Speaker:

Dr. Ali Nasir

Assistant Professor
Control and Instrumentation Engineering Department

King Fahd University of Petroleum and Minerals

Dhahran, Saudi Arabia

Abstract:

This talk will highlight the relationship between the cost parameters of the Linear Quadratic Regulator (LQR) based control technique and the gains of the Proportional-Integral-Derivative (PID) type control technique. The relationships will be demonstrated mathematically by comparing the characteristic equations in the frequency domain with their counterparts in the time domain. The scope of this talk is first and second-order linear time-invariant systems in standard forms. Examples will be provided to demonstrate how closed-loop dynamics, such as natural frequency, damping ratio, and time constant can be related to the values of cost parameters in LQR. This work serves as a bridge between modern and classical control theory that enables the control designer to foresee the effects of the selection of cost parameters related to the Linear Quadratic Regulator on the dynamics of the closed-loop system.  

Speaker Bio:

Dr. Ali Nasir is currently working as an Assistant Professor in the Control and Instrumentation Engineering Department at King Fahd University of Petroleum and Minerals (KFUPM, Saudi Arabia.  He is an affiliate of the Interdisciplinary Research Centre for Intelligent Manufacturing and Robotics at KFUPM. He is also a guest affiliate of the Interdisciplinary Research Center for Aviation and Space Exploration. He obtained his Ph.D. in Aerospace Engineering and M.Sc. degrees in Electrical Engineering and Aerospace Engineering from the University of Michigan, Ann Arbor, in the USA (2007-2012). He received his B.Sc. in Electrical Engineering from the University of Engineering and Technology, Taxila (2005). He is the recipient of the Fulbright scholarship for an MS leading to a Ph.D. He currently works on stochastic decision-making for multi-agent systems and human intent prediction.  His research interests include approximate dynamic programming, fault-tolerant control, nonlinear control, state estimation, artificial intelligence, and Robotics.