{"title":"Couple-Group Consensus for Cooperative-Competitive Heterogeneous Multiagent Systems: Hybrid Adaptive and Pinning Methods","authors":"Lianghao Ji, Ting Gao, X. Liao","doi":"10.1109/TSMC.2019.2951787","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2951787","url":null,"abstract":"In this article, the problem of couple-group consensus for the heterogeneous multiagent systems (MASs) composed of first-order and second-order agents are investigated by hybrid pinning and adaptive control methods, respectively. A novel distributed control protocol of group consensus is proposed via the cooperative-competitive relationship between the agents. Based on algebraic graph theory, matrix analysis and Lyapunov stability theorem, the sufficient conditions and corresponding pinning strategies for the heterogeneous MASs with the weakly connected topology are obtained. In addition, we find that the value of pinning gain should meet a certain condition for guaranteeing the achievement of group consensus. Finally, the validity of our results is verified by some simulated examples.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"63 1","pages":"5367-5376"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73578088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ling Xiong, N. Xiong, Changyuan Wang, Xinqiao Yu, Mengxia Shuai
{"title":"An Efficient Lightweight Authentication Scheme With Adaptive Resilience of Asynchronization Attacks for Wireless Sensor Networks","authors":"Ling Xiong, N. Xiong, Changyuan Wang, Xinqiao Yu, Mengxia Shuai","doi":"10.1109/TSMC.2019.2957175","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957175","url":null,"abstract":"Until now, the pseudonym ID and one-time hash chain as the key technologies solve anonymous and forward secrecy properties, respectively, in lightweight authentication protocols for wireless sensor networks (WSNs) environment. However, both techniques have to face the limitation of asynchronization attack, which will cause the pseudonym ID and one-time hash chain value between participants to be loss of synchronization when the transmitted message is blocked. Most recently, a serial of lightweight anonymous authentication scheme with forward secrecy (LAASFS) have been built to resolve this problem. Unfortunately, they failed to handle this question satisfactorily. Besides, most of them are still vulnerable to smart card loss attack (SCLA). In this article, to address these issues and make more effective, we combine pseudonym ID, one-time hash chain and tag techniques to construct an LAASFS for WSNs environment. The proposed LAASFS can be adaptive resilience of asynchronization attacks. In addition, it is also able to resist a variety of known attacks like SCLA and wrong password login attack. Formal analyses are taken by BAN logic and ProVerif tool to demonstrate the security of properties of our LAASFS. Compared with several previous related schemes, the proposed LAASFS possesses obvious advantages in computation and communication costs.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"9 1","pages":"5626-5638"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75973815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exponentially Stabilizing Observer-Based Feedback Control of a Sampled-Data Linear Parabolic Multiple-Input–Multiple-Output PDE","authors":"Jun‐Wei Wang","doi":"10.1109/TSMC.2019.2957389","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957389","url":null,"abstract":"This article addresses dynamic exponential stabilization problem of a linear scalar parabolic partial differential equation (PDE) with multiple spatially piecewise control inputs and multiple sampled-data measurement outputs in time represented as state averages over spatially noncollocated local piecewise subdomains. A sampled-data-observer-based feedback controller is constructed to guarantee the exponential convergence of the resulting closed-loop PDE. By Lyapunov’s direct method with Poincaré–Wirtinger inequality’s variants, a sufficient condition of the form linear matrix inequalities is derived for such observer-based feedback controller’s existence. This sufficient condition is extended for the case of spatially pointwise control. With the aid of semigroup theory, the closed-loop well-posedness analysis is carried out. The simulation results for a numerical example are provided to demonstrate the effectiveness of the proposed design method and its extension.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"124 1","pages":"5742-5751"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83982511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
X. Xia, Tianping Zhang, Yung-Chung Fang, Guanpeng Kang
