Many Embedded Systems are indeed Software Based Control Systems, that is control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of embedded systems control software. This paper addresses control software synthesis for discrete time nonlinear hybrid systems. We present a methodology to overapproximate the dynamics of a discrete time nonlinear hybrid system H by means of a discrete time linear hybrid system LH, in such a way that controllers for LH are guaranteed to be controllers for H. We present experimental results on control software synthesis for the inverted pendulum, a challenging and meaningful control problem. © 2012 IEEE.

Automatic control software synthesis for quantized discrete time hybrid systems / Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico. - STAMPA. - (2012), pp. 6120-6125. (Intervento presentato al convegno 51st IEEE Conference on Decision and Control, CDC 2012 tenutosi a Maui, HI nel 10 December 2012 through 13 December 2012) [10.1109/cdc.2012.6426260].

Automatic control software synthesis for quantized discrete time hybrid systems

ALIMGUZHIN, VADIM;MARI, FEDERICO;MELATTI, IGOR;SALVO, Ivano;TRONCI, Enrico
2012

Abstract

Many Embedded Systems are indeed Software Based Control Systems, that is control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of embedded systems control software. This paper addresses control software synthesis for discrete time nonlinear hybrid systems. We present a methodology to overapproximate the dynamics of a discrete time nonlinear hybrid system H by means of a discrete time linear hybrid system LH, in such a way that controllers for LH are guaranteed to be controllers for H. We present experimental results on control software synthesis for the inverted pendulum, a challenging and meaningful control problem. © 2012 IEEE.
2012
51st IEEE Conference on Decision and Control, CDC 2012
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Automatic control software synthesis for quantized discrete time hybrid systems / Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico. - STAMPA. - (2012), pp. 6120-6125. (Intervento presentato al convegno 51st IEEE Conference on Decision and Control, CDC 2012 tenutosi a Maui, HI nel 10 December 2012 through 13 December 2012) [10.1109/cdc.2012.6426260].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/488402
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