国产一区二区在线av高清观看| a级毛片免费高清观看在线播放| 一级毛片我不卡| 一级av片app| 真人做人爱边吃奶动态| 国内精品一区二区在线观看| 三级国产精品欧美在线观看| 久久婷婷人人爽人人干人人爱| 91久久精品国产一区二区三区| 一边摸一边抽搐一进一小说| 久久久久性生活片| 一本精品99久久精品77| 一个人看视频在线观看www免费| 在线观看免费视频日本深夜| 国产爱豆传媒在线观看| 国产高清激情床上av| 日韩三级伦理在线观看| 狠狠狠狠99中文字幕| 国产精品美女特级片免费视频播放器| 国产单亲对白刺激| 日日摸夜夜添夜夜添小说| 特级一级黄色大片| 欧美三级亚洲精品| 国产高清激情床上av| 一个人免费在线观看电影| 乱系列少妇在线播放| 男人狂女人下面高潮的视频| 成人综合一区亚洲| 高清午夜精品一区二区三区 | 免费看光身美女| 99久久九九国产精品国产免费| 搡老岳熟女国产| 成年女人永久免费观看视频| 69av精品久久久久久| 国产人妻一区二区三区在| 免费黄网站久久成人精品| 91在线观看av| 成人av一区二区三区在线看| avwww免费| 女生性感内裤真人,穿戴方法视频| 俺也久久电影网| 国产中年淑女户外野战色| 国产aⅴ精品一区二区三区波| 在线播放无遮挡| 日本黄大片高清| 香蕉av资源在线| 亚洲七黄色美女视频| 一级黄片播放器| 老司机福利观看| 国产精品野战在线观看| 波野结衣二区三区在线| 在线观看av片永久免费下载| 亚洲精品在线观看二区| 91麻豆精品激情在线观看国产| 激情 狠狠 欧美| 亚洲成a人片在线一区二区| 91精品国产九色| 国产精品电影一区二区三区| 亚洲欧美精品自产自拍| 无遮挡黄片免费观看| 久久久久久久久久黄片| 两个人视频免费观看高清| 欧美zozozo另类| 能在线免费观看的黄片| 国产91av在线免费观看| 成人美女网站在线观看视频| 天堂av国产一区二区熟女人妻| 亚洲av二区三区四区| 波多野结衣高清无吗| 少妇丰满av| 久久久久久久午夜电影| 俄罗斯特黄特色一大片| 精品人妻熟女av久视频| 久久精品国产亚洲av天美| 日韩精品中文字幕看吧| 成人毛片a级毛片在线播放| 日韩中字成人| 精品久久国产蜜桃| 亚洲国产精品成人久久小说 | 高清午夜精品一区二区三区 | 国产午夜精品论理片| 大型黄色视频在线免费观看| 国产精品一及| av视频在线观看入口| 国产黄色视频一区二区在线观看 | 真人做人爱边吃奶动态| 日本成人三级电影网站| 热99在线观看视频| 国产精品日韩av在线免费观看| 国产精品一区www在线观看| 三级毛片av免费| 日韩一区二区视频免费看| 亚洲经典国产精华液单| 亚洲精品在线观看二区| 在线免费观看的www视频| 卡戴珊不雅视频在线播放| 最近手机中文字幕大全| 极品教师在线视频| 精品久久久噜噜| 黄色一级大片看看| 亚洲av.av天堂| 一本久久中文字幕| 亚洲激情五月婷婷啪啪| 成人二区视频| 人妻丰满熟妇av一区二区三区| 日韩欧美精品v在线| 一个人观看的视频www高清免费观看| 免费看日本二区| 黄色配什么色好看| 一a级毛片在线观看| 中国美女看黄片| 内射极品少妇av片p| 精品一区二区免费观看| 三级国产精品欧美在线观看| 久久国产乱子免费精品| 日韩成人av中文字幕在线观看 | 亚洲成人久久爱视频| 少妇熟女欧美另类| 成熟少妇高潮喷水视频| 看黄色毛片网站| 三级国产精品欧美在线观看| 丰满的人妻完整版| 欧美激情在线99| aaaaa片日本免费| 午夜免费男女啪啪视频观看 | 欧美一区二区国产精品久久精品| 在现免费观看毛片| 乱码一卡2卡4卡精品| 欧美+日韩+精品| 国产午夜精品久久久久久一区二区三区 | 18+在线观看网站| 国产免费一级a男人的天堂| 99久久中文字幕三级久久日本| 老司机影院成人| 精品国内亚洲2022精品成人| 99久久久亚洲精品蜜臀av| 久久99热这里只有精品18| 久久久久国内视频| 大又大粗又爽又黄少妇毛片口| ponron亚洲| 舔av片在线| 国产精品一二三区在线看| 亚洲在线观看片| 身体一侧抽搐| 久久久久久久午夜电影| 在线免费观看不下载黄p国产| 国产精品野战在线观看| 国产精品久久久久久亚洲av鲁大| 综合色av麻豆| 少妇人妻精品综合一区二区 | 国产精品av视频在线免费观看| 淫秽高清视频在线观看| 午夜福利在线观看吧| 亚洲欧美中文字幕日韩二区| 国产亚洲精品久久久com| 国产v大片淫在线免费观看| 尤物成人国产欧美一区二区三区| 伦理电影大哥的女人| 成人特级黄色片久久久久久久| 精品久久久久久久久av| 午夜福利视频1000在线观看| 51国产日韩欧美| 亚洲国产精品成人综合色| 免费人成视频x8x8入口观看| 99久国产av精品| 国产黄片美女视频| 国产私拍福利视频在线观看| 久久久久国内视频| 又黄又爽又刺激的免费视频.| 亚洲精品一卡2卡三卡4卡5卡| 亚洲乱码一区二区免费版| 九九热线精品视视频播放| 亚洲欧美日韩高清专用| 啦啦啦韩国在线观看视频| 国产精品久久久久久久电影| 久久精品国产清高在天天线| 日本免费a在线| 99热这里只有是精品在线观看| 亚洲av不卡在线观看| 亚洲第一电影网av| 乱码一卡2卡4卡精品| 日本成人三级电影网站| 悠悠久久av| 日韩欧美一区二区三区在线观看| 99国产精品一区二区蜜桃av| 欧美成人精品欧美一级黄| 91精品国产九色| av在线亚洲专区| 三级经典国产精品| 22中文网久久字幕| 久久久精品94久久精品| 日韩成人av中文字幕在线观看 | 嫩草影院入口| 色av中文字幕| 久久久久国产精品人妻aⅴ院| av国产免费在线观看| 精品免费久久久久久久清纯| 亚洲av电影不卡..在线观看| 精品福利观看| 国产真实伦视频高清在线观看| 亚洲av熟女| 高清毛片免费看| 精品不卡国产一区二区三区| 国产精品人妻久久久影院| 国产成人aa在线观看| 91在线观看av| 亚洲精品在线观看二区| 丝袜美腿在线中文| 欧美xxxx性猛交bbbb| 欧美一级a爱片免费观看看| 高清午夜精品一区二区三区 | 欧美高清性xxxxhd video| 尾随美女入室| 欧美最新免费一区二区三区| 亚洲av.av天堂| 免费在线观看成人毛片| 国语自产精品视频在线第100页| 国产一区二区激情短视频| 国产亚洲欧美98| 欧美日韩一区二区视频在线观看视频在线 | 成熟少妇高潮喷水视频| 日本-黄色视频高清免费观看| 露出奶头的视频| 午夜精品国产一区二区电影 | 联通29元200g的流量卡| 国产精品无大码| 亚洲va在线va天堂va国产| 小蜜桃在线观看免费完整版高清| 免费看a级黄色片| 六月丁香七月| 中文字幕久久专区| 亚洲av中文av极速乱| 六月丁香七月| 又黄又爽又刺激的免费视频.