This field is a bridge among Mechanical, Electrical, Computer
Science and other engineering domains. After substantial
progress in the area the emergence of Mechatronics Engineering
has been reported. The research in the Control and automation
deals with system design, system dynamics, stability analysis,
controller design, modelling of the systems. The viewpoint for
systems is through mathematical models. At DYPIU we have high
end interdisciplinary domains like Artificial Intelligence and
Machine Learning, Robotics & AI, which holds the cutting edge
developments of control and automation. This strengthens the
possibilities of quality research in control and automation.
Some key sub areas of control and automation are as follows:
Robust Control, Biological Systems, Finite Element Method,
Reinforcement Learning Control, Approximate Dynamic Programming,
Simulation and Control, Model Order Reduction, Cyber Physical
Systems, Guidance and control, Dynamical systems, Intelligent
control, Robotics, Sliding mode control, Nonlinear Control,
Computational Methods for modelling, Mechatronics, Discrete Time
Systems, Differential Games, Distributed Parameter Systems,
Adaptive Control of uncertain Nonlinear systems, System
Identification. The research in these areas, and sub areas of
control and automation requires a good understanding of
mathematics. Having a good hand at programming is a plus. The
work combines the ample amount of theoretical and practical
exposure.