David A. Anisi was born in Tehran, Iran, in 1977. He received the Doctor- and Licentiate of Science degree in Optimization and Systems Theory and Master of Science degree in Engineering Physics, all from the Royal Institute of Technology (KTH) in Stockholm, Sweden.
His research project, which was supervised by Professor Xiaoming Hu. has been funded by The Swedish Defence Research Agency (FOI) and the Swedish Defence Material Adminstration (FMV). His main research interests are in nonlinear observer design, on-line trajectory optimization techniques and cooperative task- and path planning methods for multi-vehicle surveillance applications.
The academic year of 2000-2001, was spent as an exchange student in Houston, USA, where he took classes both at the Department of Mathematics at University of Houston and Department of Computional and Applied Mathematics (CAAM) at Rice University. His Master's thesis was carried out at FOI as well and exploited the Optimal Motion Control of a Ground Vehicle.
As of April 2009, he works as a researcher at the ABB oil and gas R&D unit in Oslo, Norway.
D.A. Anisi, On Cooperative Surveillance, Online Trajectory Planning and Observer Based Control, Doctoral Thesis, Apr. 2009.
D.A. Anisi, Online trajectory planning and observer based control, Licentiate Thesis, Nov. 2006.
D.A. Anisi, Optimal motion control of a ground vehicle, Master's Thesis, Sep. 2003.
D.A. Anisi, P. Ögren and X. Hu, Cooperative minimum time surveillance with multiple ground vehicles, Submitted to IEEE Transactions on Automatic Control, Jan., 2009.
D.A. Anisi, T. Lindskog and P. Ögren, Algorithms for the connectivity constrained unmanned ground vehicle surveillance problem, European Control Conference (ECC), Budapest, Hungary, Aug., 2009.
D.A. Anisi, P. Ögren and X. Hu, Cooperative surveillance missions with multiple UGVs, IEEE Conference on Decision and Control (CDC), Cancun, Mexico, Dec. 2008.
D.A. Anisi, P. Ögren and X. Hu, Communication constrained multi-UGV surveillance, IFAC World Congress, Seoul, Korea, July, 2008.
D.A. Anisi and P. Ögren, Minimum time multi-UGV surveillance, to appear in "Optimization and Cooperative Control Strategies", Lecture Notes in Control and Information Sciences, Springer, 2008.
J. Thunberg, D.A. Anisi and P. Ögren, A Comparative study of task assignment and path planning methods for multi-UGV missions, to appear in "Optimization and Cooperative Control Strategies", Lecture Notes in Control and Information Sciences, Springer, 2008.
D.A. Anisi and J. Thunberg, Survey of patrolling algorithms for surveillance UGVs, Scientific Report, Swedish Defence Research Agency (FOI), FOI-R--2266--SE, Apr. 2007.
D.A. Anisi, P. Ögren and J. Robinson, Safe receding horizon control of an aerial vehicle, IEEE Conference on Decision and Control (CDC), San Diego, CA, Dec. 2006.
D.A. Anisi, Adaptive node distribution for on-line trajectory planning, Congress of the International Council of the the Aeronautical Sciences (ICAS), Hamburg, Germany, Sep. 2006 (Best student paper award runner up).
D.A. Anisi, J. Robinson and P. Ögren, On-line trajectory planning for aerial vehicles: a safe approach with guaranteed task completion, AIAA Guidance, Navigation and Control Conference and Exhibit, Keystone, Colorado, Aug. 2006.
D.A. Anisi, On-line trajectory planning using adaptive temporal discretization, Swedish Workshop on Autonomous Robotics (SWAR), Stockholm, Sweden, Sep. 2005.
D.A. Anisi, J. Hamberg and X. Hu, Nearly time-optimal paths for a ground vehicle (revised), Reglermötet, May 2004.
D.A. Anisi, J. Hamberg and X. Hu, Nearly time-optimal paths for a ground vehicle, Journal of Control Theory and Applications, Nov. 2003.
D.A. Anisi and X. Hu, Nonlinear observability and active observers for mobile robotic systems, Submitted to Automatica, Jan., 2009
D.A. Anisi and X. Hu, Observability and active observers for mobile robotic systems, International Symposium on Mathematical Theory of Networks and Systems (MTNS), Kyoto, Japan, Jul. 2006.
D.A. Anisi, J. Hamberg, Riemannian observers for Euler-Lagrange systems, IFAC World Congress, Prague, Czech Republic, July 2005.
SF1811 Optimization (F) (Spring 2009)
5B1762 Optimization (T) (Spring 2008)
5B1762 Optimization (T) (Spring 2007)
5B1815 Applied Linear Optimization (Fall 2006)
5B1712 Optimization (F) (Spring 2006)
5B1712 Optimization (F) (Spring 2005)
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