Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Vladareanu, Luige (editor)
Advanced intelligent (ADI) control through Versatile Intelligent Portable (VIP) Platforms is a rapidly developing, complex, challenging field with great practical importance and potential. ADI control is an interdisciplinary field which combines and extends theories and methods from control theory, computer science, and operations research areas with the aim of developing controllers that are highly adaptable to significant unanticipated changes. Deep research and communicating new trends in the design, control, and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this book. Innovative multi-sensor fusion techniques, integrated through VIP platforms, are developed and combined with computer vision, virtual and augmented reality (VR&AR), and intelligent communication, including remote control, adaptive sensor networks, human–robot (H2R) interaction systems, and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough set-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision-based DSS, and sensory and robotic DSS are highlighted in the field of advanced intelligent control. Approaching new technologies using advanced intelligent control through versatile intelligent portable platforms involves complex multidisciplinary research covering enhanced IoT technologies and applications in the 5G densification era, bio-inspired techniques in future manufacturing enterprise control, cyberphysical systems approach to cognitive enterprise, developing the IT Industry 4.0 concept, industrial systems in the digital age, cloud computing, robotics, and automation with applications such as human aid mechatronics moving in unstructured and uneven environments, rescue robots, firefighting robots, rehabilitation robots, robot-assisted surgery, and domestic robots.
KeywordsPassive Brain Signals; adaptive automation and controller; EOG artifact; independent component analysis; engagement index; lower limb; rehabilitation robot; motion intention acquisition; static torque sensor; quadcopter; drone; pollutant; carbon; air monitoring; kernel; cyber-physical systems; intelligent cyber enterprise; systems interface; user experience; accessibility; autism spectrum disorder; game-based learning; systematic literature review; exoskeleton hand; fractional order model; control; human–robot interaction; training task; multi-sensor system; quantum particle swarm optimization; support vector machines; microinjection sensor; PDMS capillary; micro-wire; picolitre volume measurement; MPWM microfluidic transport; β-Ga2O3; nanowires; oxidation; silver catalyst; electrical conductivity; photodetector; automatic distortion rectification; wide-angle lens; fish-eye lens; advanced driver-assistance system (ADAS); video-surveillance; vision tasks; connected bike; smart technologies; IoT; personalized training; embedded; back-end; front-end; Android; modules; MQTT; monitoring; 3D scanning; 3D shape reconstruction; RGB-D sensors; imperfect data; hybrid neural networks; computer vision; deep learning; convolutional neural networks; advanced intelligent control; facial emotion recognition; face recognition; NAO robot; critical infrastructures; positioning system; optical measurements; fiducial markers; adaptive kalman; measurement fusion; software sensor data; machine-learning classifier; smartphone security; intelligent control; robot control intelligent sensor systems; intelligent decision support systems; versatile intelligent portable platforms; new technologies; adaptive sensor networks; virtual and augmented reality; intelligent remote control and communication
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Publication date and placeBasel, Switzerland, 2020
History of engineering & technology