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Uncertainties in dynamic systems are an inevitable consequence of non-linearity and complexity, and obscure the performance of fault diagnosis. In order to achieve robust and reliable fault diagnosis, the unknown input (disturbance) de-coupling principle has been employed in recent research. In this paper, a method of computing the unknown input(More)
Invited Paper Low power and high performance are the two most important criteria for many signal-processing system designs, particularly in real-time multimedia applications. There have been many approaches to achieve these two design goals at many different implementation levels ranging from very-large-scale-integration fabrication technology to system(More)
Genetic algorithm is one of the commonly used approaches on machine learning. In this paper, we put forward a genetic algorithm approach for pruning decision tree. Binary coding is adopted in which an individual in a population consists of a fixed number of weight that stand for a solution candidate. The evaluation function considers error rate of decision(More)
Faults in process control systems can cause undesired reactions and shut-down of a plant, and could be damaging to components, to personnel or the environment. The improvement of reliability, safety and efficiency of the system has become increasingly important. The fundamental purpose of a FTCS scheme is to ensure that faults do not result in system(More)