${\mathcal H}_{\infty}$ WEIGHT LEARNING ALGORITHM OF RECURRENT NEURAL NETWORKS WITH TIME-DELAY
DOI10.1142/S0217984910023244zbMath1211.93101OpenAlexW1681302495MaRDI QIDQ3573153
Publication date: 30 June 2010
Published in: Modern Physics Letters B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0217984910023244
time-delayrecurrent neural networkslinear matrix inequality (LMI)Lyapunov-Krasovskii stability theory\(\mathcal H_{\infty}\) learning law (HLL)
Learning and adaptive systems in artificial intelligence (68T05) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Asymptotic stability in control theory (93D20) Stability theory of functional-differential equations (34K20)
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- Identification of nonlinear dynamical systems using multilayered neural networks
- New results on stability analysis of neural networks with time-varying delays
- Neural networks for control systems - a survey
- Global asymptotic stability of Hopfield neural networks with transmission delays
- Global asymptotic stability of a larger class of neural networks with constant time delay
- On global stability criterion of neural networks with continuously distributed delays
- Delay-dependent exponential stability for a class of neural networks with time delays
- Stabilization of a class of distributional convolution equations
- Linear Matrix Inequalities in System and Control Theory
- Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity
- An improved global stability result for delayed cellular neural networks
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Adaptive control of unknown plants using dynamical neural networks
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