Stability Analysis of a Class of Neural Networks with State-Dependent State Delay

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

Delay-Dependent Stability Analysis for Neural Networks with Distributed Delays

This paper deals with the problem of delay-dependent stability for neural networks with distributed delays. Some new sufficient condition are derived by constructing a novel Lyapunov-Krasovskii functional approach. The criteria are formulated in terms of a set of linear matrix inequalities, this is convenient for numerically checking the system stability using the powerful MATLAB LMI Toolbox. M...

Novel Delay-Dependent Exponential Stability Analysis for a Class of Delayed Neural Networks

Global Stability with a State-dependent Delay in Rate Control

We characterize the stability conditions with an arbitrary statedependent time-varying round-trip delay in the context of single-flow and singleresource for Kelly’s optimization based rate control scheme using invariance techniques. It is shown that the stability conditions with an arbitrary fixed delay are sufficient for the stability of the system with a state-dependent time-varying delay.

Stability Analysis for a Class of Affine State-Space Neural Networks

This paper presents some new analytical results on the global stability for a general class of discretetime state-space neural networks by using the Lyapunov stability theory and the contraction mapping theorem. The proposed stability conditions are determined by the synaptic weights matrices of the neural network.