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Diesel Engine System Design links everything diesel engineers need to know about engine performance and system design in order for them to master all the essential topics quickly and to solve practical design problems. Based on the author's unique experience in the field, it enables engineers to come up with an appropriate specification at an early stage in the product development cycle. - Links everything diesel engineers need to know about engine performance and system design featuring essential topics and techniques to solve practical design problems - Focuses on engine performance and system integration including important approaches for modelling and analysis - Explores fundamental concepts and generic techniques in diesel engine system design incorporating durability, reliability and optimization theories
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.
In this second edition of Electronic Engine Control Technologies, the latest advances and technologies of electronic engine control are explored in a collection of 99 technical papers, none of which were included in the book's first edition. Editor Ronald K. Jurgen offers an informative introduction, "Neural Networks on the Rise," clearly explaining the book's overall format and layout. The book then closely examines the many areas surrounding electronic engine control technologies, including: specific engine controls, diagnostics, engine modeling, innovative solid-state hardware and software systems, communication techniques for engine control, neural network applications, and the future of electronic engine controls.
Proceedings of the European Control Conference 1993, Groningen, Netherlands, June 28 – July 1, 1993
In 1995, the Deutsche Forschungsgemeinschaft (DFG), the largest public research funding organization in Germany, decided to launch a priority program (Schw- punktprogramm in German) calledKondisk– Dynamics and Control of Systems with Mixed Continuous and Discrete Dynamics. Such a priority program is usually sponsored for six years and supports about twenty scientists at a time, in engineering andcomputersciencemostlyyoungresearchersworkingforadoctoraldegree. There is a yearly competition across all disciplines of arts and sciences for the funding of such programs, and the group of proposers was the happy winner of a slot in that year. The program started in 1996 after an open call for proposals; the successful projects were presented and re-evaluated periodically, and new projects could be submitted simultaneously. During the course of the focused research program, 25 different projects were funded in 19 participating university institutes, some of the projects were collaborative efforts of two groups with different backgrounds, mostly one from engineering and one from computer science. There were two main motivations for establishingKondisk. The rst was the fact that technical systems nowadays are composed of physical components with (mostly) continuous dynamics and computerized control systems where the reaction to discrete events plays a major role, implemented in Programmable Logic Contr- lers (PLCs), Distributed Control Systems (DCSs) or real-time computer systems.
This book presents a holistic view on localized energy transition while addressing current challenges associated with the production of biofuels, introducing new materials to produce solar photovoltaic (PV) panels, and digital systems for sustainable energy monitoring on a small scale, carbon capture, and sequestration. Also, each chapter of the book addresses specific aspects of the renewable and sustainable energy space while focusing more on energy improvement and storage technologies that are practical focused. Features: Offers useful information on new forms of renewable energy generation with reference to Industry 4.0. Illustrates practical approaches to energy transition. Provides guidance on renewable energy sources and energy storage systems. Discusses the application of the Fourth Industrial Revolution (4IR)-related approaches to emerging energy storage technologies. Includes studies that reveal approaches to realizing productivity, profitability, and increased return on investment (ROI). This book is aimed at graduate students and researchers in mechanical, chemical, and mechatronics engineering and renewable energy systems.