Article
Computer Science, Artificial Intelligence
Guowei Dong, Hongru Ren, Deyin Yao, Hongyi Li, Renquan Lu
Summary: The article investigates leader-following consensus fault-tolerant control for multiagent systems with time-varying nonaffine nonlinear faults. The use of dynamic surface control technique, fuzzy logic systems, and backstepping technique helps solve the complexity explosion problem and ensure synchronized output signals of all followers and leader. The proposed distributed consensus fuzzy controller guarantees that all variables of MASs are uniformly ultimately bounded, as demonstrated through simulation results.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Wuxi Shi
Summary: This article proposes an adaptive fuzzy output-feedback control approach for nonaffine multi-input multi-output nonlinear systems, with only one parameter needing to be estimated online. By using a fuzzy system to approximate the unknown nonlinear function and developing an adaptive fuzzy state observer, the method achieves prescribed performance output-feedback control with reduced adaptive laws and semiglobally uniformly ultimately bounded signals. Simulation examples demonstrate the effectiveness of this approach.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Feiyue Wu, Jie Lian, Dong Wang, Guisheng Zhai
Summary: This article proposes a novel control protocol for a class of switched large-scale nonlinear systems, considering prescribed performance constraints and bumpless transfer constraints. The prescribed performance constraints ensure convergence of the output tracking error to a predefined residual set, with specific maximum overshoot and minimum convergence rate. The bumpless transfer constraints restrict control input bump during mode switching. By incorporating modification signals into the prescribed performance functions, control-bump PPFs are provided to reduce performance bounds. Additionally, a control bump model is developed to improve the dynamic response, and switched disturbance observers estimate external disturbances. A prescribed performance bumpless transfer control approach is proposed based on dynamic surface control and multiple Lyapunov stability theory. Finally, a practical example is presented to demonstrate the effectiveness and applicability of the proposed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Faxiang Zhang, Yang-Yang Chen
Summary: This article investigates the finite-time tracking control problem of nonlinear pure-feedback systems with nonaffine input signals. By transforming the nonaffine system into a pure-feedback system with an affine input using a low-pass filter, a novel fractional-power-based output tracking controller is designed. Simulation results demonstrate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Bin Xin, Shuai Cheng, Qing Wang, Jie Chen, Fang Deng
Summary: This article focuses on the fixed-time consensus tracking control of nonlinear multiagent systems (NNMASs) suffering from nonaffine faults. It proposes a control scheme and a compensation mechanism to address the complexity explosion issue and filtering errors. Simulation results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Yang Yang, Xuefeng Si, Dong Yue, Yu-Chu Tian
Summary: This article presents a time-varying formation tracking strategy for a class of uncertain nonaffine nonlinear MASs connected through a directed topology. The strategy transforms the MASs into affine nonlinear systems with uncertainties using ADRC, approximates and compensates uncertainties in real time with ESOs, and simplifies the computation of control variables using TDs. The strategy guarantees bounded signals and minimizes formation errors through appropriate choices of control parameters.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Mechanical
Yu-Qun Han
Summary: This study investigates the issues of input delay and prescribed performance control in large-scale nonlinear systems and proposes an original adaptive decentralized control method by utilizing the MTN method. The theoretical analysis shows that the proposed control scheme can achieve the desired tracking goals while meeting the prescribed performance control requirements.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Quanmin Zhu, Ruobing Li, Jianhua Zhang
Summary: This study proposes a model-free robust input-output decoupling control method using Nonlinear-Dynamic-Coupling Inversion/Inverter (NDCI) in a U-control framework. Two decouplers are derived using an input/output (I/O) coupling matrix function. A general existing theorem is proved for model-free sliding mode control (MFSMC) to lay the foundation for the NDCI. A multi-input and multi-output (MIMO) model-free decoupling U-control (MFDUC) platform is established to integrate the functionalities into a double closed-loop system framework. Transparent and comparative simulated bench tests are presented to validate the functionalities and configurations.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Yang Zhou, Shubo Wang
Summary: This paper investigates asymptotic tracking control of nonlinear robotic systems with prescribed performance. The control strategy is developed based on a modified prescribed performance function (PPF) and fuzzy logic system (FLS) to approximate the unknown dynamics. A robust integral of the sign of the error (RISE) term is incorporated into the control design to achieve asymptotic convergence. Numerical simulation and experimental results validate the effectiveness of the proposed control scheme.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Zhifeng Gao, Shipeng Hu, Moshu Qian, Cuimei Bo
