Yuanrong Xu, Yao Lu, Guangming Lu, Jinxing Li, Dafan Zhang
{"title":"Fast Pore Comparison for High Resolution Fingerprint Images Based on Multiple Co-Occurrence Descriptors and Local Topology Similarities","authors":"Yuanrong Xu, Yao Lu, Guangming Lu, Jinxing Li, Dafan Zhang","doi":"10.1109/TSMC.2019.2957411","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957411","url":null,"abstract":"Pore-based fingerprint recognition has been researched for decades. Many algorithms have been proposed to improve the recognition accuracy of the system. However, the accuracies are always improved at the cost of speed. This article proposes a novel method to compare the pores in high-resolution fingerprint images using the popular coarse-to-fine strategy. A multiple spatial pairwise local co-occurrence descriptor is proposed to improve the calculation of the similarities between pores. It calculates multiple local co-occurrence statistics for each pore using its neighbors. The proposed method can establish correspondences between pores more accurately. The refinement of the correspondences is then achieved by using a local topology-preserving matching algorithm. The algorithm uses rotational invariant local structures and pore pair local topology similarities to calculate the cost of each correspondence. It can remove the mismatches more accurately and efficiently. The experimental results on two high-resolution fingerprint image databases show that the proposed algorithm perform well in both accuracy and speed comparing to the existing algorithms.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"10 1","pages":"5721-5731"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84643359","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":"Fuzzy Adaptive Tracking Control for State Constraint Switched Stochastic Nonlinear Systems With Unstable Inverse Dynamics","authors":"Wei Wu, Yong-ming Li, Shaocheng Tong","doi":"10.1109/TSMC.2019.2956263","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956263","url":null,"abstract":"In this article, a novel fuzzy adaptive tracking control scheme is concerned for a class of stochastic state-constrained switched nonlinear systems. The considered stochastic switched nonlinear system contains unknown nonlinearities and unstable inverse dynamics. In the design process, first, fuzzy logic systems (FLSs) are used to approximate the unknown nonlinear dynamics. Second, the stochastic barrier Lyapunov functions (BLFs) are constructed to deal with the state constraint problem. Then, an adaptive fuzzy state-feedback controller is designed by utilizing the $Ithat o$ lemma and average dwell time (ADT) approach, which can guarantee both the control system and unstable inverse dynamics to be bounded in probability and all the states cannot violate their constrained sets. Two simulation examples are provided to show the effectiveness of the proposed control approach.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"302 1","pages":"5522-5534"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77181957","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}
Weifeng Gao, G. Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang
{"title":"Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm","authors":"Weifeng Gao, G. Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang","doi":"10.1109/TSMC.2019.2957324","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2957324","url":null,"abstract":"A two-phase evolutionary algorithm is developed to find multiple solutions of a nonlinear equations system. It transforms a nonlinear equations system into a multimodal optimization problem. In phase one of the proposed algorithm, a strategy combines a multiobjective optimization technique and a niching technique to maintain the population diversity. Phase two consists of a detection method and a local search method for encouraging the convergence. The detection method finds several promising subregions and the local search method locates the corresponding optimal solutions in each promising subregion. The experiments on a set of 30 nonlinear equation systems demonstrate that the proposed algorithm is better than other state-of-the-art algorithms.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"83 1","pages":"5652-5663"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83045564","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":"Model-Based Periodic Event-Triggered Control Strategy to Stabilize a Scalar Nonlinear System","authors":"Rundong Dou, Q. Ling","doi":"10.1109/TSMC.2019.2949911","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2949911","url":null,"abstract":"This article focuses on the problem of stabilizing a scalar continuous-time nonlinear system under bounded network delay and process noise. In order to save the feedback network’s bandwidth, a model-based periodic event-triggered control policy is utilized to maintain longer intersampling intervals, which are at least as long as the sampling period of periodic policies. Furthermore, the event-triggering condition is only checked intermittently at fixed time instants, i.e., the sampling time instants. Without acknowledgment (ACK), the updating of nominal models at the sensor and at the controller are asynchronous. The two cases, where the network delay is either less than the sampling period or larger than the sampling period, are investigated. In comparison with periodic sampling methods, our scheme can make full use of the received data packets, particularly their sampling time instant information, which yields a lower occupied bit rate while guaranteeing the desired input-to-state stability. Note that the obtained bit rate conditions are only related to the Lipschitz parameter, the bound of network delay, the number of quantization bits, and the sampling period. The bounded process noise will not incur any increase of the stabilizing bit rate under the proposed strategy.