Produktbild: 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 Towards Industry 4.

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.01.2024

Herausgeber

Paolo Mercorelli + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

484

Maße (L/B/H)

22,6/15,3/2,3 cm

Gewicht

757 g

Sprache

Englisch

ISBN

978-0-323-95207-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.01.2024

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

484

Maße (L/B/H)

22,6/15,3/2,3 cm

Gewicht

757 g

Sprache

Englisch

ISBN

978-0-323-95207-1

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0
  • 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