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Article
Computer Science, Interdisciplinary Applications
Xinna Li et al.
Summary: This paper discusses the issue of prescribed-time synchronization in networks of piecewise smooth systems. It presents two new lemmas for nonlinear piecewise smooth systems, which allow for arbitrary preset stable time and are independent of control parameters and initial values. The paper also introduces a feedback controller and a novel event-triggered controller to achieve prescribed-time synchronization. The conditions for prescribed-time synchronization are obtained using set-valued analysis technique and generalized Lyapunov functional approach, in terms of linear matrix inequalities (LMIs). Two application examples are provided to validate the obtained results and the effectiveness of the control schemes.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Computer Science, Artificial Intelligence
Jin-Liang Wang et al.
Summary: This article presents new concepts of alpha-passivity and alpha-finite-time passivity (alpha-FTP) for fractional-order systems with different input and output dimensions, extending existing definitions and conditions. The study develops sufficient conditions for alpha-passivity of multi-weighted fractional-order complex dynamical networks (MWFOCDNs) with fixed and adaptive couplings, and discusses synchronization based on alpha-output-strict passivity (alpha-OSP). Additionally, alpha-FTP for MWFOCDNs with fixed and adaptive couplings is studied using a designed state feedback controller, and the relationship between finite-time synchronization (FTS) and alpha-FTP is illustrated. The validity of the obtained criteria is demonstrated through numerical examples and simulation results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Shimin Wang et al.
Summary: This article investigates the problem of leaderless consensus in heterogeneous Euler-Lagrange systems connected by multiple networks, where the systems are subject to persistent disturbances with unknown constants. The unique characteristic of this study is that the agents lack information on a common reference model or trajectory. However, by utilizing distributed observers, internal model principles, and adaptive regulation, consensus to a common reference model, consensus to a common reference trajectory, and rejection of unknown disturbances can be achieved. This design extends recent research on group model learning for linear agents in undirected networks to Euler-Lagrange dynamics in directed networks with persistent unknown disturbances.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Computer Science, Information Systems
Guangming Zhuang et al.
Summary: This paper investigates the observer-based asynchronous feedback H-infinity control problem for time-varying delay fuzzy implicit jump systems under event-driven strategy. A hidden Markovian model is used to capture the asynchronization mechanism between the modes of controlled system and the modes of controller. By applying free weight matrix method and singular value decomposition technique, new observer-based asynchronous H-infinity control criteria are obtained to guarantee that the delayed fuzzy implicit jump systems satisfy stochastic admissibility with H-infinity performance. The effectiveness and practicality of the results are verified through simulation examples including a practical system of single-link robot arm.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Sung Jin Yoo
Summary: In this paper, a connectivity-preserving performance function approach is proposed for the distributed output-feedback synchronized tracking of uncertain heterogeneous nonlinear multiagent systems. The approach utilizes a universal output-feedback synchronized control methodology that ensures both initial network connectivity and preselected synchronization performance using a connectivity-preserving performance function with a designable convergence time. The approach includes the design of neural-network-based adaptive observers for each follower to ensure boundedness of estimation errors, and the construction of local event-triggered synchronized trackers using relative output information and the connectivity-preserving performance function in a low-complexity sense.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Yuting Cao et al.
Summary: This paper addresses the fixed-time output synchronization problems for two types of complex dynamical networks with multi-weights (CDNMWs) by using two types of adaptive control methods. The networks with multiple state and output couplings are presented, and fixed-time output synchronization criteria are formulated based on Lyapunov functional and inequality techniques. The fixed-time output synchronization issues of these networks are dealt with using the two types of adaptive control methods. The analytical results are verified by two numerical simulations.
Article
Engineering, Multidisciplinary
Dongdong Yue et al.
Summary: In this paper, distributed sampled-data consensus problems are revisited from a scalability point of view. Existing solutions for estimating the maximum sampling interval that preserves stability rely on the Lyapunov functional method. In contrast, this paper proposes an easy-to-use and scalable method with stability conditions that are independent on the size of the network.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Chen Wang et al.
Summary: This research investigates the fixed-time event-triggered fuzzy adaptive control for uncertain nonlinear systems with full-state constraints. Due to the difficulty of modeling and the inherent characteristics of mechanical structures, uncertainties and state constraints often arise in engineering applications, and the system may suffer from network congestion. Ignoring the effects of these constraints can affect the performance of the system. In addition, the system often requires high convergence speeds to increase productivity. To cope with these problems, this study investigates the fixed-time event-triggered fuzzy adaptive control method, which uses special barrier Lyapunov functions (BLFs) to ensure that the full-state constraints are not violated. A fuzzy based event-triggered mechanism (ETM) is also designed to manage limited communication resources. Simulation results verify the feasibility of the proposed method.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Malika Sader et al.
