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A novel adaptive filter design using Lyapunov stability theory
(Tubitak Scientific & Technical Research Council Turkey, 2015)
This paper presents a new approach to design an adaptive filter using Lyapunov stability theory. The design procedure is formulated as an inequality constrained optimization problem. Lagrange multiplier theory is used as ...
LYAPUNOV THEORY BASED ADAPTIVE LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS
(Acad Sciences Czech Republic, Inst Computer Science, 2014)
This paper presents a novel weight updating algorithm for training of multilayer neural network (MLNN). The MLNN system is first linearized and then the design procedure is proposed as an inequality constraint optimization ...