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Computer systems Science & Engineering 2022年第10期43卷 291-304页

作者： T.S.Balaji S.Srinivasan S.Prasanna Bharathi B.Ramesh Saveetha School of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India Department of Electronics and Communication Engineering College of Engineering&TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Institute of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India Department of Electronics and Communication Engineering SRM Institute of Science and Technology600026ChennaiIndia Department of Civil Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India

Due to the advanced developments in communication technologies,Internet of vehicles and vehicular adhoc networks(VANET)offers numerous opportunities for effectively managing transportation *** the other,the cloud environment needs to disseminate the emergency message to the vehicles which are consistently distributed on the roadway so that every vehicle gets the messages from closer vehicles in a straightforward *** resolve this issue,clustering and routing techniques can be designed using computational intelligence *** this motivation,this paper presents a new type-2 fuzzy sets based clustering with metaheuristic optimization based routing(T2FSCMOR)technique for secure communication in *** T2FSC-MOR technique aims to elect CHs and optimal routes for secure intercluster data transmission in *** proposed model involves T2FSC technique for the selection of CHs and construction of *** T2FSC technique uses different parameters namely traveling speed(TS),link quality(LQ),trust factor(TF),inter-vehicle distance(IVD),and neighboring node count(NCC).The inclusion of trust factor helps to select the proper cluster heads(CHs)for secure data dissemination ***,trust aware seagull optimization based routing(TASGOR)approach was derived for the optimal selection of routes in *** order to validate the enhanced performance of proposed technique,the set of simulations take place and the outcomes are examined interms of different *** experimental outcomes highlighted the improved performance of the proposed model over the other state of art techniques with a higher throughput of 98%.

关键词： VANET security clustering routing fuzzy logic systems metaheuristic algorithms

Adaptive fuzzy tracking control for a class of uncertain MIMO nonlinear systems using disturbance observer

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Science China(Information Sciences) 2014年第1期57卷 246-258页

作者： CHEN Mou CHEN WenHua WU QinXian College of Automation Engineering Nanjing University of Aeronautics and Astronautics Department of Aeronautical and Automotive Engineering Loughborough University Loughborough

In this paper,the adaptive fuzzy tracking control is proposed for a class of multi-input and multioutput(MIMO)nonlinear systems in the presence of system uncertainties,unknown non-symmetric input saturation and external *** logic systems(FLS)are used to approximate the system uncertainty of MIMO nonlinear ***,the compound disturbance containing the approximation error and the timevarying external disturbance that cannot be directly measured are estimated via a disturbance *** appropriately choosing the gain matrix,the disturbance observer can approximate the compound disturbance well and the estimate error converges to a compact *** control strategy is further extended to develop adaptive fuzzy tracking control for MIMO nonlinear systems by coping with practical issues in engineering applications,in particular unknown non-symmetric input saturation and control *** this setting,the disturbance observer technique is combined with the FLS approximation technique to compensate for the efects of unknown input saturation and control *** approach based analysis shows that semi-global uniform boundedness of the closed-loop signals is guaranteed under the proposed tracking control *** simulation results are presented to illustrate the efectiveness of the proposed tracking control schemes.

关键词： MIMO nonlinear system input saturation disturbance observer fuzzy logic systems tracking control

HiTL-based adaptive fuzzy tracking control of MASs:A distributed fixed-time strategy

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Science China(Technological Sciences) 2023年第10期66卷 2907-2916页

作者： LIU Yang CHI RongHu LI HongYi WANG LiJie LIN Na College of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266061China School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China Institute of Complexity Science and the School of Automation Qingdao UniversityQingdao 266071China

Human-in-the-loop(HiTL)control is promising for the cooperative control problem of multi-agent systems(MASs)under the complicated *** considering the effect of human intelligence and decision making,the system robustness and security are notably ***,a distributed fixed-time tracking control problem is investigated in this paper for heterogeneous MASs based on the HiTL ***,a lemma of practically fixed-time stable is given where an explicit relationship of settling time and convergence domain is clearly ***,under the framework of the adaptive backstepping approach,a series of modified intermediate control signals is designed to avoid the singularity problem by taking advantage of power transformation,fuzzy logic systems,and inequality ***,the numerical example and comparison results are utilized to testify the effectiveness of the proposed method.

关键词： human-in-the-Loop heterogeneous MASs fixed-time stable adaptive tracking control fuzzy logic systems

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A Non-Singleton Type-3 fuzzy Modeling: Optimized by Square-Root Cubature Kalman Filter

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Intelligent Automation & Soft Computing 2023年第7期37卷 17-32页

作者： Aoqi Xu Khalid A.Alattas Nasreen Kausar Ardashir Mohammadzadeh Ebru Ozbilge Tonguc Cagin School of Economics Fujian Normal UniversityFuzhou350007China Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah23890Saudi Arabia Department of Mathematics Faculty of Arts and ScienceYildiz Technical UniversityEsenler34220IstanbulTurkey Multidisciplinary Center for Infrastructure Engineering Shenyang University of TechnologyShenyang110870China American University of the Middle East Department of Mathematics&Statistics54200EgailaKuwait

In many problems,to analyze the process/metabolism behavior,a mod-el of the system is identiﬁ*** main gap is the weakness of current methods *** *** primary objective of this study is to present a more robust method against *** paper proposes a new deep learning scheme for modeling and identiﬁcation *** suggested approach is based on non-singleton type-3 fuzzy logic systems(NT3-FLSs)that can support measurement errors and high-level *** the rule optimization,the antecedent parameters and the level of secondary memberships are also adjusted by the suggested square root cubature Kalmanﬁlter(SCKF).In the learn-ing algorithm,the presented NT3-FLSs are deeply learned,and their nonlinear structure is *** designed scheme is applied for modeling carbon cap-ture and sequestration problem using real-world data *** various ana-lyses and comparisons,the better efﬁciency of the proposed fuzzy modeling scheme is veriﬁ*** main advantages of the suggested approach include better resistance against uncertainties,deep learning,and good convergence.

