Name
Abstract | ||
|---|---|---|
In this work, we introduce a distributed Lyapunov-based model predictive control method for nonlinear systems with input constraints. The class of systems considered arises naturally when new sensors, actuators and controllers are added to already operating control loops to improve closed-loop performance, taking advantage from the latest advances in sensor/actuator network technology. Assuming that there exists a Lyapunov-based controller that stabilizes the closed-loop system using the pre-existing control loops, we propose to use Lyapunov-based model predictive control to design two separate predictive controllers that compute the optimal input trajectories in a distributed manner. The proposed distributed control scheme preserves the stability properties of the Lyapunov-based controller while satisfying input constraints and improving the closed-loop performance. The theoretical results are illustrated using a chemical process example. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ACC.2009.5160095 | ACC'09 Proceedings of the 2009 conference on American Control Conference |
Keywords | DocType | ISSN |
closed-loop performance,predictive control,nonlinear system,control scheme,lyapunov-based model,model predictive control,lyapunov-based controller,pre-existing control loop,closed-loop system,predictive control method,input constraint,control loop,stability,trajectory,control systems,satisfiability,optimization,optimal control,sensor network,sensors,distributed computing,actuators,nonlinear systems,process control,predictive models | Conference | 0743-1619 |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinfeng Liu | 1 | 265 | 28.37 |
| David Muñoz de la Peña | 2 | 293 | 24.98 |
| Panagiotis D. Christofides | 3 | 784 | 92.67 |