4.4 Article

Finite-time dynamic event-triggered consensus of multi-agent systems with disturbances via integral sliding mode

Journal

INTERNATIONAL JOURNAL OF CONTROL
Volume 96, Issue 2, Pages 272-281

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207179.2021.1989045

Keywords

Finite-time consensus; integral sliding mode; dynamic event-triggered mechanism; multi-agent systems

Ask authors/readers for more resources

This paper investigates the finite-time consensus problem of multi-agent systems with disturbances and combines the dynamic event-triggered mechanism with the sliding mode control algorithm to propose a novel finite-time consensus control law. The proposed control protocol achieves finite-time consensus of the multi-agent systems despite system disturbances.
In this paper, the finite-time consensus problem of multi-agent systems with disturbances is investigated. For the first time, the dynamic event-triggered mechanism is combined with the sliding mode control algorithm to develop a novel finite-time consensus control law. The finite-time consensus of multi-agent systems can be achieved with this control protocol in spite of system disturbances. Different from the asymptotic convergence under the dynamic triggering mechanism, by introducing dynamic parameters, the new triggering mechanism can ensure the finite-time consensus of the system states. The new dynamic triggering mechanism can extend the interevent time interval to avoid Zeno behaviour. Finally, the effectiveness of the proposed scheme is validated by simulation examples.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Automation & Control Systems

An improved fixed-time bipartite flocking protocol for nonlinear multi-agent systems

Jiaju Yu, Shuanghe Yu

Summary: This paper proposes an improved fixed-time bipartite flocking protocol, addressing the issues of rigorousness in derivation and parameter selection in the original protocol.

INTERNATIONAL JOURNAL OF CONTROL (2022)

Article Automation & Control Systems

Euler's Discretization Effect on a Sliding-Mode Control System With Supertwisting Algorithm

Yan Yan, Shuanghe Yu, Xinghuo Yu

Summary: In this article, the impact of Euler discretization on a sliding-mode control system with a supertwisting algorithm (STA) was studied. It was shown that the trajectory eventually converges to a bounded region around the origin, with periodic behaviors explored. The effectiveness of the proposed strategies was demonstrated through simulation results.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)

Article Automation & Control Systems

Robust guaranteed cost rate anti-bump switching control for switched systems

Ying Zhao, Mingchuan Pang, Dan Ma, Shuanghe Yu

Summary: This paper presents a multi-objective switching control strategy to capture both the robust guaranteed cost performance and the rate anti-bump switching performance of switched systems. Through co-constructing a switching law and a switching controller, the strategy overcomes the possible conflict in performance demands. By regulating the acceleration of a switched engine model, the efficiency of the approach is verified.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2021)

Article Automation & Control Systems

Adaptive dynamic event-triggered consensus control of multiple autonomous underwater vehicles

Lizuo Wen, Shuanghe Yu, Ying Zhao, Yan Yan

Summary: This paper addresses the dynamic event-triggered consensus problem of multiple autonomous underwater vehicles (AUVs) via the adaptive control method. It proposes an adaptive dynamic event-triggered mechanism (ADEM) to reduce the transmission burden and introduces a simplified first-order model for the AUV system. A novel adaptive dynamic event-triggered consensus control protocol is developed for each AUV. The simulation results demonstrate the advantage of the proposed scheme.

INTERNATIONAL JOURNAL OF CONTROL (2023)

Article Automation & Control Systems

Resilient observer-based sliding mode control of connected vehicles with denial-of-service attacks

Yangguang Xu, Ge Guo, Shuanghe Yu

Summary: This paper investigates the application of an observer-based sliding mode control in connected vehicles to address denial-of-service attacks. A reduced order observer is used to estimate the relative acceleration between neighboring vehicles, and a switching communication topology is introduced to simulate the attacks. The proposed observer-based sliding mode controller achieves desired stability performance and a quadratic cost performance is defined with a provable cost upper bound. Sufficient conditions are provided for connected vehicles to achieve robust tracking performance, with input-to-state string stability guaranteed under zero initial errors.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2022)

Article Automation & Control Systems

Interval observer-based bumpless switching control for switched systems

Ying Zhao, Mingchuan Pang, Peng Wang, Shuanghe Yu

Summary: This article proposes an interval observer-based bumpless switching control scheme for switched systems, which can stabilize the system and reduce the unwanted big steps in the control signal.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2022)

Article Engineering, Electrical & Electronic

Fast Finite-Time Consensus for Multi-agent Systems with Diverse Topologies

Lina Jin, Guoyou Shi, Shuanghe Yu, Xiaohong Wang

Summary: The fast finite-time consensus problem of multi-agent systems under diverse topologies is investigated using a hybrid linear and fractional power protocol. The protocol improves convergence performance when the state is far from the equilibrium and accelerates convergence process when the state is close to the equilibrium. It achieves a faster convergent rate compared to individual asymptotic or finite-time consensus protocols. The leaderless multi-agent systems are studied under undirected topology, and then extended to the leader-following case under directed networks. The protocols are validated through numerical simulations.

