Article
Automation & Control Systems
An-Min Zou, Yangyang Liu, Zeng-Guang Hou, Zhipei Hu
Summary: This article discusses the output-feedback consensus control problem of multiagent systems under a directed topology and bounded external disturbances. A distributed practical predefined-time observer is proposed to estimate the reference trajectory for the entire team and a practical preset-time extended-state observer is introduced to estimate bounded disturbances and unmeasurable system states. Based on these observers, a novel continuous and nonsingular predefined-time consensus control law is designed, which can achieve consensus tracking with bounded errors within a predetermined time.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Wanli Guo, Lili Shi, Wen Sun, Hadi Jahanshahi
Summary: This paper focuses on the predefined-time average consensus of heterogeneous nonlinear leaderless multi-agent systems (MASs). The predefined-time stability of a class of fixed-time stable systems is studied, improving the overestimation of settling time. The results are more suitable for controlling nonlinear MASs. Based on the stability analysis, a simple control algorithm is designed for achieving the predefined-time average consensus. The theoretical analysis is supported by numerical simulation.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Automation & Control Systems
Jiale Yi, Jing Li, Zhaohui Zhang
Summary: This paper addresses the output consensus problem for uncertain nonstrict-feedback leader-follower multi-agent systems with predefined performance. A distributed event-triggered control strategy and a coordinate transformation technique are proposed to achieve the desired output consensus.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Information Systems
Guoyan Yu, Zhuocheng Li, Haitao Liu, Qiheng Zhu
Summary: This study proposes a predetermined time nonsingular fast terminal sliding mode control (PTNFTSMC) method to solve the problem of long convergence time and instability in the orbit control of remotely operated vehicles (ROVs). The PTNFTSMC achieves stability and convergence accuracy within a specified time, and it is proven to be effective and superior compared to existing control schemes.
Article
Automation & Control Systems
Junkang Ni, Shunxin Qian, Jinde Cao, Weilin Li, Feisheng Yang
Summary: This article proposes a predefined-time leader-following consensus control scheme for a second-order multiagent system whose communication network is subject to channel fading. New distributed observers are designed to estimate the leader's states, and a novel adaptive dynamic surface predefined-time control is developed to achieve predefined-time consensus tracking.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Alessandro Pilloni, Mauro Franceschelli, Alessandro Pisano, Elio Usai
Summary: This article proposes a design approach based on integral sliding mode control to enhance the robustness of multiagent systems in executing distributed optimization and consensus protocols. The approach aims to reject disturbances and uncertainties while maintaining the same emerging behavior as a reference multiagent system designed for a specific coordination objective.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Engineering, Marine
Sami Souissi, Mohamed Boukattaya
Summary: This paper addresses the problem of trajectory tracking control of an Autonomous Surface Vehicle (ASV) with the presence of uncertainties and disturbances. It proposes a Time-Varying Nonsingular Terminal Sliding Mode (TV-NTSM) manifold and a controller to ensure the convergence of tracking errors and the global robustness of the system. The paper also introduces a method for parameter system selection and an adaptive tuning law for estimating unknown upper bounds of uncertainty.
Article
Computer Science, Artificial Intelligence
Lin Xiao, Lei Jia, Jianhua Dai, Yingkun Cao, Yiwei Li, Quanxin Zhu, Jichun Li, Min Liu
Summary: This article proposes a novel distributed gradient neural network with predefined-time convergence to solve consensus problems in multiagent systems. By using loose conditions and novel activation functions, the model achieves fast convergence in solving various consensus problems of MASs.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Mingze Wang, Changzhu Wei, Jialun Pu, Naigang Cui
Summary: This paper presents a novel predefined-time nonsingular tracking control system for a vertical-takeoff horizontal-landing (VTHL) reusable launch vehicle (RLV) in the face of parameter uncertainties, model couplings and external disturbances. The proposed control system utilizes a predefined-time prescribed performance function (PTPPF), a predefined-time terminal sliding mode surface (SMS), and a nonsingular sliding mode controller to ensure the desired tracking performance of the RLV. A numerical simulation is provided to validate the effectiveness of the proposed controller.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Manufacturing
Yu-Chen Qian, Zhong-Hua Miao, Jin Zhou, Xiao-Jin Zhu
Summary: This study resolves the design problems of agricultural multi-robots' controlled algorithm by discussing an adaptive leader-following consensus protocol for nonlinear multiagent systems. The proposed methodology is less conservative and applicable to a wider variety of nonlinear multi-agent systems, making it suitable for more agricultural fields.