{"title":"Adaptive Quantized Control of Output Feedback Nonlinear Systems With Input Unmodeled Dynamics Based on Backstepping and Small-Gain Method","authors":"X. Xia, Tianping Zhang, Yung-Chung Fang, Guanpeng Kang","doi":"10.1109/TSMC.2019.2956997","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956997","url":null,"abstract":"In this article, an adaptive quantized neural backstepping strategy is investigated for a class of nonlinear systems with input unmodeled dynamics and output constraints based on the small-gain method. A challenge lies in the considered input-quantized actuator possessing both unknown control gain and input unmodeled dynamics, and the application of the small-gain theorem when the system possesses input unmodeled dynamics and the output constraints. By the coordinate transformation of the state variables, the input unmodeled dynamics subsystem is transformed into a suitable form for applying the small-gain theorem. By a logarithmic one to one mapping, the time-varying output constraints are tackled. With these methods, the stability proof based on the small-gain theorem is completed. It is shown that all the signals are bounded, and the output signal is constrained within the preset range.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"18 1","pages":"5686-5697"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72815601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust Exact Predictive Scheme for Output-Feedback Control of Input-Delay Systems With Unmatched Sinusoidal Disturbances","authors":"Shang Shi, Shengyuan Xu, J. Gu, Zhengqiang Zhang","doi":"10.1109/TSMC.2019.2951727","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2951727","url":null,"abstract":"Predictor-based control has been widely used to compensate input delays. However, the conventional predictors such as Smith predictor, usually have poor robustness with respect to system disturbances. In this article, a novel robust predictive scheme, that can achieve exact state prediction in finite-time, is proposed for linear time-invariant (LTI) systems subject to input delay and unmatched sinusoidal disturbances. By combining the super-twisting technique with the proposed predictive scheme, we also propose a new predictor-based output-feedback super-twisting controller which can compensate arbitrary long input delay and eliminate the effect of unmatched disturbances from the corresponding state completely. The simulation comparison shows the effectiveness of the theoretical results.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"26 1","pages":"5357-5366"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86080222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Approach to Image-Sequence-Based Mobile Robot Place Recognition","authors":"Jing Yuan, Wenbin Zhu, Xingliang Dong, Fengchi Sun, Xuebo Zhang, Qinxuan Sun, Yalou Huang","doi":"10.1109/TSMC.2019.2956321","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956321","url":null,"abstract":"Visual place recognition is a challenging problem in simultaneous localization and mapping (SLAM) due to a large variability of the scene appearance. A place is usually described by a single-frame image in conventional place recognition algorithms. However, it is unlikely to completely describe the place appearance using a single frame image. Moreover, it is more sensitive to the change of environments. In this article, a novel image-sequence-based framework for place detection and recognition is proposed. Rather than a single frame image, a place is represented by an image sequence in this article. Position invariant robust feature (PIRF) descriptors are extracted from images and processed by the incremental bag-of-words (BoWs) for feature extraction. The robot automatically partitions the sequentially acquired images into different image sequences according to the change of the environmental appearance. Then, the echo state network (ESN) is applied to model each image sequence. The resultant states of the ESN are used as features of the corresponding image sequence for place recognition. The proposed method is evaluated on two public datasets. Experimental comparisons with the FAB-MAP 2.0 and SeqSLAM are conducted. Finally, a real-world experiment on place recognition with a mobile robot is performed to further verify the proposed method.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"29 1","pages":"5377-5391"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88321323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhiwei Cao, Yichao Zhang, J. Guan, Shuigeng Zhou, G. Wen
{"title":"A Chaotic Ant Colony Optimized Link Prediction Algorithm","authors":"Zhiwei Cao, Yichao Zhang, J. Guan, Shuigeng Zhou, G. Wen","doi":"10.1109/TSMC.2019.2947516","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2947516","url":null,"abstract":"The mining missing links and predicting upcoming links are two important topics in the link prediction. In the past decades, a variety of algorithms have been developed, the majority of which apply similarity measures to estimate the bonding probability between nodes. And for these algorithms, it is still difficult to achieve a satisfactory tradeoff among precision, computational complexity, robustness to network types, and scalability to network size. In this article, we propose a chaotic ant colony optimized (CACO) link prediction algorithm, which integrates the chaotic perturbation model and ant colony optimization. The extensive experiments on a wide variety of unweighted and weighted networks show that the proposed algorithm CACO achieves significantly higher prediction accuracy and robustness than most of the state-of-the-art algorithms. The results demonstrate that the chaotic ant colony effectively takes advantage of the fact that most real networks possess the transmission capacity and provides a new perspective for future link prediction research.