Computational Intelligent Techniques in Mechatronics

Kolla Bhanu Prakash, Satish Kumar Peddapelli, Ivan C. K. Tam, Wai Lok Woo, Vishal Jain

• Publisher: Wiley-Scrivener
• Year: 2024
• Print ISBN: 9781394174645
• eBook ISBN: 9781394175420
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Quality Control in Engineering
• Index: Technology & Engineering

This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential.

Mechatronics has been a revolutionary force in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly and comprehensively the engineering design process at different stages. As the historical divisions between the various branches of engineering and computer science become less clearly defined, mechatronics may provide a roadmap for nontraditional engineering students studying within the traditional university structure. This book covers all the algorithms and techniques found in mechatronics engineering, well explained with real-time examples, especially lab experiments that will be very informative to students and scholars.

Audience

This resource is important for R & D departments in academia, government, and industry. It will appeal to mechanical engineers, electronics engineers, computer scientists, robotics engineers, professionals in manufacturing, automation and related industries, as well as innovators and entrepreneurs.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 AI in Mechatronics
• Chapter 2 Thermodynamics for Mechatronics
• Chapter 3 Role of Data Acquisition, Sensors, and Actuators in Mechatronics Industry
• Chapter 4 Optimization Techniques for Mechatronics: A Comprehensive Review and Future Directions
• Chapter 5 Reinforcement Learning for Adaptive Mechatronics Systems
• Chapter 6 Application of PLC in the Mechatronics Industry
• Chapter 7 Fuzzy Logic and Its Applications in Mechatronic Control Systems
• Chapter 8 Drones and Autonomous Robotics Incorporating Computational Intelligence
• Chapter 9 Exploring the Convergence of Artificial Intelligence and Mechatronics in Autonomous Driving
• Chapter 10 Improving Power Quality for Industry Control Using Mechatronics Devices
• Chapter 11 Study on Integrated Neural Networks and Fuzzy Logic Control for Autonomous Electric Vehicles
• Chapter 12 Advancing Mechatronics Through Artificial Intelligence
• Chapter 13 Computational Intelligent Techniques in Mechatronics: Emerging Trends and Case Studies
• Chapter 14 Advanced Sensing Systems in Automobiles: Computational Intelligence Approach
• Chapter 15 Design of Arduino UNO–Based Novel Multi-Featured Robot
• Chapter 16 Integrating Mechatronics in Autonomous Agricultural Machinery: A Case Study
• Index
• Also of Interest
• EULA