{"product_id":"controller-design-for-industrial-applications-hardback-9781394287079","title":"Controller Design for Industrial Applications (Hardback) 9781394287079","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eController Design for Industrial Applications\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\"\u003eArindam Mondal (Edited by), Mondal (Author), Souvik Ganguli (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394287079, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 10 June 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e416 pages\u003cbr\u003e22.9 x 15.2 x 2.6 cm, 0.624 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\u003ci\u003e\u003cb\u003eController Design for Industrial Applications\u003c\/b\u003e\u003c\/i\u003e is essential for anyone looking to master the advanced techniques of intelligent controller design, enabling you to effectively tackle the complexities of modern industrial processes and optimize performance in an ever-evolving landscape. \u003c\/p\u003e\n\u003cp\u003eIndustrial processes are often complex and dynamic, making it challenging to design controllers that can maintain stable and optimal operation. Traditional controllers, such as PID controllers, have been widely used in industrial applications but have limitations in handling non-linear and uncertain systems. Intelligent controllers offer an alternative solution that can adapt to changing system dynamics and disturbances. The use of intelligent controllers in industrial applications has gained increasing attention in recent years, with numerous successful implementations in various fields, such as process control, robotics control, HVAC control, power systems control, and autonomous vehicle control. However, the design and implementation of intelligent controllers require careful consideration of hardware and software requirements, as well as simulation and testing procedures to ensure reliable and safe operation. \u003c\/p\u003e\n\u003cp\u003eIn the rapidly evolving industrial landscape, it is essential to develop advanced control techniques to enhance productivity, minimize costs, and ensure safety. Traditional control methods often struggle to handle complex systems and unpredictable environments. However, with the emergence of intelligent control techniques, there is a great opportunity to improve industrial automation and control systems. \u003ci\u003eController Design for Industrial Applications\u003c\/i\u003e aims to provide a comprehensive understanding of intelligent controller design for industrial applications, from theoretical concepts to practical implementation. It will cover the fundamental concepts of intelligent control theory and techniques, their application in various industrial fields, and practical implementation and design considerations.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Fuzzy Logic Control for Industrial Applications 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSrabanti Maji and Souvik Ganguli\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 The Evaluation of Fuzzy Logic Control: From Theory to Industrial Applications 4\u003c\/p\u003e \u003cp\u003e1.3 Basics of Fuzzy Logic Control: A Comprehensive Overview 6\u003c\/p\u003e \u003cp\u003e1.4 Merits of Fuzzy Logic Control 9\u003c\/p\u003e \u003cp\u003e1.5 Industrial Applications of Fuzzy Logic Control 13\u003c\/p\u003e \u003cp\u003e1.6 Discussions and Future Scope of Work 16\u003c\/p\u003e \u003cp\u003e1.7 Conclusions 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Artificial Neural Network for Industrial Applications 21\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBiswajit Saha and Gour Sundar Mitra Thakur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 22\u003c\/p\u003e \u003cp\u003e2.2 Neural Network Models for Industrial Applications 24\u003c\/p\u003e \u003cp\u003e2.3 Challenges and Limitations 31\u003c\/p\u003e \u003cp\u003e2.4 Industry Use Cases and a Sample Case Study 33\u003c\/p\u003e \u003cp\u003e2.5 Future Directions and Emerging Trends 35\u003c\/p\u003e \u003cp\u003e2.6 Conclusion 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Artificial Neural Network-Based Sliding Mode Controller for a Class of Nonlinear System 41\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSheetla Prasad, Rammurti Meena and Vipin Chandra Pal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 42\u003c\/p\u003e \u003cp\u003e3.2 Problem Formulation 44\u003c\/p\u003e \u003cp\u003e3.3 Artificial Neural Network Structure 46\u003c\/p\u003e \u003cp\u003e3.4 Neural Network Observer-Based SMC 47\u003c\/p\u003e \u003cp\u003e3.5 Simulation and Demonstrations 49\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Finite Control Set Model Predictive Control for Permanent Magnet Synchronous Motor Drives 55\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRavi