Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (eBook, ePUB)

Redaktion: Mercorelli, Paolo; Zhang, Yuming; Nemati, Hamidreza; Zhang, Weicun

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 450
• Erscheinungstermin: 19. Januar 2024
• Englisch
• ISBN-13: 9780323952088
• Artikelnr.: 69764970

Inhaltsangabe

1. Industry 4.0 more than a challenge in modelling, identification, and
control for cyber-physical systems Part I: Manufacturing as a challenge in
industry 4.0 process 2 Advanced Ice Clamping Control in the Context of
Industry 4.0 3 Temperature Control in Peltier Cells Comparing Sliding Mode
Control and PID Controllers 4 A Digital Twin for Part Quality Prediction
and Control in Plastic Injection Molding Part II: 2 Motion control and
autonomous robots as a challenge in industry 4.0 process 5 SLAM Algorithms
For Autonomous Mobile Robots 6 Optimization of Motion Control Smoothness
Based on Eband Algorithm 7 Modelling a Modular Omni-directional AGV
Developmental Platform with Integrated Suspension and Power-plant 8 Control
System Strategy of a Modular Omni-directional AGV 9 Mecanum wheel slip
detection model implemented on velocity-controlled drives 10 Safety
Automotive Sensors and Actuators with End-to-End Protection (E2E) in the
Context of AUTOSAR Embedded Applications Part III: Motion and control of
Autonomous Unmanned Aerial Systems as a challenge in industry 4.0 process
11 Multibody Simulations of Distributed Flight Arrays for Industry 4.0
Applications 12 Recent Advancements in Multi-Objective Pigeon Inspired
Optimization (MPIO) for Autonomous Unmanned Aerial System 13 U-Model Based
Dynamic Inversion Control for Quadrotor UAV systems 14 Nonlinear Control
Allocation Applied on a QTR: The Influence of the Frequency Variation Part
IV: Theoretical and Methodological Advancements in Disturbance Rejection
and Robust Control 15 Active Disturbance Rejection Control of Systems with
Large Uncertainties 16 Gain Scheduling Design Based on Active Disturbance
Rejection Control for Thermal Power Plant under Full Operating Conditions
17 Active disturbance rejection control of large-scale coal fired plant
process for flexible operation 18 Desired Dynamic Equational
Proportional-Integral-Derivative Controller Design Based on Probabilistic
Robustness