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"17 1","pages":"5274-5288"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87211909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Continuous-Time Algorithm for Approximate Distributed Optimization With Affine Equality and Convex Inequality Constraints","authors":"Xinrui Jiang, Sitian Qin, X. Xue","doi":"10.1109/TSMC.2019.2957156","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957156","url":null,"abstract":"A distributed optimization problem (DOP) with affine equality and convex inequality constraints is studied in this article. First, the consensus constraint of the considered DOP is relaxed and a related approximate DOP (ADOP) is presented. It is proved that the optimal solutions of the ADOP (i.e., the near-optimal solutions of the original DOP) are able to approach the optimal solutions of the original DOP. A continuous-time algorithm is proposed for the ADOP and it is demonstrated that the state solution of the presented algorithm converges to the critical point set of the ADOP with general locally Lipschitz continuous objective functions. This means the presented algorithm is efficient for distributed nonconvex optimization problems. Particularly, when the objective functions are convex ones, the state solution of the presented algorithm is further proved to converge to a near-optimal solution of the original DOP. One illustrative example and an application on load sharing problems are shown to validate the effectiveness of the proposed algorithm.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"234 1","pages":"5809-5818"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73505857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Fusion Estimation for Multisensor Multirate Systems With Packet Dropout Compensations and Correlated Noises","authors":"Tian Tian, Shuli Sun","doi":"10.1109/TSMC.2019.2956259","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956259","url":null,"abstract":"This article investigates distributed fusion estimation problems for multisensor multirate (MSMR) stochastic systems with correlated noises (CNs) and packet dropouts (PDs). The state updates at the fast rate while sensors uniformly sample at positive integer multiples of the state updating period. Different sensors may have different sampling rates. The system noise and measurement noises are auto- and cross-correlated at the same instant. The phenomenon of PDs randomly occurs during data transmission from a sensor to a data processor through unreliable networks. A recent developed compensation strategy that a predictor of a lost packet is employed as a compensator is adopted to optimize the tracking process. First, an optimal linear local filter (LF) for each sensor at measurement sampling points (MSPs) is presented by using an innovation analysis approach. Then, a local estimator (LE) at state updating points (SUPs) is proposed by filtering or prediction based on the LF at MSPs. Furthermore, estimation error cross-covariance matrices (CCMs) between arbitrary two LEs at SUPs are deduced, which can recursively be calculated by three joint difference equations. Finally, a distributed fusion filter (DFF) weighted by matrices in the sense of linear unbiased minimum variance (LUMV) is addressed. Period steady-state (PSS) property of the LEs, CCMs, and DFF is proved. A simulation example verifies the effectiveness of algorithms.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"1 1","pages":"5762-5772"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73658659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault-Tolerant Fuzzy Formation Control for a Class of Nonlinear Multiagent Systems Under Directed and Switching Topology","authors":"Chao Deng, Weiwei Che","doi":"10.1109/TSMC.2019.2954870","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2954870","url":null,"abstract":"The fault-tolerant formation control problem of a class of nonlinear multiagent systems with actuator/sensor faults under directed and switching network topology is addressed in this article. The main contributions are as follows: 1) the developed controller is effective to compensate for actuator/sensor faults and unknown nonlinearity simultaneously and 2) in contrast to the existing fault-tolerant formation control results, the more general directed and switching network topology is considered. In particular, by using a fuzzy logic system to approximate unknown nonlinearity and by introducing fault estimators to estimate actuator/sensor faults, a novel distributed fuzzy formation controller is developed. By virtue of introducing a modification technique in adaptive law, the phenomenon of strictly increase in adaptive law caused by actuator/sensor faults and unknown nonlinearity can be avoided. In addition, the uniformly ultimately bounded of the formation errors can be shown by introducing a novel Lyapunov function and a new analysis method. The efficiency of the developed method can be shown by an illustrative example demonstrates.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"38 1","pages":"5456-5465"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78016967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}