We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should in principle achieve regulation to a given state setpoint and provide a guaranteed basin of attraction. Determining the equilibrium input to achieve that setpoint is not trivial in a data-based setting and we propose the design of a controller in two scenarios. The design takes the form of linear matrix inequalities and is validated numerically for a Ćuk converter.

Setpoint control of bilinear systems from noisy data

Bisoffi, Andrea;
2024-01-01

Abstract

We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should in principle achieve regulation to a given state setpoint and provide a guaranteed basin of attraction. Determining the equilibrium input to achieve that setpoint is not trivial in a data-based setting and we propose the design of a controller in two scenarios. The design takes the form of linear matrix inequalities and is validated numerically for a Ćuk converter.
2024
2024 IEEE 63nd Conference on Decision and Control (CDC)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1285217
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