Delay-Dependent Stability Analysis for Switched Neural Networks With Time-Varying Delay
Copyright policy )Delay-Dependent Stability Analysis for Switched Neural Networks With Time-Varying Delay
In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques.
- University of Adelaide Australia
- University of South Australia Australia
- Victoria University Australia
- University of South Wales United Kingdom
- Zhejiang Ocean University China (People's Republic of)
average dwell time method, switched neural networks, exponential stability, neural network, Institute for Logistics and Supply Chain Management (ILSCM), ResPubID24867, ResPubID25042, global exponential stability, neural networks, Exponential stability, 530, 510, 0906 Electrical and Electronic Engineering, time-varying delay, delay-dependent stability analysis, 0801 Artificial Intelligence and Image Processing, switched systems, LMI, linear matrix inequality (LMI), 970108 Expanding Knowledge in the Information and Computing Sciences, linear matrix inequality, 0802 Computation Theory and Mathematics
average dwell time method, switched neural networks, exponential stability, neural network, Institute for Logistics and Supply Chain Management (ILSCM), ResPubID24867, ResPubID25042, global exponential stability, neural networks, Exponential stability, 530, 510, 0906 Electrical and Electronic Engineering, time-varying delay, delay-dependent stability analysis, 0801 Artificial Intelligence and Image Processing, switched systems, LMI, linear matrix inequality (LMI), 970108 Expanding Knowledge in the Information and Computing Sciences, linear matrix inequality, 0802 Computation Theory and Mathematics
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