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        Input-to-State-Stability modular Command Filtered Back-stepping Attitude Control of a Generic Reentry Vehicle

        Yuehui Ji,Qun Zong,Bailing Tian,Helong Liu 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.4

        A command filtered back-stepping attitude controller is exploited and analyzed to design a dynamic state-feedback controller for a generic Reentry Vehicle. A novel back-stepping control that obviates the need to compute analytic derivatives in the traditional back-stepping design is presented by combining command filtered back-stepping method, sliding-mode-based integral filters and input-to-state stability (ISS) analysis. The ISS-modular approach provides a simple and effective way for controlling non-linear Reentry Vehicle satisfying the strict-feedback form, simultaneously solving the problem of “explosion of complexity” in traditional back-stepping approach. The stability analysis of the closed-loop system and the convergence of the aerodynamic angles are verified based on the small-gain theorem. Numerical simulations are included to demonstrate the effectiveness of the proposed control scheme.

      • KCI등재

        Distributed Containment Control for Multi-agent Systems in Purefeedback Form under Switching Topologies

        Yuehui Ji,Hailaing Zhou,Qiang Gao 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5

        The distributed containment control problem is investigated for nonlinear multi-agent systems in purefeedback form subjected to switching directed communication topologies. Based on command filtered backstepping technology and singular-perturbation theorem, a containment controller is addressed to guarantee that the followers’ outputs can converge to the convex hull spanned by multi-dynamic leaders, and the containment tracking errors between leaders and followers is semi-global practical exponential stable in the closed-loop system. A nonlinear anti-tangent filter is adopted to estimate the virtual control, avoiding the analytical deduction inherent in traditional back-stepping method and overcoming the ?circular construction problem? in non-affine pure-feedback systems. Differing from the existing back-stepping method, the proposed control scheme only requires leaders’ output signals and their first derivative signals, does not need the prior knowledge of their nth order derivative signals. The stability analysis is completed via the singular perturbation theory, revealing some novel features of the underlying back-stepping method. Finally, two simulation examples are provided to illustrate the effectiveness of the control scheme.

      • KCI등재

        Decentralized Adaptive Event-triggered Control for Nonlinear Interconnected Systems in Strict-feedback Form

        Yuehui Ji,Hailiang Zhou,Qun Zong 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.4

        The decentralized event triggered control problem is investigated for nonlinear interconnected systems in strict-feedback form subjected to parametric uncertainty. For each subsystem in the interconnected systems, the decentralized adaptive backstepping controller is designed to guarantee that the tracking error is semi-globally ultimately bounded. The control update and parameter estimate action are aperiodical executed only when the desired control specifications cannot be ensured, drastically reducing the computational burden and the transmission cost. It can be proved that zeno phenomenon is avoided as a positive lower bound on the minimal inter-sample time exists. The impulsive dynamical systems tools and Lyapunov analysis are introduced to prove the stability property for closed-loop system. Finally, a numerical simulation example is included to validate the effectiveness of the control scheme.

      • KCI등재

        Model-dependent Scheduling and H-infinity Control Co-design for Networked Control Systems

        Shunli Zhao,Yuehui Ji 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.2

        In this paper, a novel model-dependent scheduling scheme is proposed for the networked control systems with time-delay, disturbance, and medium access constraints. The scheduler calculates the error between the ideal dynamic and the real system, and selects the states that make the stability of the system better to access the network. In addition, two kinds of representative time-delays in the networked control systems, constant time-delay and random time-delay, are considered. A robust H-infinity and switched-system-based co-design strategy is introduced to deal with the disturbance in the system, and the system uncertainty introduced by the random time-delay as well. Finally, illustrative examples are given to demonstrate the effectivity of the proposed scheduling method and the co-design scheme.

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