{"product_id":"computational-intelligent-techniques-in-mechatronics-hardback-9781394174645","title":"Computational Intelligent Techniques in Mechatronics (Hardback) 9781394174645","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eComputational Intelligent Techniques in Mechatronics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eKolla Bhanu Prakash (Edited by), Prakash (Author), Satish Kumar Peddapelli (Edited by), Ivan C. K. Tam (Edited by), Wai Lok Woo (Edited by), Vishal Jain (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394174645, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 19 September 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e22.9 x 15.2 x 3.2 cm, 1.043 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThis 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.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eMechatronics 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. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThis resource is important for R \u0026amp; 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 AI in Mechatronics 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVansh Gehlot and Prashant Singh Rana\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction to AI Techniques for Mechatronics 2\u003c\/p\u003e \u003cp\u003e1.2 Machine Learning for Mechatronic Systems 5\u003c\/p\u003e \u003cp\u003e1.3 Computer Vision for Mechatronic Perception 9\u003c\/p\u003e \u003cp\u003e1.4 Soft Computing Techniques 13\u003c\/p\u003e \u003cp\u003e1.5 AI Planning and Decision-Making 16\u003c\/p\u003e \u003cp\u003e1.6 Natural Language Interaction 19\u003c\/p\u003e \u003cp\u003e1.7 AI in Mechatronic System Design 21\u003c\/p\u003e \u003cp\u003e1.8 Challenges and Future Outlook 26\u003c\/p\u003e \u003cp\u003e1.9 Artificial General Intelligence (AGI) 30\u003c\/p\u003e \u003cp\u003e1.10 Conclusion 35\u003c\/p\u003e \u003cp\u003eReferences 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Thermodynamics for Mechatronics 41\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eYadav Krishnakumar Rajnath, Shrikant Tiwari and Virendra Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 42\u003c\/p\u003e \u003cp\u003e2.2 Defining Mechatronics and Its Interdisciplinary Nature 43\u003c\/p\u003e \u003cp\u003e2.3 Fundamentals of Thermodynamics for Mechatronics 46\u003c\/p\u003e \u003cp\u003e2.4 Enhancing Efficiency in Mechatronics Through Thermodynamics 52\u003c\/p\u003e \u003cp\u003e2.5 Sustainability and Thermodynamics in Mechatronics 58\u003c\/p\u003e \u003cp\u003e2.6 Innovative Applications and Future Trends 66\u003c\/p\u003e \u003cp\u003e2.7 Educational and Professional Implications 72\u003c\/p\u003e \u003cp\u003eReferences 79\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Role of Data Acquisition, Sensors, and Actuators in Mechatronics Industry 83\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarpreet Kaur Channi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 84\u003c\/p\u003e \u003cp\u003e3.2 Literature Survey 86\u003c\/p\u003e \u003cp\u003e3.3 Fundamentals of Data Acquisition 87\u003c\/p\u003e \u003cp\u003e3.4 Coordination and Synchronization in Mechatronic Systems 94\u003c\/p\u003e \u003cp\u003e3.5 Industrial Automation and Robotics 95\u003c\/p\u003e \u003cp\u003e3.6 Technical Challenges in Integration and Compatibility 97\u003c\/p\u003e \u003cp\u003e3.7 Future Trends and Implications 100\u003c\/p\u003e \u003cp\u003e3.8 Conclusion 102\u003c\/p\u003e \u003cp\u003eReferences 103\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Optimization Techniques for Mechatronics: A Comprehensive Review and Future Directions 109\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eIkvinderpal Singh and Sapandeep Kaur Dhillon\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 110\u003c\/p\u003e \u003cp\u003e4.2 Related Work 111\u003c\/p\u003e \u003cp\u003e4.3 Optimization in Mechatronics Design 