Stochastic Gas Turbine Engine Models
Previous chapters gave an overview of conventional methods for modelling of gas turbines for control purposes. This chapter provides basics of stochastic modelling using controllable Markov chain techniques. Accounting for stochastic properties is essential for engine modelling at system test facilities, where the real-life environment is simulated. In addition, the Markov modelling technique is a promising tool for condition monitoring and optimal control of aero engines. This chapter also introduces a novel fuzzy Markov modelling technique to further improve the modelling performance.
KeywordsMarkov Chain Transition Probability Matrix Control System Design Engine Model Random Disturbance
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