Article
Automation & Control Systems
Juan Wang, Zipeng Wang, Kaibo Shi, Fujin Jia, Kui Ding
Summary: This paper focuses on the stochastic passivity problem of stochastic memristor-based complex valued neural networks. It develops a sampled-data control strategy using spatial and temporal point sampling, and establishes two different sufficient conditions for the stochastic passivity of the system. The research fills the gap in sampled-data controlled complex-valued reaction-diffusion neural networks.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Haifang Li, Bin Zhou, Mingzhe Hou, Guangren Duan
Summary: The paper presents improvements to the stability analysis of Halanay inequalities with time-varying coefficients, establishing three classes of improved conditions to ensure uniformly exponentially stable solutions. The new conditions allow for unbounded and sign-indefinite coefficients, achieved through the use of uniformly asymptotic stable functions. Based on these improved stability conditions, sufficient criteria are developed for testing the stability of time-varying time-delay systems. The advantages of the proposed methods are illustrated through numerical examples borrowed from literature.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Multidisciplinary
Mohamed A. Mabrok, Maryam Ahmed Alyami, Emad E. Mahmoud
Summary: This paper introduces a new concept of negative imaginary systems and proposes a new definition for extending nonlinear negative imaginary systems. Two different quadratic dynamic supply rates are introduced to broaden the applicability of the dissipativity concept. The new definition allows for a wider range of analysis on negative imaginary systems, enabling consideration of a greater variety of dynamical systems.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Mathematics, Interdisciplinary Applications
N. Boonsatit, R. Sugumar, D. Ajay, G. Rajchakit, C. P. Lim, P. Hammachukiattikul, M. Usha, P. Agarwal
Summary: This article examines the mixed Script capital H-infinity and passivity synchronization of Markovian jumping neutral-type complex dynamical network (MJNTCDN) models with randomly occurring coupling delays and actuator faults. Novel Lyapunov-Krasovskii functional (LKF) is constructed to verify the stability of the error model and performance level, using Jensen's inequality and a new integral inequality. Sufficient conditions for the synchronization error system (SES) are given in terms of linear matrix inequalities (LMIs), with numerical illustrations provided to exhibit the usefulness of the obtained results.
Article
Computer Science, Artificial Intelligence
G. Rajchakit, R. Sriraman
Summary: This article investigates the robust passivity and stability analysis of uncertain complex-valued impulsive neural network (UCVINN) models with time-varying delays. By using appropriate methods, sufficient conditions for the robust passivity and global asymptotic stability of UCVINNs are derived, which can be checked using the MATLAB LMI toolbox.
NEURAL PROCESSING LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Jianying Xiao, Shouming Zhong, Shiping Wen
Summary: In this article, unified criteria for the global dissipativity and stability of delayed fractional-order systems of multidimension-valued memristive neural networks (FSMVMNNs) are analyzed. By establishing a unified model, applying the Lyapunov method, and solving mathematical difficulties, the derived criteria are shown to have advantages in smaller calculation, lower conservatism, more diversity, and higher flexibility. Two numerical examples are provided to demonstrate the effectiveness and improvements of the theoretical results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
N. H. Sau, P. Niamsup, V. N. Phat, M. Thuan
Summary: This paper investigates the problem of state bounding for linear positive singular discrete-time systems with unbounded time-varying delay. The proposed approach utilizes the comparison principle and spectral analysis of matrices to provide new sufficient conditions for the regularity, causality, positivity, and existence of the smallest ultimate upper bound of such systems. The conditions are formulated as linear programming problems that can be solved using an LP optimal toolbox. Numerical examples with simulations demonstrate the advantage and validity of the proposed theoretical results. This method represents the first attempt to address the state bounding problem of linear singular discrete-time systems with unbounded time-varying delays.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Kai-Ning Wu, Wei-Jie Zhou, Xiao-Zhen Liu
