Adwait Datar


Research Assistant
Office:Building N, Room 1039
Telephone:+49 40 42878-3407
Email:adwait.datar@tuhh.de


 

Research Interest:

 

Distributed cooperative control of Multi-Agent systems

Stability Analysis with Integral Quadratic Constraints

Data-driven Techniques in Control

 

Teaching Responsibilities:

Winter term 2018/2019          Control Systems Theory and Design

Summer term 2018                Linear and Nonlinear System Identification

Summer term 2018                Optimal and Robust Control


Experimental Student Projects:

  1. Sivanand, Shankar (Ongoining): An online optimization based torque vectoring control technique for an electric racing car.
  2. Strübing, Manuel (Ongoing): An underwater test-bed setup for modeling acoustic communications in underwater test-bed setup for modeling acoustic communications in formation control of underwater robots. Bachelor Thesis. 
  3. Paulsen, Peter (Ongoing): Development of a software framework for implementation of Co-operative control algorithms on a swarm of small quadrotors. Project Work.
  4. Salomon, Rafael  (2018): Control of small quadrotor with LQ(Linear Quadratic) Techniques using ROS nodes within Simulink. Project Work.
  5. Ongrungroj, Pongpol (2018) : Attitude control of a small quadrotor with Quaternions. Project Work.
  6. Kothakapu, Raja Vardhan Reddy (2018): Hinf Controller Design for Position and Attitude Control of a small quadrotor. Project work.
  7. Schradick, Dennis (2018): Real-time calibration for localization of UAVs using ultra wide band sensors. (External) Master Thesis.
  8. Hastedt, Philipp (2017): System Identication of a Quadrotor using Indoor Positioning System. Bachelor thesis. Supervised by Datar, Adwait, Werner, Herbert
  9. Woidelko, Mirco Fabian (2017): Localization of a Quad-roter Helicopter using Indoor Positioning, Optical Flow Sensor and IMU Data. Bachelor Thesis. Supervised by Datar, Adwait, Werner, Herbert.
  10. Attar, Abdul Nasser (2017): Identication of a Linear Parameter Varying Dynamic Model of an electric sports car.. Master's Thesis.

Theoretical Student Projects:

  1. Shalghar, Ajay (Ongoing): Comparison of LPV controller synthesis with LPV tools and synthesis with full block scalings
  2. Häuslein, Julius (2018): Dynamic quantization for formation control of underwater robotic agents. Bachelor Thesis.
  3. Jadhav, Shashank (2017): Convergence of consensus algorithms for multi-agent systems under communication constraints. Master's Thesis
  4. Naumann, Konrad (2017): Nonlinear control of a quadrotor for stabiliyation from arbitrary initial conditions. Master Thesis.

Topics related to Data-driven techniques:

  1. Elfauti, Ahmed (Ongoing): Investigations into Koopman Operator based Control Techniques
  2. Bakr, Mohamed Ahmed Mustafa (2018): Systematic procedure for Extended MIMO Data driven control and Implementation on Control Moment Gyroscope. Project Work.
  3. Ghoorchian, Saeed (2017): Kernelized principal component analysis of a Linear Parameter Varying model of a Gyroscope. Master's Thesis

 

 

Short CV

11/2016–presentResearch assistant at the Institute of Control Systems, Hamburg University of Tech.
09/2014-10/2016M.Sc. in Mathematical modeling in Engineering (www.mathmods.eu)
07/2012–08/2014Research Engineer, Mercedes Benz R&D, India / Diamler RD, Stuttgart 
06/2012B.E. in Mechanical Engineering, University of Pune,India

 

 

Journal Publications:

 

[1] Datar, A.V., Fyta, M., Marconi, U.M.B. and Melchionna, S., 2017. Electrokinetic Lattice Boltzmann solver coupled to Molecular Dynamics: application to polymer translocation. Langmuir33(42), pp.11635-11645.

Conferemce Publications:

 

[1] Datar, A., Schneider, D., Mirali, F., Werner, H. and Frey, H., 2018, June. A Memory Weighted Protocol for Sampled-Data Systems Subjected to Packet Dropouts. In 2018 Annual American Control Conference (ACC) (pp. 2485-2490). IEEE.

[2] Datar, A., Schulz, E. and Werner, H., 2018, June. Identification of Linear Parameter-Varying Models with Unknown Parameter Dependence Using $\varepsilon $-Support Vector Regression. In 2018 Annual American Control Conference (ACC) (pp. 2011-2016). IEEE.

[3] Jadhav, S., Datar, A. and Werner, H., 2018, June. Distributed Approach to Dynamic Quantization for Multi-Agent Systems. In 2018 Annual American Control Conference (ACC) (pp. 2473-2478). IEEE.

[4] Bakr, M., Datar, A., Gonzalez A. and Werner, H., 2018. Data-Driven Control for a Class of Non-Linear MIMO Systems. Accepted for presentation at the 57th IEEE Conference on Decision and Control