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in this paper, an adaptive control technique is applied to controlling the chaotic behavior in thruster motor system for deepwater robot. This chaotic oscillation has a direct impact on the stability, reliability and security of the robot. In addition, the proposed approach is also verified in the way of both flexibility and effectiveness, and a kind of chaotic controller that is applicable for manufacturing...
While there have been considerable work in the last couple of years for architecting embedded chip multiprocessors, programming and compiler support required for them took relatively less attention. Our goal in this paper is to show that conventional compiler-directed code parallelization used in high performance computing is not very suitable for embedded chip multiprocessors where minimizing memory...
One of the major factors that can potentially slow down widespread use of embedded chip multiprocessors is lack of efficient software support. In particular, automated code parallelizers are badly needed since it is not realistic to expect an average programmer to parallelize a large complex embedded application over multiple processors, taking into account several factors at the same time such as...
A particle swarm optimization (PSO) is presented for training Hidden Markov Model (HMM) used in speech recognition. The PSO is designed to estimate optimal parameters of HMM. Some heuristic algorithms such as Baum-Welch algorithm are developed to optimize the model parameters to describe the training observation sequences. However, these methods are hill-climbing algorithms and easy to converge to...
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