Summary: This paper investigates the passivity-based boundary control problem of reaction-diffusion systems with time-varying delay and boundary input-output. By employing the Lyapunov functional method and inequality techniques, sufficient conditions for input strict passivity and output strict passivity of the systems are derived. In the presence of parameter uncertainties, sufficient conditions for robust passivity are presented. Moreover, the theoretical results are applied to the synchronization problem of coupled reaction-diffusion systems with delay, and a criterion for asymptotic synchronization is obtained. Numerical simulations are provided to validate the effectiveness of the theoretical results.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Arjan van der Schaft
Summary: This paper presents new results on cyclo-dissipativity by symmetrizing and extending the basic definitions and results of dissipativity theory, particularly focusing on characterizing and describing the set of storage functions externally.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Mathematics, Applied
Tian Fang, Shiyu Jiao, Dongmei Fu, Lei Su
Summary: This work investigates the passivity-based synchronization issue of Markov switched inertial neural networks with time delays, emphasizing the influence of the inertial term on the neural network. By processing second-order differential equations and designing a feedback controller, passive synchronization is achieved. Sufficient conditions are established using optimized inequality technique and Lyapunov stability theory, and the effectiveness of the results is illustrated through a comparative example.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Computer Science, Information Systems
Yanli Huang, Fang Wu
Summary: The paper discusses the finite-time passivity and synchronization issues for two categories of coupled complex-valued memristive neural networks with and without time-varying delay. It proposes conditions and criteria for finite-time passivity and synchronization, and validates the results with numerical examples.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Theory & Methods
Ruoxia Li, Jinde Cao
Summary: This article presents a dissipativity and synchronization control method for a class of delayed quaternion-valued memristor-based recurrent neural networks. By utilizing Lyapunov functionals, analytical techniques, and novel control algorithms, sufficient conditions are established to achieve dissipativity and synchronization of fuzzy quaternion-valued memristive systems. Additionally, the lexicographical order method is introduced to determine the magnitude of different vectors, and simulation results are provided to demonstrate the effectiveness of the proposed method.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Ruoxia Li, Jinde Cao
Summary: This article discusses dissipativity and synchronization control for a class of delayed quaternion-valued memristor-based recurrent neural networks. By utilizing Lyapunov functionals, analytical techniques, and novel control algorithms, sufficient conditions for achieving dissipativity and synchronization of fuzzy quaternion-valued memristive systems are established. The introduction of the lexicographical order method aids in determining the magnitude of different vectors, and simulation results demonstrate the effectiveness of the proposed method.
FUZZY SETS AND SYSTEMS
(2022)
Article
Mathematics, Applied
M. Shafiya, G. Nagamani
Summary: This paper investigates the extended dissipativity performance of a class of fractional-order uncertain neural networks. It successfully extends the concept of extended dissipativity to fractional-order uncertain neural networks by providing some sufficient conditions. By utilizing the concept of Lyapunov stability theory and linear matrix inequality techniques, the paper derives sufficient criteria to ensure the extended dissipativity performance of the considered class of fractional-order neural networks with two types of uncertainties. The obtained results generalize those in integer-order cases and can be used to specify different performance requirements by adjusting the weighting matrices.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Chaouki Aouiti, Farid Touati
Summary: This article deals with the global dissipativity of Quaternion-Valued Fuzzy Cellular Fractional-Order Neural Networks (QVFCFONNs). The model is solved by separating it into four real-valued parts and using Lyapunov functionals and Linear Matrix Inequalities (LMIs) approach. New sufficient conditions are derived to ensure the global dissipativity for the considered network model.