| 国产精品久久久久久亚洲av鲁大| 美女xxoo啪啪120秒动态图| av黄色大香蕉| 久久久午夜欧美精品| 亚洲av成人av| 夜夜夜夜夜久久久久| 三级男女做爰猛烈吃奶摸视频| 久久久久久大精品| 精品日产1卡2卡| 成年女人看的毛片在线观看| or卡值多少钱| 久久久久久久久久久丰满| 亚洲美女黄片视频| 最后的刺客免费高清国语| a级一级毛片免费在线观看| 99热只有精品国产| 欧美高清性xxxxhd video| 久久国产乱子免费精品| 狂野欧美白嫩少妇大欣赏| 欧美日韩一区二区视频在线观看视频在线 | 日本免费一区二区三区高清不卡| 亚洲av第一区精品v没综合| 免费看av在线观看网站| 在线观看66精品国产| 国产成人福利小说| 99久久精品国产国产毛片| 中国美白少妇内射xxxbb| 国产伦精品一区二区三区视频9| av女优亚洲男人天堂| 国产探花极品一区二区| 久久99热这里只有精品18| 国模一区二区三区四区视频| 日日摸夜夜添夜夜添小说| 国内揄拍国产精品人妻在线| 亚洲va在线va天堂va国产| 中文字幕久久专区| 一a级毛片在线观看| 精品欧美国产一区二区三| 日韩精品中文字幕看吧| 日韩欧美三级三区| 啦啦啦啦在线视频资源| 欧美日韩一区二区视频在线观看视频在线 | 99久久久亚洲精品蜜臀av| 免费高清视频大片| 欧美色欧美亚洲另类二区| 国语自产精品视频在线第100页| 国产精品三级大全| 中文字幕免费在线视频6| 国产高潮美女av| 天天躁日日操中文字幕| 又爽又黄a免费视频| av中文乱码字幕在线| 女人十人毛片免费观看3o分钟| 成人一区二区视频在线观看| avwww免费| 给我免费播放毛片高清在线观看| 一个人看视频在线观看www免费| 免费不卡的大黄色大毛片视频在线观看 | 免费大片18禁| 国产激情偷乱视频一区二区| 在线观看av片永久免费下载| videossex国产| 国产免费男女视频| 婷婷六月久久综合丁香| 国产中年淑女户外野战色| .国产精品久久| 国产 一区精品| 毛片女人毛片| 欧美绝顶高潮抽搐喷水| 黄色视频,在线免费观看| 亚洲中文日韩欧美视频| 日韩欧美一区二区三区在线观看| 欧美极品一区二区三区四区| 亚洲精品日韩在线中文字幕 | 国产一区二区在线观看日韩| 国产精品嫩草影院av在线观看| 欧美日韩一区二区视频在线观看视频在线 | 国内精品久久久久精免费| 日本 av在线| 极品教师在线视频| 熟女电影av网| 精品久久国产蜜桃| 久久久国产成人精品二区| 亚洲成人av在线免费| 精品午夜福利在线看| 国产欧美日韩一区二区精品| 精品少妇黑人巨大在线播放 | 男人和女人高潮做爰伦理| 国内精品一区二区在线观看| 亚洲国产精品成人综合色| 少妇高潮的动态图| 夜夜爽天天搞| 国产精品1区2区在线观看.| 亚洲高清免费不卡视频| 欧美区成人在线视频| 男人的好看免费观看在线视频| 欧美激情国产日韩精品一区| 国产欧美日韩精品亚洲av| 精品久久久噜噜| 亚洲精品日韩av片在线观看| 国模一区二区三区四区视频| 免费无遮挡裸体视频| 黄色视频,在线免费观看| 欧美潮喷喷水| 波多野结衣高清作品| 国产aⅴ精品一区二区三区波|