Computational Intelligence in Mechatronics: Solving Real-World Problems in Electronic Systems Design provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, the book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, readers will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.
From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics.
1. Cover image - p. c 2. Title page - p. i 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xvii 6. Chapter 1 Study of an underwater vehicle hybrid propulsion based on a fuel cell - p. 1 7. Chapter 2 Hybrid ant colony optimization algorithms for solving dynamic capacitated vehicle routing problem in Kufa-Iraq waste collection system - p. 17 8. Chapter 3 Model for the diagnosis and management of Alzheimer's disease and mild cognitive impairment - p. 43 9. Chapter 4 Neural network algorithms for AR-models identification reaching Huber-Rao-Cramer bound under quasi-Gaussian noise - p. 55 10. Chapter 5 Design, Development, and Control of a Pneumatically Actuated Lower Limb Exoskeleton - p. 67 11. Chapter 6 Nature-inspired algorithms for active power loss reduction in electrical power transmission system - p. 83 12. Chapter 7 Vision inspection system for butterfly valves - p. 99 13. Chapter 8 Adaptive neural network–based resilient control for telerobotic systems with input saturation and time-varying delays - p. 107 14. Chapter 9 A comprehensive review and novel applications of hybrid computational techniques for embedded system optimization - p. 121 15. Chapter 10 The Advancement of Robotics in the Mechatronics World and Construction Projects - p. 139 16. Chapter 11 Application of artificial intelligence in high-frequency circuit design - p. 173 17. Chapter 12 Bearing fault diagnosis via QPSO algorithm under strong noise background and complex variable speed conditions - p. 217 18. Chapter 13 Classification of gray zone on PCB using Bayesian optimization-random forest method - p. 237 19. Chapter 14 Estimation of PID parameters for vertical motion of a robot arm using by GTO-LSTM method - p. 245 20. Chapter 15 Mechatronic design and implementation of a modular multiagent robotic system with a coupling mechanism for collaborative object transportation - p. 253 21. Chapter 16 The role of UAVs in wildlife monitoring: A case study of conservation efforts - p. 279 22. Chapter 17 Impact evaluation, modeling, and optimization of machining features of heat-treated and non-heat-treated X40CrMoV51 alloy in PMEDM process by GRA and NSGA II-EAMR algorithms - p. 297 23. Chapter 18 Mechatronic system design and optimization - p. 321 24. Chapter 19 Leveraging convolutional neural networks for sentiment analysis on social media content - p. 329 25. Chapter 20 A compact square shaped dielectric resonator antenna used for early diagnosis of breast tumor - p. 341 26. Chapter 21 Aerosol-induced visibility reduction: Mechanisms, health impacts, and enhanced imaging techniques - p. 349 27. Chapter 22 Artificial neural networks in mechatronics - p. 359 28. Chapter 23 Monostatic radar–based microwave imaging of breast cancer detection - p. 373 29. Chapter 24 Artificial intelligence methods for mechatronics: Enhancing functionality and efficiency - p. 381 30. Chapter 25 A review of soft pneumatic actuator applications in real-world engineering challenges - p. 401 31. Chapter 26 Some aspects of sensitivity analysis of induction generator for wind power applications - p. 417 32. Chapter 27 Study of methods for improving the reliability of passively redundant aircraft subsystems taking into account tolerances - p. 427 33. Chapter 28 Design and implementation of a smart pillbox system: Integrating IoT, chatbot AI, and real-time mobile monitoring for enhanced healthcare - p. 439 34. Chapter 29 Toward sustainable and reliable hybrid vehicles: Fault diagnosis of permanent magnet motors using FEM and advanced analysis - p. 459 35. Chapter 30 AI-driven self-healing calibration through digital twin verification and reinforcement learning - p. 479 36. Chapter 31 Intelligent remote actuation and control strategies for electrical tilt systems - p. 495 37. Chapter 32 Novel approach on optimizing MPPT using IC and PID controller - p. 503 38. Chapter 33 Optimal UAV design configuration with multiple-choice components using PSO and GWO - p. 509 39. Chapter 34 Future trends and research directions in automation of mechatronic control software engineering - p. 535 40. Chapter 35 Machine learning and artificial intelligence on HPC platforms for mechanical design—A review - p. 547 41. Index - p. 559
Computational Intelligence in Mechatronics: Solving Real-World Problems in Electronic Systems Design provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, the book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, readers will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.
