The calculation and analysis of a power distribution network (PDN) require accurate device parameters. However, PDN has many points, the area is very wide. parameters are influenced by manual entry, most relatively random. Additionally, these affected operating status. Thus, this paper proposes an algorithm that accurately identifies based on Markov chain Monte Carlo (MCMC) method. assumes conf...

this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

The static pull-in instability of beam-type micro-electromechanical systems is theoretically investigated. Two engineering cases including cantilever and double cantilever micro-beam are considered. Considering the mid-plane stretching as the source of the nonlinearity in the beam behavior, a nonlinear size-dependent Euler-Bernoulli beam model is used based on a modified couple stress theory, c...