Yazar "Mei, Peng" seçeneğine göre listele

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    Öğe
    Robust H∞ Dynamic Output-Feedback Control for CACC With ROSSs Subject to RODAs
    (Ieee-Inst Electrical Electronics Engineers Inc, 2022) Huang, Cong; Coskun, Serdar; Wang, Jun; Mei, Peng; Shi, Quan
    This paper is concerned with the problem of dynamic output feedback control design for the cooperative adaptive cruise control (CACC) system with randomly occurring sensor saturations (ROSSs) subject to randomly occurring deception attacks (RODAs). The dynamics of the vehicle equipped with CACC system behave like a linear model in which the deviation of the position and velocity are chosen as the state variables. Sensor saturations and deception attacks are simultaneously taken into account, and two sets of Bernoulli random variables are utilized to characterize their nature of random occurrence. The main objective of this article is to develop a robust dynamic output feedback controller (RDOFC) such that, for all possible parameter uncertainties, sensor saturations as well as deception attacks, all the states can still be exponentially mean square stable and the H-infinity performance index is guaranteed. In light of the Lyapunov stability theory, a sufficient condition of the desired controller is firstly constructed, then the controller parameters are obtained relying on the solutions to a set of linear matrix inequalities (LMIs). Finally, the three-car platoon system is evaluated to validate the usefulness of the developed algorithm.
  • [ X ]
    Öğe
    State and fault estimation for nonlinear systems subject to censored measurements: A dynamic event-triggered case
    (Wiley, 2022) Huang, Cong; Coskun, Serdar; Zhang, Xin; Mei, Peng
    In this article, the state and fault estimation (SFE) issue is studied for nonlinear systems with parameter uncertainties subject to censored measurement under the dynamic event-triggering protocol. The well-known Tobit measurement model is introduced to characterize the censored measurement and the nonlinearity satisfies specific constraints. For the energy-saving purposes, a dynamic event-triggering protocol is employed to govern the measurement transmissions between the sensor and its corresponding estimator. The primary objective of the addressed problem is to design a dynamic event-triggering estimator to estimate the system state and fault signal simultaneously such that, the upper bound (UB) of the estimation error covariance is guaranteed at each iteration, then such UB is minimized by properly choosing the estimator gain. Moreover, the boundedness analysis of the designed SFE approach is conducted firstly and then a sufficient condition is presented to validate the estimation error is stable in mean-squared sense. Lastly, two experimental results are employed to validate the feasibility of the proposed estimation algorithm.