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TOP UNIVERSITIES FOR MS IN CONTROL SYSTEMS

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In this presentation , let us take a look at some of the best Universities to pursue higher education and research in Electrical Engineering specializing in “Control Systems”

Control systems find its application in various industries like Automotive, Manufacturing, Robotics and Aviation etc. With large scale manufacturing industries automating their processes to a great extent, creating Intelligent Robots requires an extensive inter disciplinary knowledge on the fields of Mechanical, Electrical and Computer Science Engineering. A Masters in Control Systems bridges the gap between these engineering disciplines and paves the way for innovation with respect to automation.

Now, back to the point, as promised, these are some of the best universities to pursue your Masters in Control Systems.

INTRODUCTION

Massachusetts Institute of Technology• Faculty: Domitilla Del Vecchio is interested in Control & Dynamical Systems Theory, Systems

and Synthetic Biology & Intelligent Transportation. • Research: Novel actuator and sensor technology, bio robotics and bioinstrumentation, control

of complex systems, precision instrumentation, autonomous robotic vehicle, and optics.

University of California Berkeley• Faculty: Pieter Abbeel carries out research in the field of Artificial Intelligence, Control Intelligent

Systems & Robotics and Machine Learning.

• Research: Neuro-prosthetic systems, Computational motor control, Human-centered control, Man-machine systems, Computer vision, Active and real-time perception, Neuro-engineering, Biological systems modeling, Systems biology.

University of Illinois Urbana Champaign • Faculty: Prof. Yuliy Baryshnikov is primarily interested in nonlinear dynamics and

control, applied topology, stochastic processes.• Research: Control,Decentralized and distributed control, Discrete-event, Switched

and Hybrid systems, Random processes, Robotics and Motion planning.

University of Michigan• Faculty: Prof. Dmitry Berenson is interested in creating algorithms that allow robots to

interact with the world and collaborate efficiently with people.• Research: Databases and Data Mining, Embedded and Mobile Systems, Embedded

Systems, Energy Science and Engineering, Engineering Education Research, Human-Computer Interaction, Integrated Circuits & VLSI, Optics & Photonics, Power and Energy.

California Institute of Technology • Faculty: Prof. Aaron Ames research interests center on robotics, nonlinear control, hybrid systems

and cyber-physical systems, with special emphasis on foundational theory and experimental realization on robotic systems.• Research: Engineering systems design, resource allocation, statistical estimation, and game theory

Georgia Institute of Technology • Faculty: Prof. Magnus Egerstedt, Executive Director, Institute for Robots and Intelligent

Machines is interested in Systems and Controls, Computer Systems and Software.• Research: Mathematical systems theory, Discrete event systems and hybrid system, Nonlinear

control, Computer Vision, Intelligent control, Sensor technologies, Robotics.

Cornell University• Faculty: Prof. Eilyan Bitar research interests include modern power systems and electricity

markets, stochastic control, and optimization.• Research: Modern power systems and electricity markets, stochastic control, and optimization.

• Faculty: Prof. Jianghai Hu specializes Automatic Control, Communications, Networking, Signal & Image Processing. • Research: Hybrid systems, multi-agent systems, control of uncertain systems, control applications,

general control and optimization theory.

Purdue University

Princeton University• Faculty: Prof. Philip Homes works on nonlinear dynamics and differential equations, developing qualitative and analytical methods for studying mathematical models of solid, fluid, and

biological systems. He has contributed to the mathematical foundations and applications of dynamical systems or 'chaos theory• Research: Research area includes nonlinear dynamical systems, reduced-order modeling, optimal control and estimation, coordinated control of networked multi-agent systems,

nonlinear control, and geometric mechanics.

Columbia University• Faculty: Prof. Richard W. Longman directs the Control Systems group and conducts state-of-the-art

research in Dynamics and Learning/ Repetitive /Optimal Control with applications in system identification, robotics in space, computer disk drives, copying machines and satellite altitude and shape control.• Research: Iterative Learning and Repetitive Control, Kinematics, Intelligent Mechanism & Morphing

questions, System Identification, Damage detection in structures, Robotics in space and Satellite Attitude Dynamics.

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