Time filter

Source Type

Hua M.,Hohai University | Hua M.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Tan H.,Hohai University | Fei J.,Hohai University | Ni J.,Hohai University
International Journal of Machine Learning and Cybernetics | Year: 2017

This paper is concerned with the problem of robust stability and H∞ filter design for neutral stochastic neural networks with parameter uncertainties and time-varying delay. The parameter uncertainties are assumed to be norm-bounded. With the Lyapunov-krasovskii theory, several delay-dependent stability conditions are obtained in terms of liner matrix inequalities(LMIs). Based on the obtained stability criteria, some sufficient conditions for the existence of the robust H∞ filter are derived. The obtained results ensure the robust stability and a prescribed H∞ performance level of the filtering error systems for all admissible uncertainties. Finally, two numerical examples are given. One is provided to demonstrate the stability analysis results in this paper are less conservative than some existing results. The other is provided to illustrate the effectiveness of the filter design method. © 2015, Springer-Verlag Berlin Heidelberg.


Xiao J.-K.,Hohai University | Xiao J.-K.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Zhu W.-J.,Hohai University
International Conference on Communication Technology Proceedings, ICCT | Year: 2010

Triangular patch resonators have important applications in microwave filters and antennas design. In this report, new isosceles right-angled triangular patch resonator bandpass filters with two-path coupling are developed to perform dual-passband, low passband insertion loss and miniaturization, and performances of the proposed filters are compared. New dual-band bandpass filter using single right-angled triangular patch resonator is also presented, and the experiment demonstrates the design. The new filters are some applications of right-angled triangular patch resonator, and are expected to find applications in future wireless communication systems. © 2010 IEEE.


Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Fei J.,Hohai University | Ding H.,Hohai University
International Journal of Advanced Robotic Systems | Year: 2010

This paper presents an adaptive control approach for Micro-Electro- Mechanical Systems (MEMS) z-axis gyroscope sensor. The dynamical model of MEMS gyroscope sensor is derived and adaptive state tracking control for MEMS gyroscope is developed. The proposed adaptive control approaches can estimate the angular velocity and the damping and stiffness coefficients including the coupling terms due to the fabrication imperfection. The stability of the closed-loop systems is established with the proposed adaptive control strategy. Numerical simulation is investigated to verify the effectiveness of the proposed control scheme.


Cheng Y.,Hohai University | Hua M.,Hohai University | Hua M.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Zhang L.,Hohai University
Chinese Control Conference, CCC | Year: 2016

The paper has studied the problem of H∞ filtering for Markovian jump stochastic systems with uncertain transition probabilities. The systems under consideration not only involve uncertainties both in the system matrices and in the mode transition rate matrix, but also contain time-varying delays. By free-weighting matrix technique, a sufficient condition for the existence of an H∞ filter is developed. The effectiveness of the proposed method has been demonstrated by a numerical example. © 2016 TCCT.


Hua M.,Hohai University | Hua M.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Tan H.,Hohai University | Chen J.,Hohai University
Neural Computing and Applications | Year: 2014

This paper presents the delay-dependent H and generalized H 2 filters design for stochastic neural networks with time-varying delay and noise disturbance. The stochastic neural networks under consideration are subject to time-varying delay in both the state and measurement equations. The aim is to design a stable full-order linear filter assuring asymptotical mean-square stability and a prescribed H or generalized H 2 performance indexes for the filtering error systems. Delay-dependent sufficient conditions for the existence of H and generalized H 2 filters are both proposed in terms of linear matrix inequalities. Finally, numerical example demonstrates that the proposed approaches are effective. © 2013 Springer-Verlag London.


Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Yang Y.,Hohai University
Mathematical Problems in Engineering | Year: 2011

Fabrication defects and perturbations affect the behavior of a vibratory MEMS gyroscope sensor, which makes it difficult to measure the rotation angular rate. This paper presents a novel adaptive approach that can identify, in an online fashion, angular rate and other system parameters. The proposed approach develops an online identifier scheme, by rewriting the dynamic model of MEMS gyroscope sensor, that can update the estimator of angular rate adaptively and converge to its true value asymptotically. The feasibility of the proposed approach is analyzed and proved by Lyapunov's direct method. Simulation results show the validity and effectiveness of the online identifier. © 2011 Juntao Fei and Yuzheng Yang.


Lu X.,Hohai University | Fei J.,Hohai University | Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology
Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016 | Year: 2016

In this paper, a fuzzy adaptive iterative learning control (FAILC) strategy is proposed to resolve the trajectory tracking problem of wheeled mobile robots (WMR) based on the dynamic model of WMR and its actuator. In the previous study of WMR trajectory tracking, ILC was usually applied to the WMR kinematical model with the assumption that desired velocity can be tracked immediately. However, this assumption can not be realized in the real world at all. The kinematics model and dynamic model of WMR are deduced in this paper, and a novel iterative learning controller which contains a fuzzy iterative learning component and a feedback component is presented. The controller can work on MIMO systems with variable initial errors. In order to analysis the convergence of the algorithm, the method of Lyapunov-like approach which shows the adjustable parameters of fuzzy system are bounded and tracking errors can converge to zero after initial time as iterative times goes to infinity. Simulation results show the effectiveness of FAILC in the WMR trajectory tracking problem. © 2016 IEEE.


Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Fei J.,Hohai University
IET Control Theory and Applications | Year: 2010

This study presents an adaptive sliding mode controller for a micro-electro-mechanical systems (MEMS) z-axis vibratory gyroscope. The adaptive model reference state tracking control with sliding mode controller is developed to estimate the angular velocity, the damping and stiffness coefficients of MEMS vibratory gyroscope in real time. An adaptive controller that can estimate the unknown upper bound of the parameter uncertainties and external disturbance is derived and the stability of the closed-loop system is established. The adaptive sliding mode controller is designed so that the trajectory of the driving axes can track the state of the reference vibration model. The effectiveness of the proposed scheme is demonstrated through numerical simulations on an MEMS vibratory gyroscope. © 2010 The Institution of Engineering and Technology.


Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Fei J.,Hohai University | Xin M.,Hohai University
International Journal of Innovative Computing, Information and Control | Year: 2012

For the tracking control problem of vehicle suspension, a robust design method of adaptive sliding mode control is derived in this paper. The influence of parameter uncertainties and external disturbances on the system performance can be reduced and system robustness can be improved. The adaptive sliding mode controller is designed so that the practical system can track the state of the reference model. The asymptotically stability of the adaptive sliding mode control system is proved based on the Lyapunov stability theory. Numerical simulations demonstrate the effectiveness of the proposed adaptive sliding mode control for semi-active vehicle suspension. © 2012 ICIC International.


Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Fei J.,Hohai University | Fang Y.,Hohai University | Yan C.,Hohai University
Mathematical Problems in Engineering | Year: 2010

Considerable attention has been devoted to active vibration control using intelligent materials as PZT actuators. This paper presents results on active control schemes for vibration suppression of flexible steel cantilever beam with bonded piezoelectric actuators. The PZT patches are surface bonded near the fixed end of flexible steel cantilever beam. The dynamic model of the flexible steel cantilever beam is derived. Active vibration control methods: optimal PID control, strain rate feedback control (SRF), and positive position feedback control (PPF) are investigated and implemented using xPC Target real-time system. Experimental results demonstrate that the SRF and PPF controls have better performance in suppressing the vibration of cantilever steel beam than the optimal PID control. © 2010 Juntao Fei et al.

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