NEURAL PROCESSING LETTERS
(2023)
Article
Automation & Control Systems
Rathinasamy Sakthivel, Sargunan Priyanka, Oh-Min Kwon, Saminathan Mohanapriya
Summary: This article focuses on the concerns of tracking control and active disturbance rejection for nonlinear switched systems. It employs the Takagi-Sugeno fuzzy framework, state-dependent nonlinear perturbations, actuator saturations, and disturbances. Nonlinear equivalent-input-disturbance technique and modified repetitive control are used to improve system stability and tracking precision. Fuzzy membership functions are utilized to ensure exponential stability of the investigated system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
M. J. Park, S. H. Lee, B. Kaviarasan, O. M. Kwon
Summary: A synchronization method for complex dynamical networks (CDNs) with time-varying delay feedback control is proposed in this article to ensure secure communication between the command system and each node of CDNs. The original information signal transmitted from the command system is encrypted using N-shift cipher and public key techniques to enhance communication security. Through Lyapunov stability sense and linear matrix inequality (LMI) framework, a new delay-dependent synchronization criterion is established to restore the original information signal on each node of the CDN and ensure stable synchronization for secure communication among all nodes of the command system and CDN. The validity of the proposed method is verified through numerical simulation.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Mathematics, Applied
Boomipalagan Kaviarasan, Oh-Min Kwon, Myeong Jin Park, Rathinasamy Sakthivel
Summary: This paper presents a mode-dependent reduced-order filtering problem for semi-Markovian jump systems with time-varying delay and external disturbance, where the measurement output is susceptible to randomly occurring false data injection attacks. The attacks are described by a nonlinear function satisfying Lipschitz continuity and the possible attack scenarios are represented by a stochastic parameter following the Bernoulli distribution. By using Lyapunov-Krasovskii stability theory and stochastic analysis, a convex optimization problem is formulated, and the filter gain matrices are efficiently obtained to ensure the stochastic stability and strict (Q, S, R) - gamma-dissipativity of the augmented filtering system. Numerical examples demonstrate the advantages and effectiveness of the proposed theoretical findings.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Environmental Sciences
Zhou-Yu Liu, Rui Yang, Xue-Ying Xiang, Li-Lu Niu, Dai-Xia Yin
Summary: The addition of biochar can improve the adsorption rate and capacity of heavy metal ions such as Ar, Cr, and Ni on the adsorbent limestone. At the same time, biochar addition can also increase soil pH, enhance the content of soil dissolved organic carbon, and improve the activity of soil catalase.
INTERNATIONAL JOURNAL OF PHYTOREMEDIATION
(2023)
Article
Automation & Control Systems
Ke He, Tieshan Li, Yue Long, Ju H. Park, C. L. Philip Chen
Summary: In this paper, the authors investigate the secure state estimation attack and reconstruction problems for linear cyber-physical systems (CPSs) under actuator attacks and unknown disturbances. A continuous sliding mode observer with an exponential reaching law strategy is introduced to improve the dynamic quality and eliminate chattering. The original system is transformed into a special attack channel separation form, and an improved sliding mode observer with disturbance compensation is obtained to solve the secure state estimation problem. Simulation results on a VTOL aircraft validate the effectiveness of the proposed scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Mouquan Shen, Xianming Wang, Ju H. Park, Yang Yi, Wei-Wei Che
Summary: This article presents a data-driven control method for networked nonlinear systems with event-triggered output. It constructs an improved extended state observer to estimate unknown disturbances and builds an output estimator based on the triggered output and the estimated output. The triggering conditions for different systems are proposed by integrating the estimated disturbances, tracking errors, and actual errors. The effectiveness of the proposed strategies is verified through numerical examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Ramalingam Sakthivel, Oh-Min Kwon, Myeong Jin Park, Rathinasamy Sakthivel
Summary: This article addresses the event-based finite-time dissipative filtering issue for interval type-2 fuzzy complex dynamical networks with coupling delays and cyber attacks. An event-triggered scheme introducing the estimation error is designed to balance state estimator performance and network communication bandwidth based on practical requirements. The proposed filter design parameters are obtained by solving linear matrix inequalities (LMIs). The effectiveness and applicability of the proposed event-based dissipative filtering scheme are demonstrated through numerical and practical examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Wenhai Qi, Yakun Hou, Ju H. Park, Guangdeng Zong, Jinde Cao, Jun Cheng
