Title :
Constrained discrete-time state-dependent Riccati equation technique: A model predictive control approach
Author :
Insu Chang ; Bentsman, Joseph
Author_Institution :
Dept. of Aerosp. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
The continuous time state-dependent Riccati equation (SDRE) technique is extended to discrete-time under input and state constraints, yielding constrained (C) discrete-time (D) SDRE, referred to as CD-SDRE. For the latter, stability analysis and calculation of a region of attraction are carried out. The derivation of the D-SDRE under state-dependent weights is provided, and the result is compared with that of D-SDRE obtained by using the discrete-time algebraic Riccati equation (DARE) and that of discrete-time linear quadratic regulator (D-LQR). Stability of the D-SDRE feedback system is established using input-to-state stability (ISS) approach. Receding horizon strategy is used to take into account the constraints on D-SDRE controller.
Keywords :
Riccati equations; continuous time systems; discrete time systems; feedback; linear quadratic control; nonlinear control systems; predictive control; stability; CD-SDRE; D-SDRE feedback system; DARE; ISS; constrained discrete-time state-dependent Riccati equation technique; discrete-time algebraic Riccati equation; discrete-time linear quadratic regulator; input constraints; input-to-state stability approach; model predictive control approach; nonlinear systems; receding horizon strategy; region-of-attraction calculation; stability analysis; state constraints; state-dependent weights; Adaptive control; Algorithm design and analysis; Control systems; Nonlinear systems; Riccati equations; Stability analysis;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760694