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Intelligent Mechatronic Control Systems / edited by Aydin Azizi.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Azizi, Aydin.
Contributor:
Azizi
Series:
Emerging Trends in Mechatronics, 2731-4863
Language:
English
Subjects (All):
Automatic control.
Robotics.
Automation.
Artificial intelligence.
Neural networks (Computer science).
Control, Robotics, Automation.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Local Subjects:
Control, Robotics, Automation.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Physical Description:
1 online resource (286 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book presents cutting-edge research and practical innovations in the field of mechatronic systems, particularly focusing on intelligent mechatronic control systems. It addresses both theoretical foundations and real-world applications, ranging from artificial intelligence and hybrid energy systems to diagnostics, robotics, and control strategies. This book offers a substantial contribution to the academic and engineering community, fostering future advancements and collaborative research opportunities.
Contents:
Design of an Artificial Intelligence-based Controller for Stationary Battery Packs
Modelling and control of a robotic arm utilizing artificial neural networks
Design an MRC/Fuzzy Logic Controller to control an Active Suspension
Study and Optimisation of Electric Torque Vectoring System in an FSAE Race Car
Design and analysis of Fuzzy Logic Controlled Active Suspension
Design a fuzzy logic controller for an active suspension system
The Project-Based Learning Approach: A Case Study on the Design of the Advanced Engineering Module to Meet Industry 5.0 Requirements
An Application on Performance Analysis of Fibonacci and Golden Ratio Algorithms in Root Finding Methods
Improved Positioning of an Unmanned Vehicle by Distance-Based Differential GPS
Water Level Tracking System by Using Online Arduino.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9539-25-0
9789819539253
OCLC:
1565349843

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