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.This paper focuses on the model reference adaptive tracking control problem of uncertain hybrid switching Markovian systems. The stochastic multiple piecewise Lyapunov function method is set up for designing a hybrid switching signal and a piecewise dynamic switching adaptive controller. The hybrid switching signal is presented to improve the adaptive tracking capability by providing plenty of adjusting time during the stochastic switching stage. A piecewise dynamic parameter projection adaptive control technique is developed, which provides more freedom in designing a model reference adaptive law. A set of piecewise dynamic switching adaptive controllers are designed such that all the signals of the tracking error system remain within a bounded region under the proposed hybrid switching signal, and the tracking error converges to a neighborhood of zero where the radius of the neighborhood can be made arbitrarily small by choosing the regulation parameters appropriately. Finally, the developed adaptive tracking control theory of uncertain hybrid switching Markovian systems is illustrated by using a numerical example and an application example of an electro-hydraulic model.KeywordsMarkovian jumping systemswitched systemhybrid switching signalmodel reference adaptive controladaptive lawMSC codes37N3593C3093D0560J20
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Dong Yang
University of Electronic Science and Technology of China
Guangdeng Zong
Tiangong University
Yang Shi
University of Victoria
SIAM Journal on Control and Optimization
The University of Adelaide
University of Victoria
Qufu Normal University
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Yang et al. (Tue,) studied this question.
synapsesocial.com/papers/6a1546afa2352da347822d03 — DOI: https://doi.org/10.1137/21m1442036
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