113\u003c\/p\u003e \u003cp\u003e4.4 Optimization in Mechatronics Control 116\u003c\/p\u003e \u003cp\u003e4.5 Optimization in Mechatronics Manufacturing 118\u003c\/p\u003e \u003cp\u003e4.6 Multi-Objective Optimization in Mechatronics 121\u003c\/p\u003e \u003cp\u003e4.7 Real-Time Optimization for Mechatronics 123\u003c\/p\u003e \u003cp\u003e4.8 Challenges in Optimization for Mechatronics 126\u003c\/p\u003e \u003cp\u003e4.9 Opportunities in Optimization for Mechatronics 127\u003c\/p\u003e \u003cp\u003e4.10 Future Directions in Optimization for Mechatronics 128\u003c\/p\u003e \u003cp\u003e4.11 Conclusion 130\u003c\/p\u003e \u003cp\u003eReferences 132\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Reinforcement Learning for Adaptive Mechatronics Systems 135\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. Sathya, G. Saravanan and R. Thangamani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction to Adaptive Mechatronics Systems 136\u003c\/p\u003e \u003cp\u003e5.2 Fundamentals of Reinforcement Learning 139\u003c\/p\u003e \u003cp\u003e5.3 Reinforcement Learning Algorithms for Mechatronics 142\u003c\/p\u003e \u003cp\u003e5.4 Adaptive Control Strategies in Mechatronics 144\u003c\/p\u003e \u003cp\u003e5.5 Autonomous Decision-Making in Mechatronics 147\u003c\/p\u003e \u003cp\u003e5.6 Optimization and Energy Efficiency in Mechatronics 149\u003c\/p\u003e \u003cp\u003e5.7 Safety and Robustness in Reinforcement Learning 153\u003c\/p\u003e \u003cp\u003e5.8 Real-World Applications and Case Studies 155\u003c\/p\u003e \u003cp\u003e5.9 Challenges and Future Directions 174\u003c\/p\u003e \u003cp\u003e5.10 Ethical and Societal Implications 176\u003c\/p\u003e \u003cp\u003e5.11 Conclusion 178\u003c\/p\u003e \u003cp\u003eReferences 179\u003c\/p\u003e \u003cp\u003eFurther Reading 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Application of PLC in the Mechatronics Industry 185\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarpreet Kaur Channi, Pulkit Kumar and Arvind Dhingra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 186\u003c\/p\u003e \u003cp\u003e6.2 Role of PLC in Mechatronics System Integration 191\u003c\/p\u003e \u003cp\u003e6.3 PLC Applications in Mechatronics Industry 195\u003c\/p\u003e \u003cp\u003e6.4 PLC in Mechatronics System Design 197\u003c\/p\u003e \u003cp\u003e6.5 Safety in Mechatronics Systems 199\u003c\/p\u003e \u003cp\u003e6.6 Case Studies for Mechatronics Systems Using PLCs 202\u003c\/p\u003e \u003cp\u003e6.7 Challenges and Future Trends 204\u003c\/p\u003e \u003cp\u003e6.8 Conclusion 206\u003c\/p\u003e \u003cp\u003eReferences 207\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Fuzzy Logic and Its Applications in Mechatronic Control Systems 211\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. Sathya, G. Saravanan and R. Thangamani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 212\u003c\/p\u003e \u003cp\u003e7.2 Fuzzy Control Systems 215\u003c\/p\u003e \u003cp\u003e7.3 Fuzzy Logic Applications in Mechatronic Control Systems 220\u003c\/p\u003e \u003cp\u003e7.4 Fuzzy Expert Systems in Mechatronics 221\u003c\/p\u003e \u003cp\u003e7.5 Fuzzy Logic and Machine Learning in Mechatronics 223\u003c\/p\u003e \u003cp\u003e7.6 Fuzzy Control in Multivariable Mechatronic Systems 227\u003c\/p\u003e \u003cp\u003e7.7 Industrial Automation and Fuzzy Logic 230\u003c\/p\u003e \u003cp\u003e7.8 Challenges and Future Directions 233\u003c\/p\u003e \u003cp\u003e7.9 Conclusion 235\u003c\/p\u003e \u003cp\u003eReferences 236\u003c\/p\u003e \u003cp\u003eFurther Reading 237\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Drones and Autonomous Robotics Incorporating Computational Intelligence 243\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eR. Thangamani, R. K. Suguna and G. K. Kamalam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 244\u003c\/p\u003e \u003cp\u003e8.2 Literature Review 248\u003c\/p\u003e \u003cp\u003e8.3 Navigation and