TY - JOUR
T1 - Uncertainty in control problems
T2 - A survey
AU - Herzallah, Randa
PY - 2005
Y1 - 2005
N2 - Plant complexity inevitably leads to poor models that exhibit a high degree of parametric or functional uncertainty. The situation becomes even more complex if the plant to be controlled is characterized by multi-valued function or even if it exhibits a number of modes of behavior during its operation. Recently, control engineers and theorist have developed new control techniques under the framework of intelligent control to enhance the performance of the controller for more complex and uncertain plants. Basically, those techniques are based on incorporating models uncertainty which are proven to give more accurate control results under uncertain conditions. in this paper we survey some approaches that appear to be promising for enhancing the performance of intelligent control systems in the face of higher level of complexity and uncertainty.
AB - Plant complexity inevitably leads to poor models that exhibit a high degree of parametric or functional uncertainty. The situation becomes even more complex if the plant to be controlled is characterized by multi-valued function or even if it exhibits a number of modes of behavior during its operation. Recently, control engineers and theorist have developed new control techniques under the framework of intelligent control to enhance the performance of the controller for more complex and uncertain plants. Basically, those techniques are based on incorporating models uncertainty which are proven to give more accurate control results under uncertain conditions. in this paper we survey some approaches that appear to be promising for enhancing the performance of intelligent control systems in the face of higher level of complexity and uncertainty.
KW - Adaptive control
KW - Bayesian methods
KW - Conditional distributions
KW - Mixture density network
KW - Multiple model approaches
KW - Neural networks
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=79960715571&partnerID=8YFLogxK
UR - https://www.sciencedirect.com/science/article/pii/S147466701637104X?via%3Dihub
U2 - 10.3182/20050703-6-cz-1902.01092
DO - 10.3182/20050703-6-cz-1902.01092
M3 - Conference article
AN - SCOPUS:79960715571
SN - 1474-6670
VL - 38
SP - 82
EP - 90
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
IS - 1
ER -