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"21 1","pages":"5322-5335"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90834577","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":"Secure Conflicts Avoidance in Multidomain Environments: A Distributed Approach","authors":"Benyuan Yang, Hesuan Hu","doi":"10.1109/TSMC.2019.2954589","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2954589","url":null,"abstract":"In a multidomain application environment, it is of paramount importance for different organizations to collaborate with each other to facilitate secure interoperation. However, various types of conflicts related to access control constraints may arise as a result of integrating access control policies for individual domains, such as role inheritance violations (RIVs) and separation of duty violations (SoDVs). Current methods solve the conflicts in a centralized way by withdrawing or removing all crossdomain relationships resulting in the violations with the knowledge of all domains. However, these methods are inappropriate for large-scale systems due to their high computational complexity. In this article, we propose a distributed approach to avoid secure conflicts in a multidomain environment. We first model the role inheritance hierarchies of multiple domains as an interoperation graph. We then develop RIVs and SoDVs avoidance algorithms based on the interoperation graph and the communications among different domains. Each domain can execute the algorithms autonomously and in real time by evaluating whether its succeeding activated role can result in RIVs and SoDVs. We show that the new algorithms perform well in contrast to the existing algorithms.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"52 1","pages":"5478-5489"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81043673","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 Robust Hybrid of a Feedback Linearization Technique and an Interval Type-2 Fuzzy Control System for the Flapping Angle Dynamics of a Biomimetic Aircraft","authors":"Fendy Santoso, M. Garratt, S. Anavatti","doi":"10.1109/TSMC.2019.2956735","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956735","url":null,"abstract":"We introduce a new configuration of a robust and adaptive autopilot system for a model-scale flapping-wing aircraft. The system is specifically designed to achieve high performance flapping angle tracking in the face of large uncertainties. To describe the dynamics of the system, we leverage the benefits of both first principle modeling and data-driven approach (system identification technique). We introduce a high-performance robust and adaptive nonlinear control system by means of a feedback linearization (FL) technique, supported with an interval Type-2 fuzzy system due to its ability to accommodate the footprint-of-uncertainties (FoUs). While the first stage of our nonlinear control system is to cancel some predictable nonlinearities using an FL technique, the second phase of control is to accommodate the existing uncertainties in the system by way of an interval Type-2 fuzzy control technique, e.g., due to imperfect cancelation and modeling errors. This way, the stability and the robustness of the closed-loop control system can be guaranteed. We quantify the relative merit of our hybrid control system with respect to an FL technique, supported with a fixed gain state feedback controller and a Type-1 fuzzy system. Lastly, we also conduct stability analysis of the overall closed-loop control system.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"32 1","pages":"5664-5673"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85133381","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":"Funnel Control of Uncertain High-Order Nonlinear Systems With Unknown Rational Powers","authors":"Yong‐Hua Liu, C. Su, Qi Zhou","doi":"10.1109/TSMC.2019.2956672","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956672","url":null,"abstract":"This article considers the funnel output tracking control for a class of high-order uncertain nonlinear systems with the powers of positive odd rational numbers, aiming to accomplish output tracking with prescribed accuracy when both the system nonlinearities and the powers of the system are unknown. For such a purpose, a robust funnel control algorithm, i.e., a continuous, static, and universal, state-feedback controller is explicitly constructed, which achieves the state errors evolving within the predesigned performance space. Benefits of the proposed funnel output tracking controller comparing with the current approaches lie in the fact that the exact knowledge of system nonlinearities, including generally required bounding functions, is not needed to be a priori. Moreover, all the powers in each high-order subsystem are permitted to be any unknown positive odd rational numbers as well. The efficacy of the developed algorithm is confirmed through two illustrative examples.