Abstract—In this paper, an indirect adaptive generalized predictive controller (GPC) is proposed by incorporating an augmented UD identifier (AUDI), based on Bierman's UD factorization algorithm. The developed adaptive control scheme is mainly aimed to deal with systems having linear time varying (LTV) dynamic characteristics. A series of simulation studies has been conducted to reveal the effectiveness of the developed adaptive control scheme to cope with such time varying dynamic profiles. The obtained results illustrate the controller robustness against both external disturbances and parameters uncertainties.

Index Terms—Indirect adaptive control, predictive control, AUDI, linear time varying system.

Pouria Sarhadi is with the Department of Electrical Engineering, Islamic Azad University South Branch, Tehran, Iran (e-mail: pouria.sarhadi@gmail.com)
Karim Salahshoor is with the Department of Automation and Instrumentation, Petroleum University of Technology, Tehran, Iran (e-mail: salahshoor@put.ac.ir)
Ali Khaki-Sedigh is with the Department of Control Engineering, K. N. Toosi University of Technology, Tehran, Iran (e-mail: sedigh@kntu.ac.ir)

Cite: Pouria Sarhadi, Karim Salahshoor, and Ali Khaki-Sedigh, "An Indirect Adaptive Predictive Control with Augmented UD Identifier for Linear Time Varying Systems," International Journal of Computer and Electrical Engineering vol. 4, no. 5, pp. 733-738, 2012.