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A new method for modeling and analysis of networked control systems with time delay using hidden Markov models is presented. The optimal estimator of system state for networked control systems without full state information is given when the networked induced time delay is governed by an underlying Markov chain. The design of stochastic optimal controllers of networked control systems with output...
The recognition of the furnace flame combustion condition is an important domain in the flame monitoring system. In recent years, the image processing technology is widely applied to detection of the flame combustion condition. The combustion in furnace, such as the combustion of the pulverized coal, is the complex, stochastic and unstable burning process. The flame images are static and include a...
The recognition of the furnace flame combustion condition is an important domain in the flame monitoring system. In recent years, the image processing technology is widely applied to detection of the flame combustion condition. The combustion in furnace, such as the combustion of the pulverized coal, is the complex, stochastic and unstable burning process. The flame images are static and include a...
The classification is an important domain in boiler flame image processing and is a preliminary step toward detection, recognition and understanding of combustion condition. In this paper, a hidden Markov model (HMM) approach is introduced into boiler flame image classification. Firstly, we define a feature vector for each flame image including 5 feature elements, which are the brightness of flame,...
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