关键词： Modeling computational intelligence fuzzy logic systems modeling identiﬁcation deep learning type-3 fuzzy systems optimization

Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent systems

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International Journal of Automation and computing 2021年第5期18卷 826-837页

作者： Jia-Xi Chen Jun-Min Li School of Mathematics and Statistics Xidian UniversityXi'an 710071China

Using graph theory, matrix theory, adaptive control, fuzzy logic systems and other tools, this paper studies the leader-follower global consensus of two kinds of stochastic uncertain nonlinear multi-agent systems(MAS). Firstly, the fuzzy logic systems replaces the feedback compensator as the feedforward compensator to describe the uncertain nonlinear dynamics. Secondly, based on the network topology, all followers are divided into two categories: One is the followers who can obtain the leader signal, and the other is the follower who cannot obtain the leader signal. Thirdly, based on the adaptive control method, distributed control protocols are designed for the two types of followers. Fourthly, based on matrix theory and stochastic Lyapunov stability theory, the stability of the closed-loop systems is analyzed. Finally, three simulation examples are given to verify the effectiveness of the proposed control algorithms.

关键词： fuzzy logic systems stochastic nonlinear multi-agent systems(MAS) consensus algorithm adaptive control

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Adaptive fuzzy Observer Backstepping Control for a Class of Uncertain Nonlinear systems with Unknown Time-delay

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International Journal of Automation and computing 2010年第2期7卷 236-246页

作者： Shao-Cheng Tong Ning Sheng Department of Mathematics Liaoning University of Technology Jinzhou 121000 PRC

In this paper, a new adaptive fuzzy backstepping control approach is developed for a class of nonlinear systems with unknown time-delay and unmeasured states. Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy state observer is designed for estimating the unmeasured states. On the basis of the state observer and applying the backstepping technique, an adaptive fuzzy observer control approach is developed. The main features of the proposed adaptive fuzzy control approach not only guarantees that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded, but also contain less adaptation parameters to be updated on-line. Finally, simulation results are provided to show the effectiveness of the proposed approach.

关键词： fuzzy logic systems nonlinear time-delay systems adaptive backstepping control state observer stability analysis.

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Practical fixed-time adaptive fuzzy control of uncertain nonlinear systems with time-varying asymmetric constraints: a unified barrier function based approach

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Frontiers of Information Technology & Electronic Engineering 2024年第9期25卷 1282-1294页

作者： Zixuan HUANG Huanqing WANG Ben NIU Xudong ZHAO Adil M.AHMAD College of Engineering Bohai UniversityJinzhou 121013China College of Mathematical Science Bohai UniversityJinzhou 121013China School of Information Science and Engineering Shandong Normal UniversityJinan 250014China Faculty of Electronic Information and Engineering Dalian University of TechnologyDalian 116024China Communication systems and Networks Research Group Department of Information TechnologyFaculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia

A practical fixed-time adaptive fuzzy control strategy is investigated for uncertain nonlinear systems with time-varying asymmetric constraints and input quantization. To overcome the difficulties of designing controllers under the state constraints, a unified barrier function approach is employed to construct a coordinate transformation that maps the original constrained system to an equivalent unconstrained one, thus relaxing the time-varying asymmetric constraints upon system states and avoiding the feasibility check condition typically required in the traditional barrier Lyapunov function based control approach. Meanwhile, the “explosion of complexity” problem in the traditional backstepping approach arising from repeatedly derivatives of virtual controllers is solved by using the command filter method. It is verified via the fixed-time Lyapunov stability criterion that the system output can track a desired signal within a small error range in a predetermined time, and that all system states remain in the constraint range. Finally, two simulation examples are offered to demonstrate the effectiveness of the proposed strategy.

关键词： Unified barrier function Time-varying asymmetric state constraints fuzzy logic systems Fixed-time control Command filter

fuzzy Finite-Time Tracking Control of Nonlinear systems with Quantized States and Saturated Quantized Input

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Fuzzy Finite-Time Tracking Control of Nonlinear Systems with...

Adaptive fuzzy Control Scheme With Guaranteed Performance For Uncertain Nonlinear systems Preceded By Preisach Operator

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作者： Xiaowei Yu Xiaoli Li Faculty of Information Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology

This paper investigates the issue of adaptive finite-time tracking for nonlinear systems with both quantized input and states. More specially, a saturated quantized input is applied for the input quantization. By constructing a novel high-gain fuzzy state observer, the issues of unknown nonlinearities and discontinuous quantized signals are addressed. Then an adaptive backstepping controller involving the fuzzy logic systems is developed. It is verified that, with the designed control method,all signals of the closed-loop system are bounded, and the tracking error can be made small by choosing the design parameters suitably. Finally, a simulation example is studied to show the effectiveness of the control scheme.

关键词： Quantized States Finite-time Tracking High-gain Observer fuzzy logic systems

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Adaptive Fuzzy Control Scheme With Guaranteed Performance Fo...