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Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.

Automobiles --- System identification --- System theory --- Mechanical Engineering --- Engineering & Applied Sciences --- Automotive Engineering --- Electronic equipment --- System identification. --- System theory. --- Electronic equipment. --- Systems, Theory of --- Systems science --- Identification, System --- Automotive electronics --- Engineering. --- Automotive engineering. --- Control engineering. --- Automotive Engineering. --- Systems Theory, Control. --- Control. --- Science --- Philosophy --- System analysis --- Equipment and supplies --- Systems theory. --- Control and Systems Theory. --- Construction --- Industrial arts --- Technology --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers

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This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose – accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called “artificial pancreas”. The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects. The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advances in data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted. This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.

Biomedical Engineering --- Health & Biological Sciences --- Blood sugar --- Blood sugar monitoring --- Analysis. --- Equipment and supplies. --- Blood glucose self-monitoring --- Patient monitoring --- Analysis --- Biomedical engineering. --- Diabetes. --- Biomedical Engineering and Bioengineering. --- Control and Systems Theory. --- Biological and Medical Physics, Biophysics. --- Brittle diabetes --- Diabetes mellitus --- IDDM (Disease) --- Insulin-dependent diabetes --- Ketosis prone diabetes --- Type 1 diabetes --- Carbohydrate intolerance --- Endocrine glands --- Diabetic acidosis --- Glycosylated hemoglobin --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Diseases --- Control engineering. --- Biophysics. --- Biological physics. --- Biological physics --- Biology --- Medical sciences --- Physics --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers

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This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose – accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called “artificial pancreas”. The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects. The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advances in data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted. This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.

General biophysics --- Human biochemistry --- Pathology of the metabolism --- Pathological endocrinology --- Applied physical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- procesautomatisering --- klinische chemie --- medische biochemie --- biofysica --- biochemie --- diabetes mellitus --- controleleer --- ingenieurswetenschappen --- regeltechniek

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Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.

Automatic control --- Control theory --- Mechanical Engineering --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Engineering. --- Automotive engineering. --- Control engineering. --- Control. --- Automotive Engineering. --- Control and Systems Theory. --- Construction --- Industrial arts --- Technology --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Automotive model predictive control