Informatics in Control, Automation and Robotics: 14th International Conference, ICINCO 2017 Madrid, Spain, July 26-28, 2017 Revised Selected Papers
Author:   Oleg Gusikhin ,  Kurosh Madani
Publisher:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   495
ISBN:  

9783030112912


Pages:   812
Publication Date:   19 April 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Informatics in Control, Automation and Robotics: 14th International Conference, ICINCO 2017 Madrid, Spain, July 26-28, 2017 Revised Selected Papers


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Overview

The book focuses the latest endeavours relating researches and developments conducted in fields of Control, Robotics and Automation. Through more than twenty revised and extended articles, the present book aims to provide the most up-to-date state-of-art of the aforementioned fields allowing researcher, PhD students and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book. The deliberate intention of editors to cover as well theoretical facets of those fields as their practical accomplishments and implementations offers the benefit of gathering in a same volume a factual and well-balanced prospect of nowadays research in those topics. A special attention toward “Intelligent Robots and Control” may characterize another benefit of this book.  

Full Product Details

Author:   Oleg Gusikhin ,  Kurosh Madani
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   495
Weight:   1.406kg
ISBN:  

9783030112912


ISBN 10:   3030112918
Pages:   812
Publication Date:   19 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Scheduling of an On-demand Fixture Manufacturing Cell for Mass Customization: Optimal Method vs. Heuristic.- Finite-Horizon H8 Control Problem with Singular Control Cost.- Energy-based Functional Modelling for Control Architecture Design: An Application to Energy Management for a Hybrid Electric Vehicle.- Semi-supervised Data Mining Tool Design with Self-Tuning Optimization Techniques.- A Discrete-time PID-like Consensus Control: Application to the Wind Farm Distributed Control Problem.- Parallel Scheduling Subject to Release Dates and Delivery Times under the Non-idling Constraint.

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