@conference {BBMSS06,
	title = {Hybrid Modelling and Control of the Common Rail Injection System},
	booktitle = {Hybrid Systems: Computation and Control},
	series = {Lecture Notes in Computer Science},
	volume = {3927 / 2006},
	year = {2006},
	pages = {79-92},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	abstract = {<p>We present an industrial case study in automotive control of significant complexity: the new common rail fuel injection system for Diesel engines, currently under production by Magneti Marelli Powertrain. In this system, a flow-rate valve, introduced before the High Pressure (HP) pump, regulates the fuel flow that supplies the common rail according to the engine operating point. The standard approach followed in automotive control is to use a mean-value model for the plant and to develop a controller based on this model. In this particular case, this approach does not provide a satisfactory solution as the discrete-continuous interactions in the fuel injection system, due to the slow time-varying frequency of the HP pump cycles and the fast sampling frequency of sensing and actuation, play a fundamental role. We present a design approach based on a hybrid model of the Magneti Marelli Powertrain common-rail fuel-injection system for four-cylinder multi-jet engines and a hybrid approach to the design of a rail pressure controller. The hybrid controller is compared with a classical mean-value based approach to automotive control design whereby the quality of the hybrid solution is demonstrated.</p>
},
	keywords = {Embedded Control, Robotics},
	author = {A. Balluchi and A. Bicchi and E. Mazzi and A. Sangiovanni Vincentelli and G. Serra},
	editor = {J. Hespanha and A. Tiwari}
}
@conference {BMP06-HSCC,
	title = {Improving efficiency of finite plans by optimal choice of input sets},
	booktitle = {Hybrid Systems: Computation and Control},
	series = {Lecture Notes in Computer Science},
	volume = {3927 / 2006},
	year = {2006},
	pages = {108-122},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	abstract = {<p>Finite plans proved to be an efficient method to steer complex control systems via feedback quantization. Such finite plans can be encoded by finite{\textendash}length words constructed on suitable alphabets, thus permitting transmission on limited capacity channels. In particular flat systems can be steered computing arbitrarily close approximations of a desired equilibrium in polynomial time. The paper investigates how the efficiency of planning is affected by the choice of inputs, and provides some results as to optimal performance in terms of accuracy and range. Efficiency is here measured in terms of computational complexity and description length (in number of bits) of finite plans.</p>
},
	keywords = {Embedded Control, Robotics},
	author = {A. Bicchi and A. Marigo and B. Piccoli},
	editor = {J. Hespanha and A. Tiwari}
}
