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  • Francesco Borrelli, Springer Berlin, Heidelberg Newyork, Hong Kong, London Milan, Paris Tokyo +9 others
  • 2003
To my family. Acknowledgments This book is a revised version of my Ph.D. thesis from the automatic control laboratory at ETH-Zurich, written during the years 2001 to 2002. My thesis advisors were Manfred Morari and Alberto Bemporad. Almost all the material presented in this book is extracted from work done jointly with them. I would like to express my(More)
Deep brain stimulation (DBS) is an effective therapy to treat movement disorders including essential tremor, dystonia, and Parkinson's disease. Despite over a decade of clinical experience the mechanisms of DBS are still unclear, and this lack of understanding makes the selection of stimulation parameters quite challenging. The objective of this work was to(More)
Deep brain stimulation (DBS) is an effective electric therapy to treat movement disorders associated with chronical neural diseases like essential tremor, dystonia and Parkinson's disease. In spite of a long clinical experience, the cellular effects of the DBS are still partially unknown because of the lack of information about the target sites. Recent(More)
This paper proposes a novel piecewise linear feedback control strategy for the automotive dry clutch engagement process. Based on a dynamic model of the powertrain system, the controller is designed by minimizing a quadratic performance index subject to constraints on the inputs and on the states. The resulting model predictive controller is shown to(More)
—Microgrids are subsystems of the distribution grid which comprises small generation capacities, storage devices and controllable loads, which can operate either connected or isolated from the utility grid. This paper studies the microgrid economic scheduling, i.e. the problem of optimize microgrid operations to fulfil a time-varying energy demand and(More)