Paper Info
Title
Lyapunov-based dual-mode method for economic optimization model predictive control
Abstract
This paper presents a new economic optimization model predictive control (MPC) for constrained continuous-time nonlinear systems. In order to relax the terminal state constraint, a particular dual-mode method is used to design the economic MPC, where the local (terminal) controller is resulted from control Lyapunov functions (CLFs) and is nonlinear, with some free-parameters. These free-parameters are computed online when the states are in the terminal region. Iterative feasibility and asymptotical stability of the closed-loop system are achieved, which further yields an asymptotical average performance being better than the optimal steady-state performance. Finally, an example of the isothermal CSTR is exploited to illustrate the effectiveness of the proposed method.
Year
DOI
Venue
2014
10.1109/CDC.2014.7039933
CDC
Keywords
Field
DocType
asymptotical stability,economic optimization model predictive control,lyapunov-based dual-mode method,asymptotic stability,iterative feasibility,control system synthesis,closed-loop system,continuous time systems,nonlinear control systems,control lyapunov functions,clf,constrained continuous-time nonlinear systems,economic mpc design,closed loop systems,lyapunov methods,terminal state constraint,predictive control
Lyapunov function,Lyapunov equation,Mathematical optimization,Control theory,Nonlinear system,Computer science,Control theory,Model predictive control,Lyapunov optimization,Lyapunov redesign,Sliding mode control
Conference
ISSN
Citations 
PageRank 
0743-1546
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Defeng He1203.20
Shiming Yu220.73
Xiulan Song321.37