ADVANCES IN MANUFACTURING
(2023)
Article
Automation & Control Systems
Bilal J. Karaki, Magdi S. Mahmoud
Summary: This paper focuses on leader-following and leaderless consensus problems in discrete-time multiagent systems. It proposes a distributed observer-based consensus protocol and a modified distributed event-triggered consensus protocol to reduce communication congestion. By utilizing graph and control theory approach, sufficient conditions are obtained, and detailed analysis of leaderless and leader-following consensus is presented for both observer-based and full-information protocols. Two simulation examples are provided to demonstrate the effectiveness of the established theories.
IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
(2021)
Article
Automation & Control Systems
Yizhuo Sun, Yabin Gao, Yue Zhao, Zhuang Liu, Jiahui Wang, Jiyuan Kuang, Fei Yan, Jianxing Liu
Summary: This article investigates the predefined time trajectory tracking control of uncertain nonlinear robotic systems. A radial basis function neural network (RBFNN) is used to estimate uncertainties in the robotic system dynamics. To avoid the singularity of terminal sliding-mode control (TSMC), a modified sliding variable is adopted. In order to realize that the tracking errors can converge to a small neighborhood of the origin in predefined time, within which the maximum convergence time can be adjusted by explicit parameters in advance, a nonsingular TSMC based on the RBFNN is proposed. Experiments on a ROKAE platform demonstrate the effectiveness and advantage of the proposed control method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Aerospace
Dong Ye, An-Min Zou, Zhaowei Sun
Summary: In this article, a predefined-time predefined-bounded attitude tracking control scheme is proposed for rigid spacecraft with bounded external disturbances. The proposed control law can drive the attitude tracking errors to a predefined-bounded region within a predefined time, independently of initial conditions. The continuous nature of the controller ensures stability.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Automation & Control Systems
Tianqi Liu, Mengquan Liu, Guanghui Wen, Yuezu Lv, Junjie Fu
Summary: This article introduces a method to design distributed adaptive attack-free protocols based on relative output information among neighboring agents. The use of unknown input observers to estimate consensus error and the reduction of observer order through linear transformation enable the empirical time estimation. Theoretical analysis and simulation results demonstrate the effectiveness of the proposed protocols.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Mathematics
Yongjie Yang, Xudong Liu
Summary: This paper proposes a nonsingular terminal sliding mode observer and adaptive observer to improve the sensorless control performance of electrical drive systems and solve the problems of chattering and phase delay. The effectiveness and feasibility of the proposed methods are demonstrated through experiments.
Article
Automation & Control Systems
Junkang Ni, Ling Liu, Chongxin Liu, Jian Liu
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2017)
Article
Engineering, Multidisciplinary
Jiangbin Wang, Ling Liu, Chongxin Liu, Xiaoteng Li
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Yaoyu Wang, Ling Liu, Xinshan Cai, Chongxin Liu, Yan Wang, Guangchao Zheng
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Article
Engineering, Electrical & Electronic
Qilian Lin, Ling Liu, Deliang Liang
Summary: This paper proposes a hybrid active flux observer to suppress the position estimation errors in high-frequency signal injection methods, in combination with model-based methods. It also introduces a stator resistance identification algorithm and provides a tuning guideline for the entire algorithm. Effective experiments and simulations validate the feasibility of the proposed scheme.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Qilian Lin, Ling Liu, Deliang Liang, Dongsong Jin, Shaofeng Jia, Han Song
Summary: This paper proposes a dual-level adaptive law for a third order super-twisting extended state observer (STESO) in a hybrid sensorless IPMSM drive. The proposed algorithm extends the operating range and suppresses sliding-mode ripples by using equivalent control and Lyapunov stability analysis. Additionally, improvements have been made in torque ripple suppression and cross-coupling effect compensation at low speeds, which have been theoretically and practically validated.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
