Title :
Stability analysis for linear/nonlinear model predictive control of constrained processes
Author :
Valluri, Sairam ; Kapila, Vikram
Author_Institution :
Dept. of Chem. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
We present a stability analysis method for input constrained SISO linear/nonlinear systems with model predictive controllers. Specifically, this method is based on a Lyapunov function framework and provides a subset of the domain of attraction for the closed-loop stability under the shortest-prediction-horizon model predictive control laws. By using this framework a designer can a posteriori verify the overall stability of closed-loop system for a desired performance in the event of actuator saturation. The effectiveness of the method is demonstrated by considering linear and nonlinear examples
Keywords :
Lyapunov methods; asymptotic stability; closed loop systems; control system analysis; linear systems; nonlinear systems; predictive control; state feedback; Lyapunov function; SISO systems; actuator saturation; asymptotic stability; closed-loop system; linear systems; model predictive control; nonlinear systems; state feedback; Aerospace control; Aerospace engineering; Chemical engineering; Control design; Feedback; Linear systems; Nonlinear systems; Predictive control; Predictive models; Stability analysis;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.707292