Summary: This study presents a prescribed performance adaptive fault-tolerant tracking control scheme for a class of nonlinear large-scale systems, using radial basis function neural networks to approximate unknown nonlinear functions and introducing a new error transformation to achieve desired asymmetrical prescribed performance. The effectiveness of the proposed control approach is illustrated through two simulation examples, showing that the stability of the closed-loop systems can be guaranteed while achieving the desired prescribed performance of the tracking error.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Shan-Liang Zhu, Yu-Qun Han
Summary: This paper investigates an adaptive decentralized predefined performance control problem for a class of large-scale nonlinear systems with nonsymmetric input saturation by using multi-dimensional taylor network (MTN) approach. The input saturation model is approximated by a smooth function with a bounded approximation error and unknown nonlinear functions are estimated by MTNs. A decentralized tracking control algorithm is established by integrating the idea of prescribed performance control into backstepping recursive technique. By using the designed MTN-based adaptive decentralized controller, all the closed-loop signals are bounded and all the tracking errors satisfy the predefined transient and steady-state performance, respectively. The presented control method is effective and verified through three examples in simulation results.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Na Lin, Ronghu Chi, Biao Huang
Summary: This work proposes a data-driven optimal set-point control (DDOSC) scheme for nonlinear non-affine systems, which bypasses the challenges of modeling complex processes. The proposed method adopts an ideal nonlinear set-point control function in the outer loop, which is transformed into a linear parametric control law using dynamic linearization (DL), and then updated through a parameter updating law. Simulation results demonstrate the effectiveness of the proposed method in improving the performance of the local feedback controller.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Dacai Liu, Zhi Liu, C. L. Philip Chen, Yun Zhang
Summary: This paper proposes a novel adaptive fuzzy prescribed-time containment control method for nonlinear functions, which can achieve the tracking of system states and the containment of errors with prescribed performance within a prescribed time.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Shubo Wang
Summary: This article investigates an adaptive robust control scheme based on barrier Lyapunov function for nonaffine nonlinear systems with unknown dynamics. The scheme converts the nonaffine system into an affine system and reconstructs the immeasurable states using a high-gain observer. It also incorporates a robust integral and a barrier Lyapunov function in the control design to reject unknown dynamics.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Zhanjie Li, Dong Yue, Yajing Ma, Jun Zhao
Summary: This article presents an adaptive scheme using neural networks to address prescribed tracking performance for a class of unknown nonaffine switched nonlinear time-delay systems. The nonaffine terms are separated and approximated by NNs, with dynamic surface control and convex combination method used to construct a controller and switching strategy. An adaptive law is considered to reduce conservatism, resulting in bounded signals and achieved tracking performance in the closed-loop system.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Xiaofeng Zhang, Weijun Hu, Caisheng Wei, Tao Xu
Summary: The paper proposes a novel multivariable robust adaptive sliding mode control structure to address uncertainties and disturbances in the flight control systems of hypersonic vehicles, achieving stable control performance. By utilizing a super-twisting controller and a robust disturbance observer, unknown factors and mismatched uncertainties can be effectively overcome, ensuring the continuity of control signals.
EUROPEAN JOURNAL OF CONTROL
(2021)
Review
Automation & Control Systems
Caisheng Wei, Qifeng Chen, Jun Liu, Zeyang Yin, Jianjun Luo
Summary: This article focuses on the application of prescribed performance control methodology in spacecraft attitude control, analyzing its basic structure and practical application on postcapture spacecraft through the survey of prescribed performance control methods and existing works on attitude control methods. Potential open issues of prescribed performance control methodology are also discussed, considering some important aerospace applications.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2021)
Article
Engineering, Aerospace
Xia Wu, Shibin Luo, Caisheng Wei, Yuxin Liao
Summary: This research addresses the attitude tracking problem for rigid spacecraft under external disturbances, actuator saturation, and faults. By defining a finite-time prescribed performance function and developing a linear extended state observer, it achieves handling of synthetic disturbances and fault-tolerant attitude tracking control, improving control performance in a simpler design approach.
