Title :
Alternative formulation of the discrete linear quadratic regulator (DLQR)
Author :
Ghosh, Rajesh ; Sah, Mayank ; Ghosh, Mrinal K.
Author_Institution :
Dept. of Instrum. & Electron. Eng., Jadavpur Univ., Kolkata, India
fDate :
Jan. 31 2014-Feb. 2 2014
Abstract :
In this paper, an alternative apriori and aposteriori formulation has been derived for the discrete linear quadratic regulator (DLQR) in a manner analogous to that used in the discrete Kalman filter. It has been shown that the formulation seamlessly fits into the available formulation of the DLQR and the equivalent terms in the existing formulation and the proposed formulation have been identified. Thereafter, the significance of this alternative formulation has been interpreted in terms of the sensitivity of the controller performances to any changes in the states or to changes in the control inputs. The implications of this alternative formulation to adaptive controller tuning have also been discussed.
Keywords :
adaptive control; discrete time systems; linear quadratic control; sensitivity analysis; DLQR; adaptive controller tuning; controller performance sensitivity; discrete Kalman filter; discrete linear quadratic regulator; Indexes; Instruments; Kalman filters; Optimal control; Standards; Transient analysis; Tuning; DLQR; Riccati equation; controller tuning; sensitivity;
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
DOI :
10.1109/CIEC.2014.6959160