Shedding light on new opportunities in predictor feedback this book significantly broadens the set of techniques available to a mathematician or engineer working on delay systems. It is collection of tools and techniques that make predictor feedback ideas applicable to nonlinear systems systems modeled by PDEs systems with highly uncertain or completely unknown input/output delays and systems whose actuator or sensor dynamics are modeled by more general hyperbolic or parabolic PDEs rather than by pure delay. Replete with examples Delay Compensation for Nonlinear Adaptive and PDE Systems is an excellent reference guide for graduate students researchers and professionals in mathematics systems control as well as chemical mechanical electrical computer aerospace and civil/structural engineering. Parts of the book may also be used in graduate courses on general distributed parameter systems linear delay systems PDEs nonlinear control state estimator and observers adaptive control robust control or linear time-varying systems.

Advanced Hybrid Automotive Systems: (Hybrid Systems Repair Strategies including Honda and Toyota) by [ Concepcion Mandy Concepcion Mandy ]

In this age of information overload people use a variety of strategies to make choices about what to buy how to spend their leisure time and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable personal and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals such as collaborative and content-based filtering as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field this book will also be useful for professionals looking for the right technology to build real-world recommender systems.

This book has been designed for a first course on digital design for engineering and computer science students. It offers an extensive introduction on fundamental theories from Boolean algebra and binary arithmetic to sequential networks and finite state machines together with the essential tools to design and simulate systems composed of a controller and a datapath. The numerous worked examples and solved exercises allow a better understanding and more effective learning. All of the examples and exercises can be run on the Deeds software freely available online on a webpage developed and maintained by the authors. Thanks to the learning-by-doing approach and the plentiful examples no prior knowledge in electronics of programming is required. Moreover the book can be adapted to different level of education with different targets and depth be used for self-study and even independently from the simulator. The book draws on the authors extensive experience in teaching and developing learning materials.

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