Novel Looped Functionals in Designing Output Feedback Controllers for Aperiodic Sampled-Data Control Systems
Wei Wang, Jinming Liang, Hong‐Bing Zeng, Xian‐Ming Zhang
Hunan University of Technology Swinburne University of Technology
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This paper addresses the problem of stabilizing aperiodic sampled-data systems using output feedback control. First, a novel two-sided looped functional is constructed, providing a sufficient condition to ensure the asymptotic stability of the resulting closed-loop system. This condition is then adapted for control design. Using a cone complementary linearization algorithm with a stringent iteration criterion, a practical approach is developed to compute the control gain. Finally, three examples, including an inverted pendulum system and a one-area load-frequency control system, demonstrate the effectiveness and superiority of the proposed method over others in the literature.
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Neural Networks Stability and Synchronization · Mathematical Dynamics and Fractals
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