From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics.
1. Cover image - p. c 2. Title page - p. i 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xvii 6. Chapter 1 Study of an underwater vehicle hybrid propulsion based on a fuel cell - p. 1 7. Chapter 2 Hybrid ant colony optimization algorithms for solving dynamic capacitated vehicle routing problem in Kufa-Iraq waste collection system - p. 17 8. Chapter 3 Model for the diagnosis and management of Alzheimer's disease and mild cognitive impairment - p. 43 9. Chapter 4 Neural network algorithms for AR-models identification reaching Huber-Rao-Cramer bound under quasi-Gaussian noise - p. 55 10. Chapter 5 Design, Development, and Control of a Pneumatically Actuated Lower Limb Exoskeleton - p. 67 11. Chapter 6 Nature-inspired algorithms for active power loss reduction in electrical power transmission system - p. 83 12. Chapter 7 Vision inspection system for butterfly valves - p. 99 13. Chapter 8 Adaptive neural network–based resilient control for telerobotic systems with input saturation and time-varying delays - p. 107 14. Chapter 9 A comprehensive review and novel applications of hybrid computational techniques for embedded system optimization - p. 121 15. Chapter 10 The Advancement of Robotics in the Mechatronics World and Construction Projects - p. 139 16. Chapter 11 Application of artificial intelligence in high-frequency circuit design - p. 173 17. Chapter 12 Bearing fault diagnosis via QPSO algorithm under strong noise background and complex variable speed conditions - p. 217 18. Chapter 13 Classification of gray zone on PCB using Bayesian optimization-random forest method - p. 237 19. Chapter 14 Estimation of PID parameters for vertical motion of a robot arm using by GTO-LSTM method - p. 245 20. Chapter 15 Mechatronic design and implementation of a modular multiagent robotic system with a coupling mechanism for collaborative object transportation - p. 253 21. Chapter 16 The role of UAVs in wildlife monitoring: A case study of conservation efforts - p. 279 22. Chapter 17 Impact evaluation, modeling, and optimization of machining features of heat-treated and non-heat-treated X40CrMoV51 alloy in PMEDM process by GRA and NSGA II-EAMR algorithms - p. 297 23. Chapter 18 Mechatronic system design and optimization - p. 321 24. Chapter 19 Leveraging convolutional neural networks for sentiment analysis on social media content - p. 329 25. Chapter 20 A compact square shaped dielectric resonator antenna used for early diagnosis of breast tumor - p. 341 26. Chapter 21 Aerosol-induced visibility reduction: Mechanisms, health impacts, and enhanced imaging techniques - p. 349 27. Chapter 22 Artificial neural networks in mechatronics - p. 359 28. Chapter 23 Monostatic radar–based microwave imaging of breast cancer detection - p. 373 29. Chapter 24 Artificial intelligence methods for mechatronics: Enhancing functionality and efficiency - p. 381 30. Chapter 25 A review of soft pneumatic actuator applications in real-world engineering challenges - p. 401 31. Chapter 26 Some aspects of sensitivity analysis of induction generator for wind power applications - p. 417 32. Chapter 27 Study of methods for improving the reliability of passively redundant aircraft subsystems taking into account tolerances - p. 427 33. Chapter 28 Design and implementation of a smart pillbox system: Integrating IoT, chatbot AI, and real-time mobile monitoring for enhanced healthcare - p. 439 34. Chapter 29 Toward sustainable and reliable hybrid vehicles: Fault diagnosis of permanent magnet motors using FEM and advanced analysis - p. 459 35. Chapter 30 AI-driven self-healing calibration through digital twin verification and reinforcement learning - p. 479 36. Chapter 31 Intelligent remote actuation and control strategies for electrical tilt systems - p. 495 37. Chapter 32 Novel approach on optimizing MPPT using IC and PID controller - p. 503 38. Chapter 33 Optimal UAV design configuration with multiple-choice components using PSO and GWO - p. 509 39. Chapter 34 Future trends and research directions in automation of mechatronic control software engineering - p. 535 40. Chapter 35 Machine learning and artificial intelligence on HPC platforms for mechanical design—A review - p. 547 41. Index - p. 559
