2023
DOI: 10.1002/oca.3020
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Observer‐based dynamic ETC optimized tracking of nonlinear systems with stochastic disturbances

Abstract: This paper proposes a simple and efficient adaptive event‐triggered optimized control (ETOC) scheme using reinforcement learning (RL) for stochastic nonlinear systems. The scheme includes an online state observer to estimate unmeasured states and a dynamically adjustable event‐triggered mechanism that reduces communication resources. The RL algorithm is based on the negative gradient of a simple positive function and employs the identifier‐actor‐critic architecture. The proposed ETOC approach is in the sensor‐… Show more

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Cited by 2 publications
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