Summary: This article focuses on the problem of discrete-time sliding mode control (DTSMC) for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is used for controlling the switching between different modes, and a sliding mode function related to the attack probability is constructed to analyze the impact of malicious attacks. Sufficient conditions are derived to ensure that the proposed DTSMC law can drive the system dynamics onto the preset sliding region within a limited time.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Xiao Cai, Kaibo Shi, Kun She, Poogyeon Park, Shouming Zhong, Ohmin Kwon, Yue Yu
Summary: This article focuses on the event-triggered strategy design of a two-degree-of-freedom helicopter system with denial-of-service attacks. The attack characteristics of DoS are introduced, and the DoS attacks on the system are considered. A new first-order weight-sampling control method is developed, and novel-looped functionals are constructed. Furthermore, a new event-triggered controller is designed under DoS attacks to ensure the stability of the system.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Computer Science, Artificial Intelligence
Wei Liu, Jianhang Zhao, Huanyu Zhao, Qian Ma, Shengyuan Xu, Ju H. Park
Summary: This article studies a finite-time fuzzy adaptive dynamic surface control (DSC) method based on a nonlinear disturbance observer (NDO) for nonlinear systems with external disturbances and preassigned performance indices. By constructing a finite-time preassigned-performance function (FTPF), the tracking error is confined within its boundaries, satisfying performance metrics. The proposed composite NDO (CNDO) scheme incorporates fuzzy adaptive control to estimate unknown composite disturbances.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Wenhai Qi, Ning Zhang, Ju H. Park, Hak-Keung Lam, Jun Cheng
Summary: This paper studies the sliding mode control problem for interval type-2 fuzzy semi-Markovian jumping systems subject to channel fading. A fuzzy control scheme is proposed to achieve the reachability of the specified sliding region in line with channel fading. Sufficient conditions are derived to ensure the stochastic stability of the underlying system by utilizing the boundary information of the global membership functions.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Tao Wu, Jinde Cao, Lianglin Xiong, Ju H. Park, Xuegang Tan
Summary: This article proposes a refined adaptive sampled-data-based event-triggering control (ASDBETC) scheme for synchronizing reaction-diffusion complex-valued neural networks (RDCVNNs) with probabilistic time-varying delays (TVDs). The refined ASDBETC mechanism adaptively adjusts event-triggered threshold parameters based on the variational tendency of states and Euclidean distance between states. The developed theories provide additional flexibility in achieving a better compromise between communication resources and control performance. Simulation examples verify the advantages and practicality of the refined ASDBETC strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Wenhai Qi, Jichao Zhang, Ju. H. H. Park, Zheng-Guang Wu, Huaicheng Yan
Summary: This article investigates sliding mode control for discrete-time nonlinear semi-Markov jump models with a partly known semi-Markov kernel. The nonlinear system is characterized by the Takagi-Sugeno fuzzy model, and the membership functions for fuzzy rules are designed to relate to the system mode. A novel convex mean-square stability is proposed for the system based on classical Lyapunov stability and fuzzy-model-based approach, and a fuzzy SMC law strategy is constructed to guarantee the reachability of the discrete quasi-sliding mode. A robot arm model is simulated to verify the proposed strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Guopin Liu, Ju H. Park, Changchun Hua, Hongshuang Xu, Yafeng Li
Summary: This article investigates the distributed leader-following consensus for a class of nonlinear stochastic multiagent systems (MASs) under directed communication topology. A dynamic gain filter is designed for each control input to estimate unmeasured system states and reduce filtering variables. A novel reference generator is proposed to relax the restriction on communication topology. A distributed output feedback consensus protocol is proposed by incorporating adaptive radial basis function (RBF) neural networks to approximate unknown parameters and functions. The proposed approach significantly reduces the number of dynamic variables in filters compared to existing works on stochastic MASs. The agents considered in this article have multiple uncertain/unmatched inputs and stochastic disturbance. The effectiveness of the results is demonstrated through a simulation example.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Meijie Zhang, Xinsong Yang, Qihan Qi, Ju H. Park
Summary: This article investigates the state estimation issue of a switched complex network with time delay and external disturbances. It proposes adaptive mode-dependent nonidentical event-triggered control mechanisms for state estimators, which are more practical and flexible compared to existing methods. By using dwell-time segmentation and convex combination methods, a novel discretized Lyapunov-Krasovskii functional is developed to facilitate nonweighted L-2-gain analysis without additional conservative transformation. The main results are presented in the form of linear matrix inequalities, and a numerical example illustrates the advantages of the proposed method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
