TY - GEN
T1 - Modeling and robust optimization of an interconnected lake-aquifer system
AU - Yilmaz, Muhittin
AU - Uddameri, Venkatesh
PY - 2010
Y1 - 2010
N2 - This study develops a robust modeling and stabilization framework for an interconnected lake-aquifer system in the field of hydrology. The conventional lake-aquifer dynamics are transformed into a multi-input multi-output linear time-invariant model with a bounded uncertainty. The robust performance of the system is obtained through an H-infinity controller to address a bounded model uncertainty, satisfactory reference input tracking and disturbance rejection behaviour, and maximum profitability of the water extraction process. The robust optimization design results demonstrate that the designed robust controller maintains the desired aquifer level under a bounded model uncertainty and an exogenous input excitation while maximizing the corresponding environmental utility. Therefore, the proposed framework offers a new worst-case deterministic optimization algorithm for policy makers during efficient water management policy decisions, maximizing economical benefits while ensuring sustainable social, biological and environmental activities.
AB - This study develops a robust modeling and stabilization framework for an interconnected lake-aquifer system in the field of hydrology. The conventional lake-aquifer dynamics are transformed into a multi-input multi-output linear time-invariant model with a bounded uncertainty. The robust performance of the system is obtained through an H-infinity controller to address a bounded model uncertainty, satisfactory reference input tracking and disturbance rejection behaviour, and maximum profitability of the water extraction process. The robust optimization design results demonstrate that the designed robust controller maintains the desired aquifer level under a bounded model uncertainty and an exogenous input excitation while maximizing the corresponding environmental utility. Therefore, the proposed framework offers a new worst-case deterministic optimization algorithm for policy makers during efficient water management policy decisions, maximizing economical benefits while ensuring sustainable social, biological and environmental activities.
UR - http://www.scopus.com/inward/record.url?scp=78649435149&partnerID=8YFLogxK
U2 - 10.1109/CCA.2010.5611173
DO - 10.1109/CCA.2010.5611173
M3 - Conference contribution
AN - SCOPUS:78649435149
SN - 9781424453627
T3 - Proceedings of the IEEE International Conference on Control Applications
SP - 2154
EP - 2159
BT - 2010 IEEE International Conference on Control Applications, CCA 2010
Y2 - 8 September 2010 through 10 September 2010
ER -