2009 International Conference on Machine Learning and Cybernetics 2009
DOI: 10.1109/icmlc.2009.5212208
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Optimal preview control for linear time-variant discrete systems

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Cited by 9 publications
(17 citation statements)
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“…The main results of this paper can be gained immediately by the approach similar to [20]. (2) (̃,̃) is detectable.…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 88%
See 2 more Smart Citations
“…The main results of this paper can be gained immediately by the approach similar to [20]. (2) (̃,̃) is detectable.…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 88%
“…If Assumptions 1, 2, 3, and 4 and > 0 hold, the conditions of Theorem 9 are all satisfied. Then, the optimal controller for system (17) is (20). In order to prove this theorem, we only need to get (35) by (20).…”
Section: Lemma 12 (̃̃) Is Detectable If and Only If ( ) Is Detementioning
confidence: 99%
See 1 more Smart Citation
“…The recent trend in this field has shown a change in the form of systems on which preview control can be applied, an amendment in the standard preview controller formulation, and a modification in the mode preview signal is available for action. Thus, this new dimension has enriched the literature with preview control for affine parameter‐dependent system and linear variant coefficient discrete‐time system, preview sliding mode control, RCO‐adaptive and preview control, LQ‐SOF‐based preview control, multiple preview compensation, and others . The current decade literature has presented new structure, systems, and generalizations in the design of preview control.…”
Section: Classification Of Literaturementioning
confidence: 99%
“…Discrete domain is used to control affine parameter‐dependent autonomous underwater vehicle (AUV) model with preview control by Silvestre et al . Liao et al have discussed optimal preview control design of linear variant coefficient discrete‐time systems. The preview control design is presented by Gershon et al for linear continuous‐time invariant retarded systems with stochastic parameter uncertainties.…”
Section: Classification Of Literaturementioning
confidence: 99%