Path Planning 252\u003c\/p\u003e \u003cp\u003e8.4 Perception and Object Detection 258\u003c\/p\u003e \u003cp\u003e8.5 Adaptive Control and Decision-Making 265\u003c\/p\u003e \u003cp\u003e8.6 Swarm Robotics and Multi-Agent Systems 266\u003c\/p\u003e \u003cp\u003e8.7 Autonomous Drone Delivery Systems 270\u003c\/p\u003e \u003cp\u003e8.8 Human–Robot Interaction and Collaboration 277\u003c\/p\u003e \u003cp\u003e8.9 Future Trends and Challenges 284\u003c\/p\u003e \u003cp\u003e8.10 Ethical Implications of Autonomous Robotics and Drones 289\u003c\/p\u003e \u003cp\u003e8.11 Conclusion 293\u003c\/p\u003e \u003cp\u003eReferences 294\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Exploring the Convergence of Artificial Intelligence and Mechatronics in Autonomous Driving 297\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRitika Wason, Parul Arora, Vishal Jain, Devansh Arora and M. N. Hoda\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 297\u003c\/p\u003e \u003cp\u003e9.2 Key Components of Advanced Driver Systems 301\u003c\/p\u003e \u003cp\u003e9.3 Current State of AI-Enabled Self-Driving Mechatronics 303\u003c\/p\u003e \u003cp\u003e9.4 Challenges in Self-Driving Mechatronics 305\u003c\/p\u003e \u003cp\u003e9.5 Advantages of Self-Driving Mechatronics 307\u003c\/p\u003e \u003cp\u003e9.6 Self-Driving and Environmental Sustainability 308\u003c\/p\u003e \u003cp\u003e9.7 Legal and Safety Issues in Autonomous Driving 310\u003c\/p\u003e \u003cp\u003e9.8 Conclusion 310\u003c\/p\u003e \u003cp\u003e9.9 Future Directions in Self-Driving Mechatronics 313\u003c\/p\u003e \u003cp\u003eReferences 313\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Improving Power Quality for Industry Control Using Mechatronics Devices 317\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePulkit Kumar, Harpreet Kaur Channi and Surbhi Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 318\u003c\/p\u003e \u003cp\u003e10.2 Power Quality in Industrial Settings 322\u003c\/p\u003e \u003cp\u003e10.3 Mechatronics Devices for Power Quality Improvement 324\u003c\/p\u003e \u003cp\u003e10.4 Case Studies of Mechatronics Devices in Industry Control 330\u003c\/p\u003e \u003cp\u003e10.5 Integration of Mechatronics Devices in Industrial Control Systems 333\u003c\/p\u003e \u003cp\u003e10.6 Future Trends and Innovations in Mechatronics for Power Quality Improvement 337\u003c\/p\u003e \u003cp\u003e10.7 Conclusion 342\u003c\/p\u003e \u003cp\u003eReferences 342\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Study on Integrated Neural Networks and Fuzzy Logic Control for Autonomous Electric Vehicles 347\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eS. Boopathi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 348\u003c\/p\u003e \u003cp\u003e11.2 Fundamentals of Neural Networks and Fuzzy Logic 351\u003c\/p\u003e \u003cp\u003e11.3 Autonomous Electric Vehicles: Challenges and Control Requirements 354\u003c\/p\u003e \u003cp\u003e11.4 Neural Network–Based Control for Autonomous Electric Vehicles 357\u003c\/p\u003e \u003cp\u003e11.5 Fuzzy Logic Control for Energy-Efficient Driving 361\u003c\/p\u003e \u003cp\u003e11.6 Integration of Neural Networks and Fuzzy Logic for Enhanced Autonomy 367\u003c\/p\u003e \u003cp\u003e11.7 Case Studies and Applications 372\u003c\/p\u003e \u003cp\u003e11.8 Future Prospects and Challenges 374\u003c\/p\u003e \u003cp\u003e11.9 Conclusions 375\u003c\/p\u003e \u003cp\u003eList of Abbreviations 375\u003c\/p\u003e \u003cp\u003eReferences 375\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Advancing Mechatronics Through Artificial Intelligence 381\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePawan Whig, Jhansi Bharathi Madavarapu, Venugopal Reddy Modhugu, Balaram Yadav Kasula and Ashima Bhatnagar Bhatia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 381\u003c\/p\u003e \u003cp\u003e12.2 Foundations of Mechatronics and Artificial Intelligence 386\u003c\/p\u003e \u003cp\u003e12.3 Synergies Between Artificial Intelligence and Mechatronics 388\u003c\/p\u003e \u003cp\u003e12.4 Case Studies: AI-Driven Advances in Mechatronics 390\u003c\/p\u003e \u003cp\u003e12.5 Challenges and Opportunities 392\u003c\/p\u003e \u003cp\u003e12.6 Future Directions and Trends 395\u003c\/p\u003e \u003cp\u003e12.7 Conclusion 397\u003c\/p\u003e \u003cp\u003e12.8 Future Scope 398\u003c\/p\u003e \u003cp\u003eReferences 398\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Computational Intelligent Techniques in Mechatronics: Emerging Trends and Case Studies 401\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Bright Keswani and Sasmita Nayak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction to Mechatronics and Computational Intelligence 402\u003c\/p\u003e \u003cp\u003e13.2 Artificial Neural Networks (ANNs) in Mechatronics 403\u003c\/p\u003e \u003cp\u003e13.3 Reinforcement Learning in Mechatronics 407\u003c\/p\u003e \u003cp\u003e13.4 Evolutionary Algorithms for Mechatronic System Design 412\u003c\/p\u003e \u003cp\u003e13.5 Emerging Trends in Mechatronics with Computational Intelligence 419\u003c\/p\u003e \u003cp\u003e13.6 Real-World Case Studies 427\u003c\/p\u003e \u003cp\u003e13.7 Conclusion 439\u003c\/p\u003e \u003cp\u003eReferences 441\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Advanced Sensing Systems in Automobiles: Computational Intelligence Approach 445\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMamta B. Savadatti and Ajay Sudhir Bale\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 445\u003c\/p\u003e \u003cp\u003e14.2 Computational Intelligence Approach 447\u003c\/p\u003e \u003cp\u003e14.3 Methodology 463\u003c\/p\u003e \u003cp\u003e14.4 Conclusions 466\u003c\/p\u003e \u003cp\u003eReferences 467\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Design of Arduino UNO–Based Novel Multi-Featured Robot 471\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJaspinder Kaur, Rohit Anand, Nidhi Sindhwani, Ajay Kumar Sharma and Vishal Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 472\u003c\/p\u003e \u003cp\u003e15.2 Design Implementation 473\u003c\/p\u003e \u003cp\u003e15.3 Proposed Model 477\u003c\/p\u003e \u003cp\u003e15.4 Process and Working Methodology 478\u003c\/p\u003e \u003cp\u003e15.5 Experiment and Applications 482\u003c\/p\u003e \u003cp\u003e15.6 Conclusion 484\u003c\/p\u003e \u003cp\u003e15.7 Future Scope 485\u003c\/p\u003e \u003cp\u003eAcknowledgments 485\u003c\/p\u003e \u003cp\u003eReferences 485\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Integrating Mechatronics in Autonomous Agricultural Machinery: A Case Study 491\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eN. V. Suresh, Ananth Selvakumar, Gajalakshmi Sridhar and Vishal Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 492\u003c\/p\u003e \u003cp\u003e16.2 Case Background 493\u003c\/p\u003e \u003cp\u003e16.3 Literature Review 495\u003c\/p\u003e \u003cp\u003e16.4 Methodology 496\u003c\/p\u003e \u003cp\u003e16.5 Implementation 498\u003c\/p\u003e \u003cp\u003e16.6 Findings 501\u003c\/p\u003e \u003cp\u003e16.7 Suggestion 502\u003c\/p\u003e \u003cp\u003e16.8 Conclusion 504\u003c\/p\u003e \u003cp\u003eReferences 505\u003c\/p\u003e \u003cp\u003eIndex 509\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mechanical engineering \u0026amp; materials [\u003ca title=\"See our other books on Mechanical engineering \u0026amp; materials\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mechanical%20engineering%20\u0026amp;%20materials%20%5BTG%5D%22\"\u003eTG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52431056142616,"sku":"9781394174645","price":145.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394174645.jpg?v=1784770152","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/computational-intelligent-techniques-in-mechatronics-hardback-9781394174645","provider":"Freshly Printed Books","version":"1.0","type":"link"}