The technical note presents the design of a reference governor that manages directly the state and input references for constrained output regulation problems. In particular, for the class of so-called weakly input redundant linear systems, the proposed method leads to a taxonomy in terms of non-intrusive and intrusive reference governors, on the basis of the effect of reference manipulation on the tracking error. Non-intrusive references constitute a degree of freedom that one can freely select to meet constraint requirements; intrusive references are also assignable during transient, but shall be forced to vanish in steady state in order to achieve exact regulation. A simulation study illustrates the features of the proposed approach in support of the theoretical findings.

Zhou, J., Canova, M., Serrani, A. (2017). Non-Intrusive Reference Governors for Over-Actuated Linear Systems. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 62(9), 4734-4740 [10.1109/TAC.2016.2628167].

Non-Intrusive Reference Governors for Over-Actuated Linear Systems

Serrani A.
2017

Abstract

The technical note presents the design of a reference governor that manages directly the state and input references for constrained output regulation problems. In particular, for the class of so-called weakly input redundant linear systems, the proposed method leads to a taxonomy in terms of non-intrusive and intrusive reference governors, on the basis of the effect of reference manipulation on the tracking error. Non-intrusive references constitute a degree of freedom that one can freely select to meet constraint requirements; intrusive references are also assignable during transient, but shall be forced to vanish in steady state in order to achieve exact regulation. A simulation study illustrates the features of the proposed approach in support of the theoretical findings.
2017
Zhou, J., Canova, M., Serrani, A. (2017). Non-Intrusive Reference Governors for Over-Actuated Linear Systems. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 62(9), 4734-4740 [10.1109/TAC.2016.2628167].
Zhou, J.; Canova, M.; Serrani, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1063093
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