Continuous model based predictive control (CMPC) applied to an observer-predictor scheme for linear unstable delayed systems with a pair of complex conjugate poles

https://doi.org/10.58571/CNCA.AMCA.2025.055

Resumen: This paper presents a stabilization methodology for time-delayed systems by means of a continuous model-based predictive control (CMPC). The stabilization strategy is based on the design of an observer-predictor scheme with a single gain, which allows estimating internal signals not directly measurable in the plant, these signals are used for the design of the CMPC predictive controller. The main contribution consists in the development of a CMPC predictive control algorithm by using Laguerre functions. Experimental results illustrate the effectiveness of the approach, showing advantages over other conventional control schemes.

¿Cómo citar?

Urquiza-Castro, A., Márquez Rubio, J., Del Muro Cuellar, B., Barragán Bonilla, L. & Vázquez Guerra, R. (2025). Continuous model based predictive control (CMPC) applied to an observer-predictor scheme for linear unstable delayed systems with a pair of complex conjugate poles. Memorias del Congreso Nacional de Control Automático 2025, pp. 319-324. https://doi.org/10.58571/CNCA.AMCA.2025.055

Palabras clave

Predictive control, linear systems, linear system observers, systems with time delays.

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