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• W2006902373 abstract "Abstract A hierarchical multiple model adaptive control (MMAC) is described for discrete-time stochastic systems with unknown sensor and actuator parameters, where the decentralized structure consists of a central processor and of m local processors which do not communicate between each other. A major assumption in this study is that the central and any local stations have different knowledge of the hypotheses on the unknown parameters. This leads to a flexible design algorithm for passively adaptive control strategies. Furthermore, the coordinator algorithm in evaluating the global a posteriori probability is relatively simple to implement. The result is applied to the design problem of an instrument failure detection and identification (FDI) system." @default.
• W2006902373 created "2016-06-24" @default.
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• W2006902373 date "1990-09-01" @default.
• W2006902373 modified "2023-09-23" @default.
• W2006902373 title "A hierarchical multiple model adaptive control of discrete-time stochastic systems for sensor and actuator uncertainties" @default.
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• W2006902373 doi "https://doi.org/10.1016/0005-1098(90)90004-2" @default.
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