Abstract
In this paper, a new stabilizing receding horizon control (RHC) scheme is proposed for linear continuous time-invariant systems with input and state constraints. The control scheme is based on the minimization of the finite horizon cost with a finite terminal weighting matrix subject to constraints. A new algorithm is suggested to implement the RHC scheme for a constrained receding horizon guidance law (CRHG). The proposed CRHG, which does not use information on the time-to-go, is obtained by using linear matrix inequality (LMI) optimization. Through simulation examples, the performance of the proposed CRHG is illustrated.
| Original language | English |
|---|---|
| Pages (from-to) | 1107-1115 |
| Number of pages | 9 |
| Journal | Control Engineering Practice |
| Volume | 9 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2001 Oct |
Keywords
- Autopilots lags
- Constraints
- Guidance laws
- LMI
- RHC
- Time-to-go
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
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