Stabilization of Switched Linear Systems with Control Constraints Based on EA

Hosni Houssem; Ben Mabrouk Walid; Liouane Noureddine

doi:10.20944/preprints202011.0536.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 19 November 2020 / Approved: 20 November 2020 / Online: 20 November 2020 (11:07:03 CET)

In this paper, we address the problem of stabilization of switched linear systems. The idea is to look for a state feedback control law using evolutionary algorithms (EA) in order to assure the stability of the switched linear systems under control constraints. In some cases when states are not available and only outputs are measurable, the previous method is applied to design an output feedback controller which stabilizes the system. Both stabilizing controllers are developed using deferential evolution and genetic algorithm. Two numerical examples illustrate our proposed theory and point out the effectiveness of our proposed approaches.

Stabilization; control constraints; evolutionary algorithms; switched linear system

Engineering, Automotive Engineering

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Stabilization of Switched Linear Systems with Control Constraints Based on EA

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