Summary: A general double-layer scheme is proposed to resolve the cooperative output regulation problem of heterogeneous multi-agent systems subject to actuator saturation and faults. In the network layer, an observer generates a reference trajectory for each follower on the directed communication topology, while a semi-global fault-tolerant control strategy compensates for the impact of actuator saturation and faults in the physical layer. The proposed strategy exhibits better generality and a numerical simulation case study verifies its feasibility.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Chao Xu et al.
Summary: This paper studies the problem of dynamic event-based finite-horizon fault estimation in discrete-time complex networks with fading channels. Channel fading phenomenon is considered in the communication from sensor to estimator, as it reflects the actual situation. A dynamic event-triggered mechanism is implemented for signal transmissions. The main contributions include the establishment of sufficient conditions for the fault estimator's existence, derivation of the gain of the fault estimator, and demonstration of the effectiveness through an illustrative example.
INFORMATION SCIENCES
(2023)
Article
Mathematics, Applied
Shang Gao et al.
Summary: This paper studies the global asymptotic stability in mean for stochastic complex networked control systems and constructs a global Lyapunov function for these systems. It provides sufficient criteria guaranteeing the stability of the systems, which are closely related to the topological structure and coupling form functions. An application to a class of stochastic Lurie coupled control systems on networks is also presented, and a numerical test is conducted to explain the validity of the theories.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Automation & Control Systems
Cheng Hu et al.
Summary: This article proposes a model of intermittently coupled spatiotemporal networks (ICSNs), where the couplings among nodes are intermittent and the coupling strengths are related to both time and space. By designing a distributed adaptive protocol and its pinning form, synchronization of nodes in the network can be achieved. The theoretical analysis is supported by a numerical example.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Cheng Hu et al.
Summary: This article reconsiders fixed-time stability (FXTS) and fixed-time control (FXTC) of dynamic systems using special functions to improve the accuracy of settling time estimate and reduce chattering. New FXTS criteria are established and upper bounds of settling time are calculated, ensuring the most accurate estimates compared to existing results. Additionally, saturation functions are constructed to suppress chattering caused by the sign function, and a new system is obtained through rigorous theoretical analysis. Applications to chaotic systems stabilization and a novel saturation controller for preassigned-time stabilization are also explored, showing improvement over existing methods with time-varying infinite gains. Three numerical examples are provided to verify the improved estimates and chattering reduction.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Jian Liu et al.
Summary: This article addresses the fixed-time average consensus problem of nonlinear multiagent systems subject to various challenges, such as input delay, external disturbances, and switching topologies. An event-based control strategy is proposed to tackle this problem effectively, considering factors like nonlinear dynamics, external disturbances, and intermittent communication. The proposed approach reduces resource consumption significantly compared to continuous monitoring methods.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Lei Shi et al.
Summary: This paper introduces a new opinion dynamic model that explains the evolution of trust/distrust levels between agents due to opinion differences. It also conducts a theoretical analysis on opinion consensus and polarization with the presence of a stubborn leader, and further explores opinion dynamics in networks with multiple non-stubborn leaders. Numerical simulations are provided to illustrate the theoretical results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Tao Liang et al.
Summary: This paper investigates the bipartite synchronization problem of complex networks with quantized couplings and stochastic perturbations using the preassigned-time control method. By designing a new controller and providing a PAT criterion, stochastic bipartite synchronization is achieved.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Computer Science, Information Systems
Jiaxin Chen et al.
Summary: This paper investigates the communication and control issues in UAV communication networks, specifically considering leader-follower formation. It proposes a two-way consensus game to address the joint channel and link selection problem, and introduces the concept of generalized two-way consensus equilibrium. The paper proves the existence of an optimal solution and proposes algorithms to achieve it. Simulation results confirm the effectiveness of the proposed algorithms.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Haoyu Li et al.
Summary: This paper addresses the fixed-time stabilization and preassigned-time stabilization problems for delayed memristive neural networks using a unified controller. It proposes a delayed controller for achieving fixed-time stabilization and presents sufficient conditions and accurate time estimation. It also introduces a parameter modification approach for achieving stabilization within an arbitrary preassigned time, removing the constraints on system and controller parameters.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Lingzhong Zhang et al.
Summary: This paper studies the output consensus of heterogeneous switching linear multi-agent systems (LMASs) and proposes an event-triggered impulsive control algorithm and a distributed control law. The theoretical results are demonstrated through a numerical example.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Lirui Zhao et al.
Summary: This paper investigates the finite/fixed-time bipartite consensus problem for networks of diffusion partial differential equations (PDEs) using the event-triggered control strategy. A global convergence principle in fixed time is developed for theoretical analysis and a C0-semigroup method is adopted to ensure the well-posedness of the network systems. Two new event-triggered control protocols are designed to achieve finite/fixed-time bipartite consensus, and the consensus conditions and settling time are analyzed using the proposed convergence principle, Lyapunov functional approach, and inequality analysis technique. Numerical examples are provided to validate the theoretical results.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Caicai Zheng et al.
