Call for Chapters: Harnessing AI for Control Engineering

Editors

Mohamed Arezki Mellal, M'Hamed Bougara University, Algeria, Algeria

Call for Chapters

Proposals Submission Deadline: August 20, 2024
Full Chapters Due: October 6, 2024
Submission Date: October 6, 2024

Introduction

"Harnessing AI: Advancements in Control Engineering" delves into the transformative integration of artificial intelligence (AI) within the domain of control engineering. This comprehensive exploration navigates the burgeoning landscape of AI applications, from classical control methods to cutting-edge machine learning algorithms and nature-inspired optimization techniques. Through insightful analysis and real-world case studies, this book elucidates the symbiotic relationship between AI and control engineering, uncovering how AI techniques empower control systems to adapt, optimize, and evolve dynamically in response to complex environments and diverse objectives.

Objective

This book serves as a guiding light for practitioners, researchers, and students seeking to comprehend and leverage the profound impact of AI on control engineering. By elucidating the latest advancements and best practices, it empowers readers to harness the full potential of AI technologies to enhance system performance, resilience, and efficiency across a spectrum of industries. Moreover, by fostering a deeper understanding of AI-driven control systems, this book catalyzes innovation, propelling the field towards new frontiers of intelligent automation and autonomous decision-making.

Target Audience

Control engineers and practitioners: Professionals involved in designing, implementing, and optimizing control systems across various domains, including manufacturing, robotics, aerospace, and automotive industries. Researchers and academics: Scholars engaged in advancing the theoretical foundations and practical applications of AI in control engineering, spanning disciplines such as electrical engineering, computer science, and applied mathematics. Students and educators: Undergraduate and graduate students studying control systems, automation, and artificial intelligence, as well as educators seeking comprehensive resources for teaching and learning about the intersection of AI and control engineering.

Recommended Topics

- Classical Control Theory and Its Integration with AI. - Machine Learning Techniques for Control Systems. - Reinforcement Learning in Adaptive Control. - Neural Networks for Nonlinear Control Problems. - Fuzzy Logic Control and AI Fusion. - Nature-inspired Optimization Algorithms in Control Optimization. - Swarm Intelligence for Multi-Agent Systems. - Hybrid Control Systems: Integrating AI with Traditional Methods. - Deep Learning Approaches for Predictive Control. - AI-Based Fault Detection and Diagnosis. - Human-Machine Collaboration in Control Engineering. - Case Studies and Applications across Industries.

Submission Procedure

Researchers and practitioners are invited to submit on or before August 20, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by September 16, 2024 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 6, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Harnessing AI for Control Engineering. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

August 20, 2024: Proposal Submission Deadline
September 16, 2024: Notification of Acceptance
October 6, 2024: Full Chapter Submission
November 17, 2024: Review Results Returned
December 15, 2024: Final Acceptance Notification
December 22, 2024: Final Chapter Submission



Inquiries

Prof. Mohamed Arezki Mellal M'Hamed Bougara University, Algeria mellal.mohamed@univ-boumerdes.dz

Classifications


Computer Science and Information Technology; Physical Sciences and Engineering
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