In this paper, the set stabilization of switched Boolean control networks (SBCNs) under sampled-data feedback control is addressed. Here, the control input is switching signal-dependent, and SBCNs can switch only at the sampling instants. First, the sampled point control invariant subset (SPCIS) of SBCNs is defined, and an algorithm is provided to obtain the largest SPCIS under arbitrary switching signal. Based on the largest SPCIS, some necessary and sufficient conditions are presented for the set stabilization of SBCNs by switching signal-dependent sampled-data (SSDSD) state feedback control. Furthermore, a constructive procedure is given to design all possible SSDSD state feedback controllers. Finally, some examples are presented to illustrate the effectiveness of the obtained results.

Sampled-data set stabilization of switched boolean control networks / Yerudkar, A.; Del Vecchio, C.; Glielmo, L.. - 53:2(2020), pp. 6139-6144. (Intervento presentato al convegno 21st IFAC World Congress 2020 tenutosi a deu nel 2020) [10.1016/j.ifacol.2020.12.1694].

Sampled-data set stabilization of switched boolean control networks

Del Vecchio C.;Glielmo L.
2020

Abstract

In this paper, the set stabilization of switched Boolean control networks (SBCNs) under sampled-data feedback control is addressed. Here, the control input is switching signal-dependent, and SBCNs can switch only at the sampling instants. First, the sampled point control invariant subset (SPCIS) of SBCNs is defined, and an algorithm is provided to obtain the largest SPCIS under arbitrary switching signal. Based on the largest SPCIS, some necessary and sufficient conditions are presented for the set stabilization of SBCNs by switching signal-dependent sampled-data (SSDSD) state feedback control. Furthermore, a constructive procedure is given to design all possible SSDSD state feedback controllers. Finally, some examples are presented to illustrate the effectiveness of the obtained results.
2020
Sampled-data set stabilization of switched boolean control networks / Yerudkar, A.; Del Vecchio, C.; Glielmo, L.. - 53:2(2020), pp. 6139-6144. (Intervento presentato al convegno 21st IFAC World Congress 2020 tenutosi a deu nel 2020) [10.1016/j.ifacol.2020.12.1694].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/910557
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