Summary: This article investigates the fixed-time (FXT) synchronization of discontinuous competitive neural networks (CNNs) with time-varying delays. Two types of discontinuous FXT control schemes are proposed, and two forms of Lyapunov function based on p-norm and 1-norm are constructed to analyze the FXT synchronization of CNNs. By employing nonsmooth analysis and inequality techniques, simple criteria for achieving FXT synchronization and an upper bound of the settling time with less conservativeness are derived. The effect of time scale on FXT synchronization of CNNs is also considered, and numerical results for an example are provided to validate the theoretical findings.
Article
Computer Science, Artificial Intelligence
Lu Pang et al.
Summary: This paper addresses the synchronization problem of impulsive complex networks with mismatched parameters, focusing on fixed-time (FT) and preassigned-time (PT) synchronization. The research first establishes more succinct conditions to achieve FT stability of impulsive systems and provides an improved estimation for the stable time. Building upon the improved FT stability results, FT synchronization criteria for ICNs with mismatched parameters are proposed by designing fixed-time controllers without the linear part. Correspondingly, the PT synchronization problem is also considered by developing innovative control protocols. The presented synchronization criteria are validated through numerical simulation.
Article
Computer Science, Information Systems
Liyan Duan et al.
Summary: This paper investigates the fixed-time synchronization of fuzzy neutral-type bidirectional associative memory memristive-inertial neural networks with proportional delays, utilizing a new lemma and controller design method. The study provides delay-independent sufficient conditions based on fixed-time stability theory and presents an estimate of settling time independent of initial values. Numerical examples demonstrate the effectiveness of the proposed approach.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Yuangui Bao et al.
Summary: This paper investigates the fixed-time quasi-synchronization of coupled memristive neural networks using a dual-channel event-triggered mechanism to reduce signal transmissions and ensure sufficient conditions for leader-following quasi-synchronization. The influence of the event-triggered mechanism on the estimation of settling time is discussed in the context of network attacks and packet scheduling.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Review
Computer Science, Artificial Intelligence
Shuai Yang et al.
Summary: This paper focuses on finite-time cluster synchronization of fractional-order complex variable networks with nonlinear coupling using the non-decomposition method. Two control strategies relevant to complex-valued sign functions are designed, and criteria are deduced to ensure finite-time cluster synchronization. The setting time is effectively estimated based on significant properties of fractional-order Caputo derivation and Mittag-Leffler functions, and theoretical results are verified through numerical examples.
Article
Automation & Control Systems
Jin-Liang Wang et al.
Summary: This article investigates finite-time output synchronization and H-infinity output synchronization problems for coupled neural networks. Criteria and a coupling-weight adjustment scheme are proposed to ensure synchronization, and their effectiveness is verified through numerical examples.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Ilario Antonio Azzollini et al.
Summary: This article demonstrates that synchronization is possible in heterogeneous and uncertain networks of certain classes of linear systems without the need for any distributed observers. A new adaptive synchronization protocol is derived using Lyapunov analysis, with the simplest communication architecture adapting both feedback and coupling gains based on neighbors' states or outputs.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Xianwei Li et al.
Summary: This article systematically investigates consensus of linear multiagent systems on directed graphs through adaptive event-triggered control, proposing innovative protocols with novel composite event-triggering conditions and verifying their effectiveness with numerical examples.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Information Systems
Juan Zhang et al.
Summary: This paper addresses the leader-follower consensus problem in linear multiagent systems (MASs) by designing triggering mechanisms and adaptive protocols to avoid continuous communication and Zeno behavior. The theoretical results are verified through practical simulations and a comparative experiment is conducted to demonstrate the advantages of the proposed methods.
INFORMATION SCIENCES
(2021)
Article
Engineering, Mechanical
Qiushi He et al.
Summary: This paper explores fixed-time (FXT) and preassigned-time (PAT) stochastic synchronization of complex dynamic networks (CDN) based on the quantized event-triggered strategy. It introduces more relaxed criteria for FXT stability and designs effective control schemes to achieve PAT synchronization. The strategies can save resources and the settling time is independent of the parameters and initial values of CDN in stochastic synchronization.
NONLINEAR DYNAMICS
(2021)
Article
Computer Science, Artificial Intelligence
Haibo Bao et al.
Summary: This article focuses on adaptive synchronization for a class of fractional-order coupled neural networks with output coupling. Novel adaptive output controllers with logarithm quantization are designed, and sufficient conditions for synchronization are built based on fractional-order Lyapunov functionals and LMIs. Numerical simulation results substantiate the applicability of the proposed approach.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Automation & Control Systems
Cheng Hu et al.
Summary: This article addresses the issue of FXT and PAT synchronization in discontinuous dynamic networks by improving FXT stability and developing simple control schemes. The improved FXT stability and simple control design effectively solve the synchronization problem in complex networks. The numerical examples confirm the effectiveness of the improved FXT stability and synchronization strategies.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
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Simone Baldi et al.
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
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Review
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SH Strogatz
