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Automation, Control and Energy Efficiency in Complex Systems

Automation, Control and Energy Efficiency in Complex Systems

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This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence, automated and intelligent control, energy analysis, energy modelling, energy management, and optimised energy efficiency. The significant impact of recent studies that have been selected for presentation are of high interest in engineering complex systems. An attempt has been made to expose the reading audience of engineers and researchers to a broad range of theoretical and practical topics. The topics contained in the present book are of specific interest to engineers who are seeking expertise in transportation, building, and manufacturing technologies as well as mathematical modelling of complex systems, engineering approaches to engineering complex problems, automation via artificial intelligence methods, automated and intelligent control, and energy systems. The primary audience of this book are researchers, graduate students, and engineers in mechanical engineering, control engineering, computer engineering, electrical engineering, and science disciplines. In particular, the book can be used for training graduate and PhD students as well as senior undergraduate students to enhance their knowledge by taking a graduate or advanced undergraduate course in the areas of complex systems, control systems, energy systems, and engineering applications. The covered research topics are also of interest to engineers and academia who are seeking to expand their expertise in these areas.eng

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Keywords

  • active 4WS system
  • adaptive-equivalent consumption minimum strategy
  • air-conditioning
  • building automation systems
  • building energy efficiency
  • carbon fibers
  • composite controller
  • coupling effect
  • daytime lighting
  • decoupling
  • desert climate
  • differential steering
  • direct expansion air-conditioning (DX A/C)
  • electric vehicle
  • electrical network model
  • Elman Neural Networks
  • EN 15232 standard
  • energy management system
  • EV charging infrastructure
  • event-based consensus
  • extended-range electric bus
  • four-wheel independent-drive
  • fractional order
  • fractional sliding mode control
  • fuzzy bidirectional associative memories (FBAMs)
  • fuzzy cognitive map (FCM)
  • Hierarchical Control
  • hierarchical event-based control
  • hierarchical leader–follower network
  • History of engineering & technology
  • intelligent control (IC)
  • IR imaging
  • layer-to-layer delays
  • lighting control systems
  • Lyapunov function
  • Markov chain
  • Microstructure
  • MIMO
  • motion control
  • multi-train optimization
  • nonlinear
  • oil-to-electricity transformation for automobiles
  • On-Off control
  • optimal dispatch
  • optimization
  • permanent magnet synchronous motor
  • polyacrylonitrile
  • recirculation fan frequency
  • regenerative energy dynamic losses
  • robustness
  • skid steering
  • Sliding mode control
  • sliding mode variable structure control
  • sliding surface
  • SOC reference curve
  • stability analysis
  • steep slope
  • target driving cycles
  • Technology, engineering, agriculture
  • Technology: general issues
  • thermal stabilization
  • URT
  • vehicle-to-grid

Links

DOI: 10.3390/books978-3-03943-628-6

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