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The problem of static precompensator design for uncertain system to reduce the coupling is considered in this paper. Diagonal dominant is redefined using the H2 norm of the system. Based on this definition, the necessary and sufficient conditions for system diagonal dominant, which are described by Linear Matrix Inequalities (LMIs), are derived. These conditions are extended to design static precompensator...
This paper proposes a rapid trajectory optimization approach using a novel PSO algorithm, the Migrant particle swarm optimization (Migrant PSO). Imitating the behavior of a flock of migrant birds, the Migrant PSO algorithm employs stochastic search method and adaptive linear search method respectively for PSO search spaces including both continuous space and discrete space. In the example of the minimum...
This paper proposed a power quality disturbances classification system based on wavelet transforms and novel probabilistic neural network (PNN). Wavelet transform is utilized to extract feature vectors for various power quality disturbances based on multi-resolution analysis. The decomposition signal is divided into 5 equal length bins in each level. Root mean square (RMS) value of the wavelet coefficients...
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