期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 56, 期 3, 页码 556-570出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2010.2074590
关键词
Constrained control; nonlinear predictive control (NPC); sampled data control; sliding mode control (SMC); stability of nonlinear systems
资金
- European Commission [FP7-ICT-223866]
- Italian PRIN project Model predictive control algorithms for artificial pancreas
This paper proposes a control strategy for nonlinear constrained continuous-time uncertain systems which combines robust model predictive control (MPC) with sliding mode control (SMC). In particular, the so-called Integral SMC approach is used to produce a control action aimed to reduce the difference between the nominal predicted dynamics of the closed-loop system and the actual one. In this way, the MPC strategy can be designed on a system with a reduced uncertainty. In order to prove the stability of the overall control scheme, some general regional input-to-state practical stability results for continuous-time systems are proved.
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