Article
Engineering, Aerospace
Caisheng Wei, Xia Wu, Bing Xiao, Jin Wu, Chengxi Zhang
Summary: This paper investigates an adaptive leader-following formation tracking control approach for multiple spacecraft under a directed communication topology with consideration of external disturbances, formation safety, and limited sensing ranges. The proposed scheme ensures that neighboring spacecraft can always move within the region of maintaining connectivity and avoiding collision by developing a novel logarithmic potential function-based approach. The specified-time stability, connectivity preservation, collision avoidance, and superior disturbance rejection capacity can be simultaneously considered in the proposed scheme, providing guaranteed formation tracking performance. The theoretical analysis for the proposed protocol has been derived using the Lyapunov theory, and extensive simulations are carried out to validate its effectiveness.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Shibin Luo, Xia Wu, Caisheng Wei, Yuanlong Zhang, Zhao Yang
Summary: This paper presents a new solution to address the attitude tracking problem for reusable launch vehicles (RLV) with uncertain parameters, input saturation, and limited transmission resources. By utilizing event-triggered and adaptive control techniques, the proposed approach guarantees stability and achieves tracking performance for the RLV's attitude system, with theoretical analysis confirming its effectiveness.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Computer Science, Information Systems
Chengxi Zhang, Jin Wu, Choon Ki Ahn, Zhongyang Fei, Caisheng Wei
Summary: This article introduces a learning observer-based performance tuning control policy to address the consensus control problem in multiagent systems. The proposed method ensures effectiveness while saving computing resources and guarantees robustness to nonideal perturbations, as well as high accuracy control performance.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Ming-Zhe Dai, Choon Ki Ahn, Chengxi Zhang, Caisheng Wei, Jin Wu
Summary: This study focuses on the synchronization problem of nonlinear multi-agent systems with the quadratic condition using prescribed performance control. A novel performance function and protocol are proposed to achieve state synchronization with arbitrary convergence rate configuration. Simulations on coupled chaotic circuit networks confirm the theoretical results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Jiaolong Wang, Chengxi Zhang, Jinyu Liu, Caisheng Wei, Haitao Liu
Summary: Attitude determination is crucial in aerospace engineering. This study proposes a new invariant Kalman filter (VBAIKF) by employing variational Bayesian fixed-point iterations to jointly estimate the Lie groups rotation matrix, biased mean, degrees of freedom, and scale covariance matrix of the spacecraft. Simulation results demonstrate the superior filtering adaptability and precision of VBAIKF compared to other methods for attitude determination with biased mean and heavy-tailed process noise.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Engineering, Aerospace
Xia Wu, Shibin Luo, Shukai Yang, Caisheng Wei
Summary: This paper addresses the appointed-time formation control problem for multiple spacecraft with limited communication and control resources. An event-triggered formation tracking control protocol is proposed to ensure formation tracking performance, collision avoidance, and communication transmission preservation simultaneously.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Engineering, Aerospace
Qifeng Chen, Yunhe Meng, Yuxin Liao, Caisheng Wei
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Automation & Control Systems
Chengyu Cao, Caisheng Wei, Yuxin Liao, Yechen Zhang, Jun Li
Summary: This paper proposes a trajectory tracking control method for quadrotor UAVs, which guarantees tracking performance by decoupling the control system, designing performance bounds and controllers, and utilizing finite-time tracking differentiators and disturbance observers. Simulation results validate the effectiveness and superiority of the proposed method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Xia Wu, Shibin Luo, Caisheng Wei, Likuan Qiu
Summary: This work investigates the tracking control problem for a group of nonlinear lower-triangular systems with multiple uncertainties. A novel performance constraint is constructed for fixed-time convergence of the output tracking error. A linear extended high-gain observer is employed to estimate system uncertainties, and an output-feedback tracking control approach is formulated using backstepping technique to ensure closed-loop system boundedness. The proposed design has advantages of avoiding term explosion and guaranteeing fixed-time convergence without the use of extra auxiliary techniques.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Automation & Control Systems
Caisheng Wei, Mingzhen Gui, Chengxi Zhang, Yuxin Liao, Ming-Zhe Dai, Biao Luo
Summary: This article investigates a new appointed-time consensus control approach for uncertain networked Euler-Lagrange systems on a directed graph, by exploring the prescribed performance control structure. The key contributions include a two-layer prescribed performance envelope, a simple state-feedback virtual controller, and an appointed-time adaptive controller to maintain communication connectivity and improve consensus accuracy. The proposed method simplifies control laws, approximates constraints from communication ranges with a time-varying contractive performance envelope, and preassigns appointed-time convergence and tracking accuracy.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Aerospace
Caisheng Wei, Yunwen Xiong, Qifeng Chen, Dan Xu
Summary: This paper investigates the attitude tracking control problem of a rigid spacecraft subject to inertial uncertainties, uncertain space perturbations and actuator saturation. A static inertial-matrix free attitude controller is designed to guarantee the appointed-time convergence and tracking accuracy indicators of the spacecraft. Two-layer critic-action NNs are used to adaptively tune and optimize the control gains, improving the robustness and tracking performance of the static attitude controller.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Mathematics
Mingzhen Gui, Caisheng Wei, Yifeng Wei, Kai Xiong, Chengxi Zhang, Mingzhe Dai
Summary: Celestial navigation using time delay measurement is an innovative autonomous navigation method that is computationally time-consuming. The proposed parameter-independent event-triggered implicit UKF improves the performance of celestial navigation by substituting the constant threshold with a dynamic threshold. Simulation results demonstrate that this method reduces running time by minimizing unnecessary measurement updates, while being unaffected by any parameter or window size.
