IEEE Access (Jan 2022)

Design of Robust Dynamic Output Feedback Event-Triggering Controllers for Nonlinear Uncertain Systems

  • Seongcheol Jeong,
  • Jaepil Ban,
  • Harim Lee

DOI
https://doi.org/10.1109/ACCESS.2022.3195991
Journal volume & issue
Vol. 10
pp. 82132 – 82143

Abstract

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This paper presents a design of dynamic output feedback event-triggering control for nonlinear uncertain networked control systems. The plant and actuator asynchronously transmit the measurement and control signals over two different communication channels. We address the norm-bounded time-varying parameter uncertainties in a nonlinear plant. First, considering the exogenous disturbances and noises in the control and measurement signals, sufficient conditions for the $\mathcal {L}_{2}$ stability of the nonlinear networked control systems are given in the presence of the uncertainties. Then, we propose design conditions to choose the dynamic output feedback control and triggering laws in terms of linear matrix inequalities (LMIs). The proposed conditions enable the controller and event-triggering parameters to be jointly optimized to lessen the number of transmissions, guaranteeing a certain level of $\mathcal {L}_{2}$ gain. Numerical examples demonstrate the effectiveness of the proposed method.

Keywords