Xiaoke Tang , Yunliang Wang , Jun Cheng , Dan Zhang , Wenhai Qi
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引用次数: 0
Abstract
This study briefly explores fuzzy control for Markov singularly perturbed systems with a dynamic-probabilistic event-triggered mechanism and a dynamic mismatch mechanism. To optimize resource consumption, the proposed event-triggered mechanism leverages the stochastic nature of communication delays. Additionally, a general dynamic mismatch mechanism is introduced to address scenarios where the system and controller modes do not align. Sufficient conditions for ensuring system stability are derived using Lyapunov theory. Finally, the effectiveness of the proposed methodology is validated through both numerical simulations and practical examples.
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The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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