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<p>This study proposes a low-complexity prescribed-time control (PTC) method integrated with a switching dynamic event-triggered control (DETC) scheme. The proposed framework is designed for a class of switched strict-feedback nonlinear systems with unmeasured states. Motivated by PTC theory, an adaptive output-feedback control strategy is first developed to reduce computational complexity, followed by the design of an adaptive neural state observer to estimate the unavailable states, while system constraints are rigorously handled within the PTC framework. As a result, the proposed scheme effectively eliminates the “explosion of complexity” associated with traditional backstepping, avoids the use of dynamic surfaces and command filters, and ensures user-prescribed-time stability independent of initial conditions. To further enhance efficiency, a novel switching DETC mechanism is developed to reduce communication burdens. By introducing a piecewise-constant term into an auxiliary dynamic variable, this mechanism effectively addresses the asynchronous subsystem switching issue induced by event-triggered control (ETC). Compared with existing methods, the proposed scheme removes the restriction on the maximum asynchronous time and provides a proof for excluding Zeno behavior. The effectiveness of the overall control framework is finally validated through two simulation experiments.</p>

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Dynamic Event-Triggered Adaptive Output-Feedback Control for Uncertain Switched Nonlinear Systems via a Prescribed-Time Low-Complexity Approach

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • Haibo Xu,
  • Xinyu Ouyang,
  • Nan-Nan Zhao,
  • Feng Zhang

摘要

This study proposes a low-complexity prescribed-time control (PTC) method integrated with a switching dynamic event-triggered control (DETC) scheme. The proposed framework is designed for a class of switched strict-feedback nonlinear systems with unmeasured states. Motivated by PTC theory, an adaptive output-feedback control strategy is first developed to reduce computational complexity, followed by the design of an adaptive neural state observer to estimate the unavailable states, while system constraints are rigorously handled within the PTC framework. As a result, the proposed scheme effectively eliminates the “explosion of complexity” associated with traditional backstepping, avoids the use of dynamic surfaces and command filters, and ensures user-prescribed-time stability independent of initial conditions. To further enhance efficiency, a novel switching DETC mechanism is developed to reduce communication burdens. By introducing a piecewise-constant term into an auxiliary dynamic variable, this mechanism effectively addresses the asynchronous subsystem switching issue induced by event-triggered control (ETC). Compared with existing methods, the proposed scheme removes the restriction on the maximum asynchronous time and provides a proof for excluding Zeno behavior. The effectiveness of the overall control framework is finally validated through two simulation experiments.