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Adaptive Prescribed Finite-Time Bipartite Consensus Control for Nonaffine Nonlinear MASs Under Structurally Unbalanced Topology
Xiaomei Wang;Yongduan Song;Xudong Zhao;Huanqing Wang;Ding Wang;Ben Niu
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2025 | Early Access Article |
This article investigates an adaptive bipartite consensus tracking control algorithm for a class of heterogeneous nonaffine nonlinear multiagent systems (MASs) with prescribed finite-time tracking performance under an unbalanced communication topology. In the case of an unbalanced digraph, a novel locally optimal bipartition strategy is proposed to transform the unbalanced communication topology i...Show More
Adaptive Event-Triggered Control for Uncertain Nonlinear Full-State Constrained CPSs Under Deception Attacks
This article presents several adaptive event-triggered control (ETC) strategies for a class of uncertain nonlinear cyber–physical systems (CPSs) under constant or time-varying full-state constraints, as well as deception attacks via the senior network. Initially, the system under investigation is reformulated into a new system that encompasses both the original system state and the compromised sta...Show More
Event-Triggered Adaptive Finite-Time Control for a Robotic Manipulator System With Global Prescribed Performance and Asymptotic Tracking
This article studies the dynamic event-triggered adaptive finite-time tracking control issue for a robotic manipulator (RM) system with disturbances. First, a new global prescribed performance function (PPF) is designed based on a scaling function such that the tracking error evolves within the constrained bounds and the restriction related to the initial conditions is removed. Then, the finite-ti...Show More
Adaptive Fault Tolerant Tracking Control for Output Constrained Nonlinear Systems Using a Novel BLF Method
Xiaomei Wang;Xudong Zhao;Ben Niu;Yueying Wang;Jiaming Zhang;Guangdeng Zong
In this work, via proposing a novel \tan -type asymmetric barrier Lyapunov function (ABLF), we developed a command filtered adaptive fault tolerant control scheme for a class of uncertain nonlinear systems with predefined-time asymmetric and time-varying output constraints. First, such a class of constraints under interest is more practical. Unlike most of the existing constraints that need to...Show More
Adaptive Secure Bipartite Consensus Tracking Control for Nonlinear Multiagent Systems Under FDI Attacks With Predefined Accuracy
Luyao Wen;Ben Niu;Ding Wang;Yuqiang Jiang;Chao Liu;Huanqing Wang
This article mainly considers the adaptive secure bipartite consensus tracking control (BCTC) problem for nonlinear multiagent systems (MASs) under false data injection (FDI) attacks with predefined accuracy. Since FDI attacks produce unknown attack gains, which increases the difficulty of the controller design, an adaptive secure control strategy is given based on the essential property of Nussba...Show More
Attack-Resilient Distributed Fixed-Time Consensus Control for HBESSs and Circuit Implementation
This paper investigates the consensus control problem for heterogeneous battery energy storage systems (HBESSs) with switching topologies. An attack-resilient distributed control scheme is proposed to realize active/reactive power sharing, energy level balancing and frequency/voltage restoration within fixed-time. Rigorous proofs derive the convergence time upper bound for each objective, which is...Show More
H∞ Anti-Disturbance Bumpless Transfer Control for Switched Affine Systems With Its Application to a Circuit Model
This brief concentrates on the problem of H_{\infty } anti-disturbance bumpless transfer control (ADBTC) of switched affine systems (SASs) with multiple types of disturbances. The H_{\infty } ADBTC strategy is put forward to achieve the bumpless transfer (BT) performance and the anti-disturbance performance, simultaneously. First, a more general switched affine disturbance observer is desi...Show More
Adaptive Fuzzy Nonsingular Fixed-Time Bipartite Consensus Tracking Using Adding Power Integration Technique for Stochastic Nonlinear Constrained MASs
Ben Niu;Yan Zhu;Yingying Liu;Zihao Shang;Ding Wang;Huanqing Wang;Wencheng Wang
In this article, the adaptive fuzzy fixed-time bipartite consensus tracking control problem is studied for stochastic nonlinear multi-agent systems with unknown control gains and time-varying output constraints. First, in order to address the difficulties arising from the unknown control gains, the Nussbaum technique is employed. In the meantime, the tan-type nonlinear mapping function is introd...Show More
NSAA: A Network Slice Access Authentication and Service Authorization Scheme for Integrated Satellite-Terrestrial Network
Yurong Luo;Jin Cao;Chao Shang;Ruhui Ma;Ben Niu;Yinghui Zhang;Hui Li
