Modeling Identification And Control For Cyber Physical Systems Towards Industry 4 0
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Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0
Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing and related industries and value creation processes. This book focuses on the conception and implementation of intelligent algorithms. It will help readers who work on sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies. Cyber-Physical Systems are network components that coordinate physical actions with each other. These autonomous systems perceive their surroundings using virtual sensors and actively influence them via virtual actuators. Adaptable and continuously evolving, these systems free up skilled workers to perform complex tasks, avoiding productivity loss and re-work. - Provides the new and cutting-edge research and development and a series of guidance procedures for potential applications from academic research to industrial R&D - Focuses on the conception and implementation of intelligent algorithms - Covers a wide spectrum of topics, including sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies
Artificial Intelligence and Machine Learning, Recent Trends and Applications
Author: Dr. Shanmuganathan V
language: en
Publisher: RK Publication
Release Date: 2025-02-07
Artificial Intelligence and Machine Learning: Recent Trends and Applications explores the advancements, methodologies, and real-world implementations of AI and ML across various industries. It emerging trends such as deep learning, reinforcement learning, generative AI, and ethical AI, providing insights into their impact on healthcare, finance, robotics, and more. The highlights innovations, challenges, and future prospects, making it an essential resource for researchers, professionals, and students seeking to understand the evolving landscape of intelligent systems and their transformative potential in modern society.
Handbook of Industry 4.0 and SMART Systems
Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.