Communication and Control for Robotic Systems

Inbunden, Engelska, 2021

Del i serien Smart Innovation, Systems and Technologies

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Beskrivning

This book is a collection of high-quality research articles. The book includes topics specific to the emerging areas of control for robotic systems, wireless communication, and development of embedded systems for robotic applications. The book integrates three important aspects of automation, namely (i) communication, (ii) control, and (iii) embedded design for robotic applications. This book is unique as it provides a unified framework for analysis, design, and deployment of the robotic applications across various engineering and non-engineering disciplines including the three primary aspects mentioned above. Furthermore, the emerging research and development work pertaining to the deployment of intelligent, nonlinear, and embedded control for robotic system for non-standard operating environment due to the widespread application of robotics technology for societal benefit is also a focal point of the book.

Produktinformation

Utgivningsdatum:2021-08-03
Mått:155 x 235 x 33 mm
Vikt:904 g
Format:Inbunden
Språk:Engelska
Serie:Smart Innovation, Systems and Technologies
Antal sidor:480
Förlag:Springer Verlag, Singapore
ISBN:9789811617768

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

Jason Gu is currently Professor in the Department of Electrical Engineering at Dalhousie University, Canada. Professor Jason Gu received the bachelor’s degree in electrical engineering and information science from the University of Science and Technology of China, in 1992, the master’s degree in biomedical engineering from Shanghai Jiao Tong University, in 1995, and the Ph.D. degree from the University of Alberta, Canada, in 2001. He is currently Full Professor of electrical and computer engineering at Dalhousie University, Canada. He is also Cross-Appointed Professor with the School of Biomedical Engineering for his multidisciplinary research work. His research interests include robotics, biomedical engineering, rehabilitation engineering, neural networks, and control. He is Fellow of the Engineering Institute of Canada. He is IEEE Canada President-elect, 2018-2019, and IEEE Canada President, 2020-2021.Rajeeb Dey is currently Assistant Professor in the Department of Electrical Engineering at the National Institute of Technology, Silchar, India. He holds M.Tech. degree in control system engineering, from the Indian Institute of Technology, Kharagpur, India, and Ph.D. degree also in control system engineering from Jadavpur University, Kolkata, India. He is Senior Member of IEEE Control System Society, Member Institution of Engineers (India), Executive Committee Member of ACDOS (Advanced Control and Dynamic Optimization Society), and Life Member of System Society of India. His research interest includes design of robust control, optimization based on LMI techniques, time-delay systems, intelligent control, decentralized control and control applications, and biomedical control applications.Nabanita Adhikary is currently Assistant Professor in the Department of Electrical Engineering at the National Institute of Technology, Silchar, India. She holds Ph.D. degree in control system engineering, from the Indian Institute of Technology Guwahati, India. She is Member of the IEEE Control System Society and IEEE Robotics and Automation Society. Her research interests include nonlinear control system design, robust control, time-delay control, intelligent control, robotics, and networked control systems.

Innehållsförteckning

Performance Evaluation of Adaptive Dither Control Frameworks for Non linear Piezo Actuator.- PID Controller Design for Reference Tracking of Single Link Manipulator using Python.- A Multi-Master Single-Slave Teleoperation System through Composite State Convergence.- AKIRA – A voice based Virtual Assistant with authentication.- Parameter Identification of Coulomb Oscillator from Noisy Sensor Data.- Launch Vehicle Auto-Pilot Design using H-infinity Control Technique.- Design of Robust Controller for Enhanced Performance of 2-DOF Torsion System.