Introducing slicing into integrated satellite-terrestrial networks enables the flexible deployment of network resources and being adaptable for more new applications. However, the heterogeneity of integrated satellite-terrestrial network poses challenges to network resource access control. To ensure users can securely and efficiently access service across multiple management domains, we propose a ...Show More
Composite-Observer-Based Adaptive Consensus Tracking Control for Nonlinear MASs With Unknown Control Directions Against Deception Attacks
Luyao Wen;Ben Niu;Xudong Zhao;Guangdeng Zong;Ding Wang;Wencheng Wang;Yuqiang Jiang
IEEE Transactions on Cybernetics
Cited by: Papers (2)
This article primarily studies the adaptive output-feedback consensus tracking control issue for nonlinear multiagent systems (MASs) with unknown control directions against deception attacks. First, a composite observer combining the state observer and the disturbance observer is developed to concurrently estimate the states of confronting deception attacks and unmeasurable disturbances. Moreover,...Show More
A Noise-Tolerant Proximal Neurodynamic Algorithm for Solving MVIPs in Fixed-Time With Circuit Implementations and Applications
In this paper, we propose a new noise-tolerant neurodynamic algorithm with fixed-time convergence to solve mixed variational inequality problems (MVIPs) and design the circuit framework for its hardware implementation. We prove that the proposed neurodynamic algorithm converges to a unique solution within fixed-time under some conditions and give its convergence time upper bound, which is independ...Show More
Dynamic-Event-Based Reachable Set Synthesis for Nonlinear Delayed Hidden Semi-Markov Jump Systems Under Multiple Cyber-Attacks
In this article, the problem of reachable set (RS) synthesis for a class of nonlinear delayed hidden semi-Markov jump systems with actuator saturation and multiple cyberattacks is addressed. First, a dynamic-event-triggered mechanism (DETM) with a time-varying additional threshold is introduced, which can save communication resources more effectively. However, due to the introduction of DETM, the ...Show More
Adaptive Event-Triggered Consensus Control for Nonlinear Multiagent Systems Against Deception Attacks
Wen-Di Chen;Ben Niu;Xu-Dong Zhao;Bao-Yi Zhang;Huan-Qing Wang
An adaptive event-triggered consensus control strategy for nonlinear multiagent systems without leaders against deception attacks is presented, where a more general deception attacks is considered in this article. The impact of deception attacks on systems cannot be ignored and the most significant difficulty for researchers is the exact state variables are unavailable. Therefore, a new observer t...Show More
A Novel Composite Observer Based Approach for Dynamic Event-Triggered Adaptive Fuzzy Control of Nonlinear Systems Under DoS Attacks
Xinjun Wang;Shenghang Liu;Ben Niu;Xinmin Song;Huanqing Wang;Xudong Zhao
In this article, we propose a dynamic event-triggered adaptive prescribed-time output feedback tracking control strategy for nonlinear systems with unknown external disturbances under denial-of-service (DoS) attacks. The presence of malicious intermittent DoS attacks makes the output signal and states of the system unavailable, which in turn leads to more difficulty in the design of the controller...Show More
A Vision of 3GPP Wireless Sensing for Intelligent Vehicles: Scenarios, Architectures, Security Challenges, Solutions, and Future Trends
Chao Shang;Jin Cao;Yurong Luo;Ben Niu;Lu Gan;Kwok-Yan Lam;Chi-Hung Chi;Hui Li
Sensing technologies tailored for intelligent vehicles have significantly improved user experience and facilitated the progression toward autonomous driving. However, traditional sensing technologies often face stringent environmental requirements and practical challenges. The emergence of Integrated Sensing and Communication (ISAC) has led to proposals advocating the utilization of wireless mobil...Show More
Two-Stage Metaheuristic Framework Based on Irregular Contours Matching for Outsourced Aircraft Maintenance Parking Stand Allocation Problem
With the increase in aircraft maintenance orders and heterogeneity of aircraft irregular shapes, outsourced aircraft maintenance companies urgently need a more efficient and tailored intelligent aircraft parking allocation method. However, existing methods could be improved in lightweight handling of non-overlapping constraints and effective use of problem-specific heuristics. To tackle these chal...Show More
Event-Triggered Adaptive NN Tracking Control for Nonlinear Systems With Asymmetric Time-Varying Output Constraints and Application to an AUVs
