Intelligent Algorithms for Analysis and Control of Dynamical Systems (eBook, PDF)

Redaktion: Kumar, Rajesh; Mathur, Akhilesh; Singh, V. P.

• Format: PDF

Produktbeschreibung

This book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and control purposes. The applications of intelligent algorithm vary from approximation to optimal control design. The applications of intelligent algorithms not only improve understanding of a dynamical system but also enhance the control efficacy. The intelligent algorithms are now readily applied to all fields of control including linear control, nonlinear control, digital control, optimal control, etc. The book also discusses the main benefits attained due to the application of algorithms to analyze and control.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 197
• Erscheinungstermin: 31. Oktober 2020
• Englisch
• ISBN-13: 9789811580451
• Artikelnr.: 60481606

Autorenporträt

Dr. Rajesh Kumar: Dr. Rajesh Kumar received the Bachelor of Technology in Engineering degree with honors in Electrical Engineering from the Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India, in 1994, Master of Engineering with honors in Power Engineering from the Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India, in 1997, and Ph.D. degree in Intelligent Systems from the Department of Electrical Engineering, Malaviya National Institute of Technology (MREC, University of Rajasthan), India, in 2005. He is currently Professor at the Department of Electrical Engineering; Adjunct Professor at Centre of Energy and Environment at Malaviya National Institute of Technology, Jaipur, India. He has been a Research Fellow (A) at the Department of Electrical and Computer Engineering at National University of Singapore from 2009 to 2011. He has been Reader from 2005 to 2009, Senior Lecturer from 2000 to 2005 and Lecturer from 1995 to 2000 at the Department of Electrical Engineering, Malaviya National Institute of Technology. He is the Founder of ZINE student innovative group. His background is in the fields of computational intelligence, artificial intelligence, intelligent systems, power and energy management, robotics, bioinformatics, smart grid and computer vision. Dr. Kumar research interests focus on intelligent systems, machine intelligence, power management, smart grid and robotics. Dr. Kumar has published over 500 research articles, has supervised 20 Ph.D. and more than 30 M.Tech. thesis. He has 12 patents to his name. He has delivered more than 100 expert talks in various conferences and workshops. He received 03 academic awards, 12 best paper awards, 06 best thesis awards, 04 professional awards and 25 student awards. He has received the Career Award for Young Teachers in 2002 from the Government of India. He is on 12 Journal Editorial Boards. He is an Associate Editorof IEEE Access, Associate Editor, Swarm and Evolutionary Computation, Elsevier, Associate Editor, IET Renewable and Power Generation, Associate Editor, International Journal of Bio Inspired Computing, and Associate Editor, CAAI Transactions on Intelligence Technology, IET. Dr. Kumar is a Senior Member of IEEE (USA), Fellow of IET (UK), Fellow of IE (INDIA), Fellow of IETE, Life Member of CSI, Senior Member of IEANG and Life Member of ISTE. He was Honorary Secretary of IETE Rajasthan Chapter, Excom IEEE Delhi PES-IAS, and Vice Chairman of IEEE Rajasthan Subsection. Dr. V. P. Singh: Dr. V. P. Singh graduated from Uttar Pradesh Technical University, Lucknow, India, in 2007 with B.Tech. degree in Electrical Engineering. He received M.Tech. degree in Control and Instrumentation and Ph.D. degree in Electrical Engineering in 2009 and 2013, respectively, from Motilal Nehru National Institute of Technology, Allahabad, India. Currently, he is working as Assistant Professor at MalaviyaNational Institute of Technology, Jaipur, India. Prior to joining Malaviya National Institute of Technology, Jaipur, India, he was Assistant Professor at National Institute of Technology Raipur, India. His research interests include system modeling, model order reduction and applications of optimization. Dr. Akhilesh Mathur: Dr. Akhilesh Mathur received the B.E. degree in Electrical Engineering from the Rajasthan University, Rajasthan, India, in 2007 and the M.Tech. degree in Electrical Engineering from IIT Roorkee, Roorkee, India, in 2010 with majors in power system. He received his Ph.D. degree at IIT Roorkee, Roorkee, India, in the stream of Electrical Engineering in 2018. He is currently working as an Assistant Professor in the Department of Electrical Engineering at MNIT Jaipur, Jaipur, India. His research interests include energy planning of smart grid, load flow and short-circuit analysis of unbalanced distribution systems with inverter-based distributed generation, optimal operation of distributed generations and planning of microgrids. 

Inhaltsangabe

Chapter 1. Improving Transient Response of Cuk Converters Using Artificial Neural Network Based Controller.- Chapter 2. Global Best Guided Crow Search Algorithm for Optimization Problems.- Chapter 3. Artificial Intelligent based Sliding mode Controller for State Feedback Discrete-time System.- Chapter 4.A Comparative Study of Four Genetic Algorithm based Crossover Operators for Solving Travelling Salesman Problem.- Chapter 5. Modified Eigen Permutation Based Model Simplification of LTI Systems using Evolutionary Algorithm.- Chapter 6. A Mixed Approach for Model Reduction Using Differential Evolution and Eigen Permutation.- Chapter 7. Simulation Studies of Inverted Pendulum Based on VSC Using Whale Optimization Algorithm.- Chapter 8. Vision Based Fault Detection and Parameter Identification for Flight Control Law Reconfiguration.- Chapter 9. Development of Hardware-in-the-Loop Test Bench for Automation of After-Treatment Control Systems Tests.- Chapter 10. Intelligent Control System forWater Pollutant Monitoring using ANN And Fuzzy Logic.