2017 American Control Conference (ACC) 2017
DOI: 10.23919/acc.2017.7963417
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A novel tube-based output feedback MPC for constrained linear systems

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Cited by 17 publications
(18 citation statements)
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“…This is done by utilizing an existing pre‐stabilized system as the inner‐loop and add an MPC controller to the system in the outer‐loop 14 . Another class of the TL‐MPCs are tube‐based MPCs 15‐19 . They decrease the computational cost of robust MPCs by constructing an ancillary loop together with the MPC loop.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is done by utilizing an existing pre‐stabilized system as the inner‐loop and add an MPC controller to the system in the outer‐loop 14 . Another class of the TL‐MPCs are tube‐based MPCs 15‐19 . They decrease the computational cost of robust MPCs by constructing an ancillary loop together with the MPC loop.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast with MPC‐based RGs, 11‐13 improving the tracking performance is covered. Compared to tube‐based MPC methods, 15‐19 the computational complexity and conservatism of tube calculation are reduced.…”
Section: Introductionmentioning
confidence: 99%
“…This motivates extensive investigations of output feedback RMPC (OFRMPC) based on for example Luenberger state observer (e.g., [4-7, 10, 11]) and dynamic output feedback controller (e.g., [12,[14][15][16][17][18]). The interesting works on OFRMPC for constrained linear sys-tems with bounded disturbances can refer to [7][8][9], and to [10][11][12][13][14]17] for systems that have both model parametric uncertainties represented by linear parameter varying (LPV) system with bounded disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…Beside the application of MPC in power converters, some theoretical aspects of MPC have also been explored in [95][96][97][98][99]. These studies are focused on exploring the MPC for power converters and reducing the computational burden.…”
Section: Ch 2 Literature Review 25 Model Predictive Controlmentioning
confidence: 99%
“…These studies are focused on exploring the MPC for power converters and reducing the computational burden. The ability of MPC to incorporate both the input and output constraints are explored in [95,96]. These can provide more flexibility and protection during the practical implementation of MPC.…”
Section: Ch 2 Literature Review 25 Model Predictive Controlmentioning
confidence: 99%