Constrained Model Predictive Control
By Eduardo Fernández Camacho, C. Bordons. 2007
328 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mathematical Optimization, Robotics & Control
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- David Q. Mayne
- Xiaohua Xia
- Frank Allgöwer
- Rolf Findeisen
- Ahmed M. Elaiw
- Jiangfeng Zhang
- Sasa V. Rakovic
- Silviu-Iulian Niculescu
In Mathematical Optimization
- Jiangfeng Zhang
- Frank Allgöwer
- Silviu-Iulian Niculescu
- Sorin Olaru
- David Q. Mayne
- Rolf Findeisen
- Ahmed M. Elaiw
- Xiaohua Xia
In Robotics & Control
- Jiangfeng Zhang
- Frank Allgöwer
- Silviu-Iulian Niculescu
- Sorin Olaru
- David Q. Mayne
- Rolf Findeisen
- Ahmed M. Elaiw
- Xiaohua Xia
Citations in the corpus
- Distributed model predictive control: A tutorial review and future research directions (2013, neutral): “Another class of approaches is to impose stability constraints in the MPC optimization problem (e.g., Chen & Allgöwer, 1998; Mayne et al., 2000 ).”
- An application of model predictive control to the dynamic economic dispatch of power generation (2011, methodology): “It has been shown that MPC algorithms approximate many complex system behaviors by using simplified models to a satisfactory extent (see, e.g., Camacho & Bordons, 2004; De Nicolao et al., 2000; Findeisen et al., 2003; Mayne et al., 2000; Qin & Badgwell, 2003; Rawlings, 2000).”
- Predictive Control for Linear Systems with Delayed Input Subject to Constraints (2008, methodology): “, 2004) which offer constraints handling capabilities with stability guarantees (Mayne et al., 2000) as well as the possibility of incorporating uncertainties in an explicit manner at the design stage one has the picture of a versatile control strategy with a proved succes among practitioners.”
- Robust output feedback model predictive control of constrained linear systems (2006, background): “It follows that the uncertain observer system (15) is identical to the uncertain system considered in Mayne et al. (2005) with x̂ replacing x, ̄ replacing w, and ̄ replacing W , and that problem PN(x̂) is, with these substitutions, identical to problem P ∗ N(x) considered in Mayne et al. (2005). I”