Zhifeng Gao
Nanjing University of Posts and Telecommunications
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Zhifeng Gao.
Journal of The Franklin Institute-engineering and Applied Mathematics | 2012
Jinxing Lin; Shumin Fei; Zhifeng Gao
Abstract This paper is concerned with the problem of state feedback stabilization of a class of discrete-time switched singular systems with time-varying state delay under asynchronous switching. The asynchronous switching considered here means that the switching instants of the candidate controllers lag behind those of the subsystems. The concept of mismatched control rate is introduced. By using the multiple Lyapunov function approach and the average dwell time technique, a sufficient condition for the existence of a class of stabilizing switching laws is first derived to guarantee the closed-loop system to be regular, causal and exponentially stable in the presence of asynchronous switching. The stabilizing switching laws are characterized by a upper bound on the mismatched control rate and a lower bound on the average dwell time. Then, the corresponding solvability condition for a set of mode-dependent state feedback controllers is established by using the linear matrix inequality (LMI) technique. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed method.
International Journal of Systems Science | 2013
Jinxing Lin; Shumin Fei; Zhifeng Gao
This article is concerned with the problem of state feedback control for a class of discrete-time switched singular systems with time-varying state delays under asynchronous switching. The asynchronous switching considered here means that the switching instants of the candidate controllers lag behind those of the system modes. The concept of mismatched control rate is introduced. By using the multiple Lyapunov function approach and the average dwell time technique, a sufficient condition for the existence a stabilising switching law is first derived to guarantee the regularity, causality and exponential stability of the closed-loop system in the presence of asynchronous switching. The stabilising switching law is characterised by a upper bound on the mismatched control rate and a lower bound on the average dwell time. Then, the corresponding solvability condition for a set of mode-dependent state feedback controllers is established by using the linear matrix inequality (LMI) technique. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.
Journal of The Franklin Institute-engineering and Applied Mathematics | 2017
Zhifeng Gao; Bing Han; Guo-Ping Jiang; Jinxing Lin; Dezhi Xu
Abstract In this paper, the problem of active fault tolerant control (FTC) is studied for a class of flexible spacecraft attitude systems with Lipschitz nonlinearity and sensor fault. Firstly, a functional observer is designed for the attitude systems of flexible spacecraft in order to detect the time of unknown sensor fault occurred. Next, the sensor fault estimation is performed by filtering the output estimation error, as usually done in the residual generation framework. Then, a dynamic output feedback-based FTC approach is proposed to the flexible spacecraft in sensor faulty case, it not only attenuates flexible appendage disturbance with a given level γ, but also tolerates the effect of unknown sensor fault. Finally, the effectiveness of the proposed FTC method is demonstrated in the attitude systems of flexible spacecraft subject to a time-varying sensor fault.
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering | 2018
Zhifeng Gao; Peng Cheng; Moshu Qian; Guo-Ping Jiang; Jinxing Lin
In this study, the active fault-tolerant control problem is investigated for a rigid spacecraft in the presence of inertia uncertainty, external disturbance, multiple actuator faults and actuator saturation. The attitude system model of spacecraft and actuator fault model are first given. A sliding mode–based fault detection observer and a radial basis function neural networks–based fault estimation observer are designed to detect the time of actuator fault occurred and estimate the amplitude of unknown fault, respectively. On that basis, an active fault-tolerant control scheme is proposed to accommodate the effects of multiple actuator faults, and it guarantees that the state trajectory of attitude systems without actuator saturation converges to a neighborhood of the origin in finite time. Another active fault-tolerant control scheme is further proposed in actuator saturation constraint case; it ensures that all the closed-loop signals are finite time convergence. Finally, simulation results are given to illustrate the effectiveness of the proposed fault-tolerant control approach.
Chinese Intelligent Automation Conference | 2017
Zhifeng Gao; Bing Han; Moshu Qian; Jing Zhao
In this paper, an active fault tolerant attitude control system is provided for a flexible spacecraft to accommodate the unknown sensor faults. Firstly, a model-based fault estimation technique developed into the process behavior by using a virtual filter and an adaptive observer, and then estimating the amplitude magnitude for the faulty sensor in the presence of system disturbance and parameter uncertainty. Next, reconfigurable attitude controller is developed by combining both integral sliding mode control and linear matrix inequality technique. Meanwhile, the stability of the closed loop attitude systems under the designed active fault tolerant control (FTC) scheme is analyzed by utilizing Lyapunov approach. Finally, the effectiveness of the proposed fault tolerant scheme has justified by simulation result on a flexible spacecraft attitude control systems with a time varying sensor fault.
Iet Control Theory and Applications | 2013
Jinxing Lin; Yang Shi; Shumin Fei; Zhifeng Gao
International Journal of Adaptive Control and Signal Processing | 2013
Jinxing Lin; Shumin Fei; Zhifeng Gao; Jie Ding
Iet Control Theory and Applications | 2015
Jinxing Lin; Yang Shi; Zhifeng Gao; Jie Ding
chinese control and decision conference | 2018
Xiaobo Zhang; Zhifeng Gao; Moshu Qian; Zepeng Zhou
International Journal of Control Automation and Systems | 2018
Zhifeng Gao; Zepeng Zhou; Guo-Ping Jiang; Moshu Qian; Jinxing Lin