TY - GEN
T1 - Stability analysis for linear/nonlinear model predictive control of constrained processes
AU - Sairam, Valluri
AU - Vikram, Kapila
PY - 1998
Y1 - 1998
N2 - In this paper, 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.
AB - In this paper, 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.
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U2 - 10.1109/ACC.1998.707292
DO - 10.1109/ACC.1998.707292
M3 - Conference contribution
AN - SCOPUS:84881358000
SN - 0780345304
SN - 9780780345300
T3 - Proceedings of the American Control Conference
SP - 1679
EP - 1683
BT - Proceedings of the 1998 American Control Conference, ACC 1998
T2 - 1998 American Control Conference, ACC 1998
Y2 - 24 June 1998 through 26 June 1998
ER -