Stability and Performance Analysis of NMPC: Detectable Stage Costs and General Terminal Costs

成果类型:
Article
署名作者:
Kohler, Johannes; Zeilinger, Melanie N.; Gruene, Lars
署名单位:
Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Bayreuth
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3235244
发表日期:
2023
页码:
6114-6129
关键词:
costs stability analysis Numerical stability cost function asymptotic stability performance analysis CONTROLLABILITY Linear programming analysis optimal control Predictive control stability of nonlinear systems
摘要:
We provide a stability and performance analysis for nonlinear model predictive control (NMPC) schemes subject to input constraints. Given an exponential stabilizability and detectability condition w.r.t. the employed state cost, we provide a sufficiently long prediction horizon to ensure asymptotic stability and a desired performance bound w.r.t. the infinite-horizon optimal controller. Compared to existing results, the provided analysis is applicable to positive semidefinite (detectable) cost functions, provides tight bounds using a linear programming analysis, and allows for a seamless integration of general positive-definite terminal cost functions in the analysis. The practical applicability of the derived theoretical results is demonstrated with numerical examples.