Dr Somasundar Kannan
Biography | Dr Somasundar Kannan is currently a Lecturer in Electronic and Electrical engineering in School of Engineering at RGU. Before joining RGU Dr Kannan had been a postdoc at University of Manchester (UK), University of Luxembourg (Luxembourg) and CentralSupelec (France). Dr Kannan obtained his PhD in Automatic Control from Arts et Metiers ParisTech (France). He obtained his MS in Aerospace Engineering (Flight Dynamics and Control) from KAIST (South Korea) and completed his BE in Electronics and Instrumentation from University of Madras (India). Dr Kannan has several years of research and industrial consulting experience in the domains of control theory, robotics, Linear and nonlinear systems etc. Dr Kannan has over the years gained experience in developing models and applying control theory to systems such as Unmanned Aerial Vehicles (UAV), robotic manipulators, space robotics systems, solar sails and energy efficient buildings. |
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Research Interests | Control Theory & Applied Control Linear/Nonlinear & Adaptive Control Model Predictive Control Cooperative & Distributed Control System Identification, Modeling & Observer design Robotics, Aerospace, UAV & Autonomous Systems Hysteresis, Thermal Behavior & Nonlinear Systems |
Teaching and Learning | Teaching, assessment and student supervision activities: Control and Instrumentation/Signal-Processing (EN4501/EN4502) Advanced Signal Processing and Systems Analysis (EN5502) Advanced Digital System Design (EN4542) Linear Control Systems (EN2104-GA) Fundamentals in Researcher Development (GSM010) Engineering Stage-3 Group Project (EN3600) Engineering UG Final Year Project (EN4600) Integrative Engineering Project-Evening Class (EN3602) |
Scopus Author ID | 55423781300 |
PhD Supervision Availability | Yes |
PhD Topics | - Modelling and Control of Robotic Systems (Aerial, Subsea, Mobile, Space). -Control of Linear and Nonlinear systems using Adaptive and Nonlinear techniques. -System Identification and Identifiability of Linear and Nonlinear systems. -Application of Model Predictive control techniques. -Cooperative control of distributed systems. -Formation control of robotic systems. |