Unconstrained model predictive control and suboptimality estimates for nonlinear continuous-time systems

Authors:
Marcus Reble;Frank AllgöWer
Affiliations:
-;-
Venue:
Automatica (Journal of IFAC)
Year:
2012

Citing 3
Cited 0

Analysis and Design of Unconstrained Nonlinear MPC Schemes for Finite and Infinite Dimensional Systems

SIAM Journal on Control and Optimization
Analysis of Unconstrained Nonlinear MPC Schemes with Time Varying Control Horizon

SIAM Journal on Control and Optimization
Survey Constrained model predictive control: Stability and optimality

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.14

Visualization

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.