Eswar Kodumur Meesala, Phani Teja Bankupalli and Chinta Praveen Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 56\u003c\/p\u003e \u003cp\u003e4.2 Mathematical Model of PMSM Drive 63\u003c\/p\u003e \u003cp\u003e4.3 Optimal Control Concepts of Finite Control Set Model Predictive Control (FCSMPC) 69\u003c\/p\u003e \u003cp\u003e4.4 Constraints in FCSMPC Operation 77\u003c\/p\u003e \u003cp\u003e4.5 Real-Time Implementation of FCSMPC for PMSM Drive 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Kinematic and Dynamic Modeling of Robots 89\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSuman Lata Tripathi and Deepika Ghai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 90\u003c\/p\u003e \u003cp\u003e5.2 Required Block for Robotic Model 91\u003c\/p\u003e \u003cp\u003e5.3 Robotic Arm Model 91\u003c\/p\u003e \u003cp\u003e5.4 Tool Description 93\u003c\/p\u003e \u003cp\u003e5.5 Methodology\/Design Steps 93\u003c\/p\u003e \u003cp\u003e5.6 Result and Discussion 96\u003c\/p\u003e \u003cp\u003e5.7 Applications and Future Scope 99\u003c\/p\u003e \u003cp\u003e5.8 Conclusion 101\u003c\/p\u003e \u003cp\u003e6 Design of FUZZY-(1+PD)-FOPID Controller for Hybrid Two-Area Power System 105\u003cbr\u003e\u003ci\u003eSusmit Chakraborty and Arindam Mondal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 106\u003c\/p\u003e \u003cp\u003e6.2 Plant Model 107\u003c\/p\u003e \u003cp\u003e6.3 Controller Design 107\u003c\/p\u003e \u003cp\u003e6.4 Tree-Seed Algorithm 112\u003c\/p\u003e \u003cp\u003e6.5 Result and Analysis 114\u003c\/p\u003e \u003cp\u003e6.6 Conclusion 120\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Design of MPC-TSA Controller for Hybrid Two-Area Power System 125\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSusmit Chakraborty and Arindam Mondal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 126\u003c\/p\u003e \u003cp\u003e7.2 Plant Model 127\u003c\/p\u003e \u003cp\u003e7.3 Model Predictive Controller 128\u003c\/p\u003e \u003cp\u003e7.4 Tree-Seed Algorithm 132\u003c\/p\u003e \u003cp\u003e7.5 Result and Analysis 134\u003c\/p\u003e \u003cp\u003e7.6 Conclusion 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Wide-Area Monitoring, Protection, Automation and Control (WAMPAC) System 141\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSanchita Kumari and Amrita Sinha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 142\u003c\/p\u003e \u003cp\u003e8.2 Blackouts 143\u003c\/p\u003e \u003cp\u003e8.3 Supervisory Control and Data Acquisition System 145\u003c\/p\u003e \u003cp\u003e8.4 Phasor Measurement Units (PMU) 149\u003c\/p\u003e \u003cp\u003e8.5 Intelligent Electronic Devices (IEDs) 157\u003c\/p\u003e \u003cp\u003e8.6 Communication Protocols 160\u003c\/p\u003e \u003cp\u003e8.7 Conclusions 162\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 An Efficient Smart Prepaid Interface Design for Power Industries 167\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAntara Kundu, Harsh Kumar Shaw and Maitrayee Chakrabarty\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 168\u003c\/p\u003e \u003cp\u003e9.2 Literature Survey 170\u003c\/p\u003e \u003cp\u003e9.3 Proposed System 178\u003c\/p\u003e \u003cp\u003e9.4 Industrial Designing Application for Power Systems Control 185\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 PV System Maximum Power Point Tracking Under Partial Shadowing Using Gray Wolf Optimization Algorithm 189\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSnehashis Ghoshal and Arindam Mondal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 189\u003c\/p\u003e \u003cp\u003e10.2 Analysis and Modeling of Solar PV Systems 190\u003c\/p\u003e \u003cp\u003e10.3 Impact of Partial Shading in a PV System 193\u003c\/p\u003e \u003cp\u003e10.4 Performance Optimization of Solar Panel During Partial Shading Condition 194\u003c\/p\u003e \u003cp\u003e10.5 Significance of MPPT in Partial Shading Conditions 196\u003c\/p\u003e \u003cp\u003e10.6 MPPT Techniques for Partially Shaded Scenario 197\u003c\/p\u003e \u003cp\u003e10.7 Simulation Result and Analysis 199\u003c\/p\u003e \u003cp\u003e10.8 Conclusion 207\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 An Efficient Optimization Approach for Solving the Relay Coordination Problem 211\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMaitrayee Chakrabarty, Sudipta Chakraborty, Suparna Pal and Raju Basak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 212\u003c\/p\u003e \u003cp\u003e11.2 Literature Survey 213\u003c\/p\u003e \u003cp\u003e11.3 Overview of the System 215\u003c\/p\u003e \u003cp\u003e11.4 Problem Formulation and Constraint Criterion 216\u003c\/p\u003e \u003cp\u003e11.5 Proposed PSO Algorithm 219\u003c\/p\u003e \u003cp\u003e11.6 Simulation Outcomes and Discussions 220\u003c\/p\u003e \u003cp\u003e11.7 Industrial Application