We present a decentralized nonlinear flow control scheme for a class of communication networks with physical constraints. Through a detailed analysis, we demonstrate that nonlinear system theory can be applied to cope with saturation nonlinearity and unknown disturbances in network flow control problems. We solve the constrained queue regulation problem against traffic interferences with contro...

Standard particle swarm optimization (SPSO) algorithm was modified by escape strategy of the particle velocity, and an escape PSO (EPSO) was proposed to overcome the shortcomings of being trapped in local optima because of premature convergence. To enhance the performance of radial basis function (RBF) neural network, the EPSO is combined with RBF neural network to form a EPSON hybrid algorithm...

<span>The main objective of stock market investors is to maximize their gains. As a result, price forecasting has not lost interest in recent decades. Nevertheless, prices are influenced by news, rumor, and various economic factors. Moreover, the characteristics specific markets can differ significantly between countries regions, based on size, liquidity, regulations. Accordingly, it diff...

Areas of Teaching Interest:  Analysis and Design of Control Systems  Discrete Time Control Systems  Intelligent Controls  Robust Nonlinear Controls Areas of Research Interest:  Robust and adaptive control of nonlinear systems  Homogeneous systems theory  Output feedback control  Observer design and fault detection  Intelligent control systems  Control of nonholonomic systems  Underac...

Chartier and his colleagues have recently proposed a nonlinear synchronous attractor neural network. In the Nonlinear Dynamic Recurrent Associative Memory (NDRAM), learning has been shown to converge to a set of real-valued attractors in single-layered neural networks and bidirectional associative memories. However, the transmission is highly nonlinear and its global stability has never been an...

unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

Earthquake faults occur in networks that have dynamical modes not displayed by single isolated faults. Using simulations of the network of strike-slip faults in southern California, we find that the physics depends critically on both the interactions among the faults, which are determined by the geometry of the fault network, as well as on the stress dissipation properties of the nonlinear fric...