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Your search keyword '"Shu, Yan-Jun"' showing total 14 results
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14 results on '"Shu, Yan-Jun"'

8. Stability analysis for fractional‐order neural networks with time‐varying delay.

Author

Wang, Feng‐Xian, Zhang, Jie, Shu, Yan‐Jun, and Liu, Xin‐Ge

Subjects
TIME-varying networks, LYAPUNOV stability, HOPFIELD networks, DERIVATIVES (Mathematics), LYAPUNOV functions
Abstract

Summary: This paper focuses on the stability analysis for fractional‐order neural networks with time‐varying delay. A novel Lyapunov's asymptotic stability determination theorem is proved, which can be used for fractional‐order systems directly. Different from the classical Lyapunov stability theorem, constraint condition on the derivative of Lyapunov function is revised as an uniformly continuous class‐K function in the fractional‐order case. Based on this novel Lyapunov stability theorem and free weight matrix method, a new sufficient condition on Lyapunov asymptotic stability of fractional‐order Hopfield neural networks is derived by constructing a suitable Lyapunov function. Moreover, two numerical examples are provided to illustrate the effectiveness of these criteria. [ABSTRACT FROM AUTHOR]

Published
2023
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14. Integrated Guidance and Control Backstepping Design for Blended Control Missile Based on NDO.

Author

SHU Yan-jun and TANG Shuo

Subjects
*CONTROL theory (Engineering), *PERTURBATION theory, *LYAPUNOV stability, *AERODYNAMICS, *ASTRONOMICAL perturbation
Abstract

Based on nonlinear disturbance observer(NDO) , a new backstepping controller is proposed for the problem of integrated guidance and control for blended control missiles. The new backstepping controller is designed in three steps for the pitch channel model of integrated guidance and control. The dynamic surface control strategy is employed to eliminate the "computation explosion" by introducing a first-order filter to obtain the differential of virtual control inputs. Nonlinear disturbance observers are adopted to compensate for the uncertainties in the system, and make the system robust to target manenver and aerodynamic parameter perturbation. By using the Lyapunov stability theorem, it is proved that all signals in the closed loop system are ultimately bounded. Finally, Simulation results demonstrate the superiority and effectiveness of the control scheme. [ABSTRACT FROM AUTHOR]

Published
2013
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