In this paper, the design of a dynamic event-triggered suboptimal output feedback control (OFC) strategy is carried out for a class of uncertain linear discrete-time systems. With the dynamic ETP and the uncertainty complexities, a new upper bound function is sought for the cost function. To minimize the upper bound function, sufficient conditions are provided for the stability analysis of the OFC problem by introducing an auxiliary gain. To solve the modified output feedback Riccati equation, the value iteration algorithms are designed. Finally, a numerical example on F-16 normal acceleration control problem is simulated to test the proposed dynamic event-triggered suboptimal OFC strategy.

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Dynamic Event-Triggered Suboptimal Output Feedback Control for Discrete-Time Systems

  • Peng Zhang,
  • Mou Chen

摘要

In this paper, the design of a dynamic event-triggered suboptimal output feedback control (OFC) strategy is carried out for a class of uncertain linear discrete-time systems. With the dynamic ETP and the uncertainty complexities, a new upper bound function is sought for the cost function. To minimize the upper bound function, sufficient conditions are provided for the stability analysis of the OFC problem by introducing an auxiliary gain. To solve the modified output feedback Riccati equation, the value iteration algorithms are designed. Finally, a numerical example on F-16 normal acceleration control problem is simulated to test the proposed dynamic event-triggered suboptimal OFC strategy.