Temat: model based control - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: EHMAC - a New Simple Tool for Robust Linear Multivariable Control
Autorzy:: Latawiec, K. J.
Rojek, R.
Powiązania:: https://bibliotekanauki.pl/articles/911218.pdf
Data publikacji:: 2000
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: sterowanie wewnętrzne
sterowanie predykcyjne
sterowanie wielowymiarowe
internal model control
model-based predictive control
multivariable control
orthonormal basis functions
robust control
Opis:: A combination of long range predictive control-originated EHPC and internal model control-structured MAC is shown to produce a new, simple but effective Extended Horizon Model Algorithmic Control (EHMAC). The EHMAC strategy can be used to robustly control open-loop stable non-minimum phase (possibly non-square) MIMO systems under very large model-plant mismatches. Robust EHMAC design is made straightforward by means of a separate selection of a single prediction horizon and an IMC filter parameter, which can be easily auto-tuned.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2000, 10, 3; 575-590
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Adaptive Predictive Controller Using Orthonormal Series Functions
Autorzy:: Oliveira, G. H. C.
Amaral, W. C.
Favier, G.
Powiązania:: https://bibliotekanauki.pl/articles/908308.pdf
Data publikacji:: 1999
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: sterowanie predykcyjne
adaptacyjny układ sterowania
niepewność
model-based predictive control
adaptive control
uncertain process
orthonormal series functions
Opis:: A constrained adaptive predictive control method that uses uncertain process modelling based on orthonormal series functions is considered. Such unstructured modelling is described as a weighted sum of orthonormal functions using approximate information about the time constant of the process. The orthonormal series functions model can thus be used to derive a j-step-ahead output prediction according to the constrained adaptive predictive control law. In relation to predictive controllers based on structured models, this approach presents the advantage of not requiring prior knowledge of the order or time delay, which decrease prediction errors and lead to a better closed loop performance when these parameters are not well known. Stability issues of the proposed control scheme are discussed and, finally, a simulation example is given to show the performance of the algorithm.
Źródło:: International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 175-191
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Reliability-based economic model predictive control for generalised flow-based networks including actuators’ health-aware capabilities
Autorzy:: Grosso, J. M.
Ocampo-Martinez, C.
Puig, V.
Powiązania:: https://bibliotekanauki.pl/articles/330080.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: model predictive control
flow based network
dynamic safety stocks
actuator health
service reliability
chance constraints
economic optimisation
sterowanie predykcyjne
niezawodność serwisu
optymalizacja ekonomiczna
Opis:: This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators’ availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2016, 26, 3; 641-654
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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