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"123 1","pages":"5732-5741"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90589236","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":"Global Adaptive Control for Uncertain Nonlinear Systems With Sensor and Actuator Faults","authors":"Jiali Ma, Ju H. Park, Shengyuan Xu","doi":"10.1109/TSMC.2019.2956215","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956215","url":null,"abstract":"In this article, the global adaptive fault-tolerant control is considered for a class of uncertain nonlinear systems with sensors, actuator faults, and disturbance. Different from the previous results, there are no a priori bounds of the sensor sensitivity, actuation effectiveness, and disturbance. A switching-type adaptive controller is designed where the controller parameter is tuned online by the proposed switching mechanism. It has also been proven that global stability can be achieved under the designed controller. Finally, a simulation example is provided to illustrate the effectiveness of the proposed method.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"1 1","pages":"5503-5510"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79841905","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":"Further Results on Fixed-Time Stabilization and Tracking Control of a Marine Surface Ship Subjected to Output Constraints","authors":"Zhongcai Zhang, Yuqiang Wu","doi":"10.1109/TSMC.2019.2950329","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2950329","url":null,"abstract":"A stabilization control can be used to maintain the position and attitude of the ship, mooring manipulation, and tracking control can force ships to enter the preplanned route from any initial position and finally reach the destination along the route. In this article, both the prespecifiable fixed-time stabilization control and adaptive trajectory tracking control are considered for a kind of fully actuated ocean surface ship under output constraints. Barrier Lyapunov function (BLF) is utilized to remedy with the output limitation constraints. By combining the fixed-time control and switching techniques, and choosing the appropriate symmetric Lyapunov function, the control algorithm of fixed-time stabilization is designed guaranteeing that the closed-loop system state trajectories tend to zero in a fixed time and meanwhile not going beyond the preset operating range in the control process. The adaptive tracking control law is proposed by using the asymmetric BLF and adaptive control technologies. Under the adaptive controller, the output constraints are also achieved, and the tracking errors are adaptively converge to steady zero states, respectively, while keeping all the signals bounded in the control process. The simulations are carried out to demonstrate the effectiveness of the presented control methods.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"12 1","pages":"5300-5310"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88067613","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}
Yuxuan Yang, Z. Gao, Yanli Li, Qing Cai, N. Marwan, J. Kurths
{"title":"A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals","authors":"Yuxuan Yang, Z. Gao, Yanli Li, Qing Cai, N. Marwan, J. Kurths","doi":"10.1109/TSMC.2019.2956022","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2956022","url":null,"abstract":"Driver fatigue detection is of great significance for guaranteeing traffic safety and further reducing economic as well as societal loss. In this article, a novel complex network (CN) based broad learning system (CNBLS) is proposed to realize an electroencephalogram (EEG)-based fatigue detection. First, a simulated driving experiment was conducted to obtain EEG recordings in alert and fatigue state. Then, the CN theory is applied to facilitate the broad learning system (BLS) for realizing an EEG-based fatigue detection. The results demonstrate that the proposed CNBLS can accurately differentiate the fatigue state from an alert state with high stability. In addition, the performances of the four existing methods are compared with the results of the proposed method. The results indicate that the proposed method outperforms these existing methods. In comparison to directly using EEG signals as the input of BLS, CNBLS can sharply improve the detection results. These results demonstrate that it is feasible to apply BLS in classifying EEG signals by means of CN theory. Also, the proposed method enriches the EEG analysis methods.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"74 1","pages":"5800-5808"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80709547","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}