This paper studies the event-triggered adaptive neural network (NN) tracking control problem for autonomous underwater vehicle system (AUVs) with deferred asymmetric time-varying output constraints (DATV). First, a novel asymmetric time-varying barrier Lyapunov function (BLF) is constructed to deal with the DATV to simplify the stability analysis and the controller design. Second, an event-trigger...Show More
Resilient Adaptive Stabilization for Nonlinear CPSs Dealing With Deception Attacks
Xinjun Wang;Ye Cao;Ben Niu;Huanqing Wang;Guangdeng Zong;Xudong Zhao
It is still an open problem to output feedback stabilization with input quantizations and deception attacks for nonlinear cyber-physical systems subject to mismatched parametric uncertainties via backstepping design. This is because: first, the system contains mismatched uncertainties; second the output is corrupted by an additional attack signal, making the conventional recursive control design s...Show More
Adaptive Control for Uncertain Nonlinear Systems Against DoS Attacks Using Quantized Output Only and Application to a Single-Link Robot
Shenghang Liu;Xinjun Wang;Wendi Chen;Ben Niu;Xinmin Song;Huanqing Wang;Xudong Zhao
This paper investigates the problem of adaptive output feedback control for uncertain nonlinear systems with input/output quantization subject to intermittent denial-of-service (DoS) attacks. When a DoS attack becomes active, the system is unable to obtain output signal. In order to address this challenge, we compensate the output signal by introducing an attack compensator. At the same time, a no...Show More
Adaptive Prescribed-Time Consensus Tracking Control Scheme of Nonlinear Multi-Agent Systems Under Deception Attacks
Ben Niu;Yahui Gao;Guangju Zhang;Xudong Zhao;Huanqing Wang;Ding Wang;Chao Liu
This article investigates the adaptive prescribed-time consensus tracking control problem for nonlinear multi-agent systems (MASs), where the states of systems are unmeasured and the actuators suffer from the deception attacks. Firstly, a novel coordinate transformation technology is developed by introducing a time-varying constraint function, such that the prescribed-time tracking control problem...Show More
Adaptive Fuzzy Resilient Fixed-Time Bipartite Consensus Tracking Control for Nonlinear MASs Under Sensor Deception Attacks
Ben Niu;Zihao Shang;Guangju Zhang;Wendi Chen;Huanqing Wang;Xudong Zhao;Ding Wang
This paper studies the adaptive fuzzy resilient fixed-time bipartite consensus tracking control problem for a class of nonlinear multi-agent systems (MASs) under sensor deception attacks. Firstly, in order to reduce the impact of unknown sensor deception attacks on the nonlinear MASs, a novel coordinate transformation technique is proposed, which is composed of the states after being attacked. The...Show More
Generative Upper-Level Policy Imitation Learning With Pareto-Improvement for Energy-Efficient Advanced Machining Systems
The potential intelligence behind advanced machining systems (AMSs) offers positive contributions toward process improvement. Imitation learning (IL) offers an appealing approach to accessing this intelligence by observing demonstrations from skilled technologists. However, existing IL algorithms that implement single policy strategies have yet to consider realistic scenarios for complex AMS tasks...Show More
Adaptive Tracking Control of High-Order Nonlinear Systems With Time-Varying Delays Under Asymmetric Output Constraints
This paper addresses the problem of adaptive tracking control of high-order nonlinear systems with time-varying delays under asymmetric output constraints. Unlike the existing researches, the studied system exhibits constantly changing unknown powers, which makes the existing Lyapunov Functionals invalid. Therefore, the Lyapunov Functionals are carefully designed to be suitable for the changing po...Show More
Adaptive T-S Fuzzy Control for an Unknown Structure System With a Self-Adjusting Control Accuracy
Adaptive Takagi-Sugeno (T-S) fuzzy control was a real-time control method without off-line input and output data, but the approximate error between this T-S fuzzy model and the actual system model was rarely considered in the existing methods. This problem can lead to the degradation of controller accuracy in practical engineering. In order to solve this problem, the mathematical expression of the...Show More
Intelligent Consensus Asymptotic Tracking Control for Nonlinear Multiagent Systems Under Denial-of-Service Attacks
Yuqiang Jiang;Ben Niu;Tao Zhao;Xudong Zhao;Xinjun Wang;Huanqing Wang
This work considers the adaptive output feedback consensus asymptotic tracking control problem for full-state-constrained nonlinear multiagent systems (MASs) under the denial-of-service (DoS) attacks and the actuator faults. Since MASs are regardered as a network, where each agent is considered as a network node, the DoS attacks that cut network communication links between agents are studied in th...Show More
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