CIRCUITS SYSTEMS AND SIGNAL PROCESSING (2023)

Article Computer Science, Artificial Intelligence

Event-Triggered-Based Antidisturbance Switching Control for Switched T-S Fuzzy Systems

Ying Zhao, Yuxuan Gao, Hong Sang, Shuanghe Yu

Summary: This investigation presents an event-triggered-based antidisturbance switching control technique for switched Takagi-Sugeno (T-S) fuzzy systems subject to multiple disturbances and unavailable system state. A composite observer is constructed to capture the unavailable system state and modeled disturbances, which is used as the basis for establishing a switching controller with an event-triggered program. Sufficient conditions are provided for the switched T-S FSs to achieve disturbances suppression and communication transmission resource saving.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2023)

Article Engineering, Marine

Adaptive Sliding Mode Control for Unmanned Surface Vehicles with Predefined-Time Tracking Performances

Tao Jiang, Yan Yan, Shuang-He Yu

Summary: This paper focuses on the trajectory tracking control of unmanned surface vehicles (USVs) considering input quantization, actuator faults, and dead zones. The proposed control method utilizes hysteresis quantizer to reduce transmission rate, prescribed performance control technology to guarantee tracking performance, and predefined-time adaptive sliding mode control (SMC) with auxiliary and barrier functions to handle uncertainties. Numerical simulations demonstrate the effectiveness of the designed controller.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2023)

Article Automation & Control Systems

Dynamic event-triggered-based anti-disturbance control for uncertain LPV systems

Yuxuan Gao, Ying Zhao, Hong Sang, Shuanghe Yu, Yan Yan

Summary: This investigation proposes a dynamic event-triggered-based anti-disturbance control technique for the uncertain linear parameter varying (LPV) systems subject to multiple disturbances. First, an observer is constructed to capture the unavailable modeled disturbances. Then, a feedback controller is proposed. Sufficient conditions are presented for the uncertain LPV systems to achieve the multiple disturbances suppression and communication transmission resources saving. The reasonability of the proposed control scheme is verified by an example of a turbofan.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2023)

Article Automation & Control Systems

Continuous and Periodic Event-Triggered Sliding-Mode Control for Path Following of Underactuated Surface Vehicles

Yan Yan, Shuanghe Yu, Xiaomei Gao, Defeng Wu, Tieshan Li

Summary: This article develops continuous and periodic event-triggered sliding-mode control algorithms for path following of underactuated surface vehicles (USVs). The upper bounds of quasi-sliding modes for path following of USVs are established for the first time. Continuous and periodic event-triggered mechanisms are considered and added into the proposed continuous sliding-mode control scheme. The proposed strategies can make the sliding variables reach the quasi-sliding modes and stay in there, while reducing energy consumption. The effectiveness of the proposed control methods is validated through simulation results.

IEEE TRANSACTIONS ON CYBERNETICS (2023)

Article Engineering, Electrical & Electronic

Adaptive Anti-Disturbance Bumpless Transfer Control for Switched Neural Network Systems With Its Application to Switched Circuit Model

Ying Zhao, Donghui Wu, Changyi Xu, Shuanghe Yu, Tianhe Liu, Dong Yang

Summary: This article focuses on the control issue of the switched neural network systems (SNNSs) encountered by the unmeasurable neural network (NN) modeled disturbance and the measurable unmodeled disturbance, proposing an adaptive anti-disturbance bumpless transfer (AADBT) control strategy.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2023)

Article Computer Science, Information Systems

Sampled-Data Consensus of Networked Euler-Lagrange Systems: A Discrete Small-Gain Approach

Yilin Wang, Shuanghe Yu, Chengpeng Li, Xinjian Xiang, Yantai Huang

Summary: This paper investigates the sampled-data consensus of networked Euler-Lagrange systems, tackling the issue by converting it to the stability problem and proving the consensus through a modified discrete small-gain analysis. Despite potential increases in Lyapunov functions at sampling instants, consensus of the overall system is still guaranteed under the small-gain consensus condition.

IEEE ACCESS (2021)

Article Computer Science, Information Systems

Sampled-Data Consensus for Networked Euler-Lagrange Systems With Differentiable Scaling Functions

Yilin Wang, Shuanghe Yu, Xinjian Xiang, Youbing Zhang

Summary: This paper focuses on the sampled-data consensus of networked Euler-Lagrange systems, addressing the issue of infinities in control input due to differentiation of discontinuous sampled data signals. By using differentiable scaling functions, the infinities are eliminated while ensuring consensus under a compatible criterion.

IEEE ACCESS (2021)

No Data Available