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The problem of compensating for underwater motion effects (heave component) arises in a number of areas of current interest. Two models of the heave process are discussed. In the first, frequency-response-based higher-order models, including lead-lag factors, are obtained as a prelude to the application of the standard Kalman filter to estimate the heave(More)
This paper proposes a new approach to real time economic and emission dispatch by using orthogonal least-squares (OLS) and modified particle swarm optimization (MPSO) algorithms to construct the radial basis function (RBF) network. The objectives considered are fuel cost and NOx/CO2 emissions. The RBF network is composed of input, hidden, and output layers.(More)
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