Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
696241 | Automatica | 2012 | 6 Pages |
Abstract
This paper presents a continuous-time version of recent results on unconstrained nonlinear model predictive control (MPC) schemes. Based on a controllability assumption and a corresponding infinite-dimensional optimization problem, performance estimates and stability conditions are derived in terms of the prediction horizon and the sampling time of the MPC controller. Moreover, improved estimates for small sampling times are discussed and a comparison to the application of the discrete-time results in a sampled-data context is provided.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Marcus Reble, Frank Allgöwer,