Design Consideration 227\u003c\/p\u003e \u003cp\u003e11.8 Conclusion 228\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Intelligent Control for Energy-Efficient HVAC System Modeling and Control 233\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eR. Sanjeevi, J. Anuradha, Sandeep Tripathi and Prashantkumar B. Sathvara\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 234\u003c\/p\u003e \u003cp\u003e12.2 Challenge in HVAC System 236\u003c\/p\u003e \u003cp\u003e12.3 HVAC Control Applications 237\u003c\/p\u003e \u003cp\u003e12.4 Advanced Control Strategies Mentioned for HVAC Systems 238\u003c\/p\u003e \u003cp\u003e12.5 Energy Efficiency and Sustainability in HVAC System 241\u003c\/p\u003e \u003cp\u003e12.6 Human-Centric HVAC Control 246\u003c\/p\u003e \u003cp\u003e12.7 Indoor Environmental Quality 248\u003c\/p\u003e \u003cp\u003e12.8 Case Studies 249\u003c\/p\u003e \u003cp\u003e12.9 Conclusion 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Enhancing UAV Navigation in Partially Observable 2D Environments: An Optimized Obstacle Avoidance Approach 257\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJun Jet Tai and Swee King Phang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 258\u003c\/p\u003e \u003cp\u003e13.2 Background 259\u003c\/p\u003e \u003cp\u003e13.3 Overview of the Proposed Method 262\u003c\/p\u003e \u003cp\u003e13.4 Implementation and Deployment 270\u003c\/p\u003e \u003cp\u003e13.5 Results 270\u003c\/p\u003e \u003cp\u003e13.6 Conclusion 282\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Fast Inner and Outer Dynamics Control of Multi-Rotor UAVs with Novel SIPIC and RPT Controllers Design 287\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSwee King Phang and Jun Jet Tai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 288\u003c\/p\u003e \u003cp\u003e14.2 Dynamic Model of Quadrotor UAV 289\u003c\/p\u003e \u003cp\u003e14.3 Control Strategy for High-Speed Maneuver 294\u003c\/p\u003e \u003cp\u003e14.4 Simulation and Flight Results 302\u003c\/p\u003e \u003cp\u003e14.5 Conclusions 304\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Type 1 Cascaded Fuzzy Logic-Based Autonomous Vehicles Control Applications 309\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eEshan Samanta, Sagarika Pal and Anupam De\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 310\u003c\/p\u003e \u003cp\u003e15.2 Mathematical Kinematic Model 311\u003c\/p\u003e \u003cp\u003e15.3 Control Architectures for Autonomous Vehicles 314\u003c\/p\u003e \u003cp\u003e15.4 Perception and Sensor Fusion for Autonomous Navigation 315\u003c\/p\u003e \u003cp\u003e15.5 Intelligent Control for Path Planning and Collision Avoidance 316\u003c\/p\u003e \u003cp\u003e15.6 Case Studies of Intelligent Control in Autonomous Vehicles 324\u003c\/p\u003e \u003cp\u003e15.7 Conclusion 326\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 AI-Driven Electric Vehicle Integration for Sustainable Transportation 331\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eLoveneet Mishra, Usha Chauhan and Manasi Pattnaik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 332\u003c\/p\u003e \u003cp\u003e16.2 Overview of Electric Vehicle Charging 336\u003c\/p\u003e \u003cp\u003e16.3 Rate Control Oriented at the Power Grid 337\u003c\/p\u003e \u003cp\u003e16.4 Model of the System 339\u003c\/p\u003e \u003cp\u003e16.5 Future of AI-Enabled EV Charging 341\u003c\/p\u003e \u003cp\u003e16.6 Conclusion 346\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Wireless EV Charging System Design 351\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKoushik Majumder, Maitrayee Chakrabarty, Rakesh Das and Raju Basak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 352\u003c\/p\u003e \u003cp\u003e17.2 Literature Survey 353\u003c\/p\u003e \u003cp\u003e17.3 Problem Statement 356\u003c\/p\u003e \u003cp\u003e17.4 Methodology 357\u003c\/p\u003e \u003cp\u003e17.5 Principle of WPT 359\u003c\/p\u003e \u003cp\u003e17.6 Advantages 359\u003c\/p\u003e \u003cp\u003e17.7 WPT Method 360\u003c\/p\u003e \u003cp\u003e17.8 Performance Analysis for Three Case Studies 370\u003c\/p\u003e \u003cp\u003e17.9 Proposed Method for Power Source by Renewable Energy Source 371\u003c\/p\u003e \u003cp\u003e17.10 Future Scope for Contactless Power Transfer Method 372\u003c\/p\u003e \u003cp\u003e17.11 Conclusion 372\u003c\/p\u003e \u003cp\u003eReferences 373\u003c\/p\u003e \u003cp\u003eIndex 375\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\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":52433291837720,"sku":"9781394287079","price":144.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394287079.jpg?v=1784853171","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/controller-design-for-industrial-applications-hardback-9781394287079","provider":"Freshly Printed Books","version":"1.0","type":"link"}