Article
Automation & Control Systems
Xiangming Zhang, Fanglai Zhu
Summary: This article investigates the distributed cooperative fault detection and fault isolation problems for multi-agent systems. By combining Luenberger-like observers and zonotope theory, a residual-based distributed cooperative fault detection and fault isolation strategy is proposed. Simulation results demonstrate the effectiveness and advantages of the proposed method.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Information Systems
Kai Zhang, Bin Zhou, Guang-Bin Cai
Summary: This paper studies the consensus problem for input-constrained linear periodic multi-agent systems under undirected graphs. Two types of system dynamics are considered, with the first type having closed unit circle open-loop characteristic multipliers and the second type being neutrally stable. A novel linear protocol is proposed for the semi-global consensus problem with the first type of dynamics, while another simple linear protocol is proposed for the global consensus problem with the second type of dynamics. The proposed protocols have the advantage of considering time-varying system dynamics and not requiring a priori global information of the network topology, enabling consensus on arbitrary undirected communication graphs.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Pengyuan Li, Faryar Jabbari, Xi-Ming Sun
Summary: This paper investigates the containment control problem for multi-agent systems with multiple leaders and non-zero control inputs, solved by applying an output feedback controller and anti-windup compensation, with simulations demonstrating the effectiveness of the proposed method.
Article
Automation & Control Systems
Weijie Weng, Fanglai Zhu
Summary: This article investigates observer-based consensus issues for a class of Lipschitz nonlinear multi-agent systems with unknown input. By designing an unknown input observer and a distributed control protocol scheme, the asymptotic convergent consensus of the multi-agent systems is achieved.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
He Wang, Wei Ren, Wenwu Yu, Dong Zhang
Summary: This paper considers the distributed consensus control problem for disturbed second order multi-agent systems with directed networks, investigating leaderless and tracking cases. Different methods are proposed to solve the leaderless and tracking problems, with simulation examples provided to verify the theoretical results.
Article
Automation & Control Systems
Yuqi Bai, Jinzhi Wang
Summary: In this study, a fault detection and isolation strategy for multi-agent systems with existing fault signals is proposed based on the design concept of unknown input observer. The strategy utilizes only relative information to construct the observer and employs a threshold logic and algorithm to detect and isolate faults in agents. Additionally, a distributed implementation is provided to reduce observer dimensions and simplify the design process, with practical simulations demonstrating the validity of the theoretical results.
Article
Chemistry, Analytical
Fanglai Zhu, Chengmin Tan
Summary: This paper investigates the observer-based consensus control problem for linear parameter-varying multi-agent systems with unknown inputs. An interval observer is designed to generate state interval estimation for each agent. An algebraic relationship is established between the system state and unknown input. An unknown input observer capable of generating estimates of unknown input and the system state has been developed. Finally, a distributed control protocol scheme based on the unknown input observer is proposed to achieve consensus of the multi-agent systems. An example of numerical simulation is provided to verify the validity of the proposed method.
Article
Automation & Control Systems
Ao Dun, Qianjiao Xu, Fei Lei
Summary: This paper investigates for the first time the finite frequency domain H-infinity consensus control problem of neutral multi-agent systems with input delay. It presents a less conservative controller design method for both state feedback and dynamic output feedback controllers, and demonstrates the feasibility and applicability of the proposed methods.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Zhitao Li, Majid Mazouchi, Hamidreza Modares, Ximing Wang, Jinsheng Sun
Summary: This article addresses the finite-time adaptive output synchronization of heterogeneous leader-follower multi-agent systems with uncertain dynamics. It proposes novel adaptive distributed finite-time observers and controllers to estimate the leader's state and dynamics, cope with uncertain follower dynamics, and ensure finite-time output synchronization. A simulation example is provided to demonstrate the efficiency of the proposed approach.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Computer Science, Information Systems
Yongzheng Cong, Haibo Du, Bibo Liu, Peng Zhang, Xueling Li
Summary: This paper addresses the finite-time consensus control problem for second-order multi-agent systems with leaderless and leader-follower structure. A finite-time consensus algorithm for multi-agent systems is proposed by using the saturated controller design method and homogenous system theory. Compared to existing results, the proposed algorithm achieves finite-time convergence of the closed-loop system while satisfying velocity constraints and input saturations. Simulation examples demonstrate the effectiveness of the algorithm.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Wenbo Zhu, Qingling Wang
Summary: In this paper, the authors focus on the distributed finite-time optimization of multi-agent systems with unknown high-frequency gain signs under switching digraphs. They propose a distributed finite-time gradient estimator-based optimal signal generator using finite-time stability theory and graph theory. To deal with the unknown high-frequency gain signs, they introduce new distributed asymptotic optimization algorithms via the Nussbaum-type function. Additionally, they present novel distributed finite-time optimization algorithms to speed up convergence. Both proposed algorithms achieve optimal consensus of multi-agent systems under switching digraphs with unknown high-frequency gain signs. The effectiveness of the algorithms is demonstrated through simulation examples.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Qing Wang, Xiwang Dong, Jianglong Yu, Jinhu Lu, Zhang Ren
Summary: Investigated the predefined finite-time output containment control problem for nonlinear multi-agent systems with multiple dynamical leaders under directed topology, where a predefined distributed containment control protocol was developed to achieve finite-time convergence of followers' outputs, taking into account leaders' unknown inputs.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Automation & Control Systems
Jinbao Song, Xuxi Zhang
Summary: This paper addresses the leader-following consensus problem of Lur'e multi-agent systems under undirected topologies. Two observer-based controllers, including a discontinuous controller and a continuous controller, are proposed to achieve distributed leader-following consensus without dependence on global communication topology structure and leader's input bounds. The theoretical results are validated through simulation examples on Chua's circuit system.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Fanglai Zhu, Yuhang Fu, Thach Ngoc Dinh
Summary: In this paper, a novelty unknown input observer (UIO) is proposed for a linear system with unknown input, which can achieve asymptotic system state estimation and unknown input reconstruction simultaneously via interval observer. The interval estimation of the output vector is obtained by designing an interval observer under the assumption that the boundary of the unknown input is known. Then, an algebraic relationship between the unknown input and the system state is established based on the upper and lower boundary estimations of the output vector. A Luenberger-like state observer together with an algebraic unknown input reconstruction is designed to form a UIO based on the algebraic relationship. Furthermore, a UIO is applied directly on a time-delay system with unknown input, demonstrating the advantages of the proposed UIO. Simulation examples and comparisons to existing results are provided to illustrate the effectiveness and advantages of the proposed method.
Article
Automation & Control Systems
Aadil Sarwar Khan, Abdul Qayyum Khan, Naeem Iqbal, Ghulam Mustafa, Muhammad Asim Abbasi, Atif Mahmood
Summary: This paper presents a novel directional observer-based fault detection and isolation scheme for second-order networked control systems. The scheme utilizes a directional unknown input observer (UIO) to solve the problem of distributed fault detection and isolation (FDI). Two design schemes with global and partial/local network models are proposed. Thresholds for the schemes in a noisy environment are computed. The significant feature of the proposed schemes is achieving fault detection and isolation in a single step using a single observer. The schemes are validated with power system models and compared with existing FDI schemes, demonstrating their effectiveness in terms of computational requirements.
