Optimization issues in predictive control with fuzzy objective functions

Fuzzy Objective Functions in Multivariable Predictive Control

“…The B&B method has been applied as optimization algorithm to both the classical and the fuzzy predictive controllers. This algorithm revealed to be the best for situations as described in this paper (Sousa et al 1997, Sousa 2000, Sousa and Setnes 1999. discretizations.…”

Fuzzy Objective Functions in Multivariable Predictive Control

“…The B&B method has been applied as optimization algorithm to both the classical and the fuzzy predictive controllers. This algorithm revealed to be the best for situations as described in this paper (Sousa et al 1997, Sousa 2000, Sousa and Setnes 1999. discretizations.…”

Adaptive Fuzzy Model Predictive Control for non-minimum phase and uncertain dynamical nonlinear systems

“…Recently, the studies on solving this problem can be classified into two directions. One direction is used the Genetic Algorithm [56] [65], and another direction is used B&B [8] [67] [68] [69]. These studies obtained some results, but they are still having some drawbacks.…”

On the application of fuzzy predictive control based on multiple models strategy to a tubular heat exchanger system

“…Here, to choose the model in the corresponding operating environment, at each instant of time, a/ and could be chosen as the maximum values. Hereinafter, in the second group, the intelligent type of the multiple models control strategy is now presented (Clarke, 1988;Franco et al, 2004;Gadkar et al 2003;Hadjili et al, 1998;Huang et al, 2002;Qi-Gang et al, 2003;Sadati et al, 2005aSadati et al, , 2005bSaez and Cipriano, 1997;Saha et al, 2004;Sousa, 2000;Wang, 2002;Zamarreno and Vega, 1999). This control strategy is realized based on the OFPM-FPC pairs, ie, the OFPMs of the system and the corresponding FPCs, while the IDM is organized based on the fuzzybased approach, as shown in Figure 4.…”

Fuzzy Objective Functions in Multivariable Predictive Control

“…The B&B method has been applied as optimization algorithm to both the classical and the fuzzy predictive controllers. This algorithm revealed to be the best for situations as described in this paper (Sousa et al 1997, Sousa 2000, Sousa and Setnes 1999. discretizations.…”

Adaptive Fuzzy Model Predictive Control for non-minimum phase and uncertain dynamical nonlinear systems

“…Recently, the studies on solving this problem can be classified into two directions. One direction is used the Genetic Algorithm [56] [65], and another direction is used B&B [8] [67] [68] [69]. These studies obtained some results, but they are still having some drawbacks.…”

On the application of fuzzy predictive control based on multiple models strategy to a tubular heat exchanger system

“…Here, to choose the model in the corresponding operating environment, at each instant of time, a/ and could be chosen as the maximum values. Hereinafter, in the second group, the intelligent type of the multiple models control strategy is now presented (Clarke, 1988;Franco et al, 2004;Gadkar et al 2003;Hadjili et al, 1998;Huang et al, 2002;Qi-Gang et al, 2003;Sadati et al, 2005aSadati et al, , 2005bSaez and Cipriano, 1997;Saha et al, 2004;Sousa, 2000;Wang, 2002;Zamarreno and Vega, 1999). This control strategy is realized based on the OFPM-FPC pairs, ie, the OFPMs of the system and the corresponding FPCs, while the IDM is organized based on the fuzzybased approach, as shown in Figure 4.…”

Fuzzy Objective Functions in Multivariable Predictive Control

“…The B&B method has been applied as optimization algorithm to both the classical and the fuzzy predictive controllers. This algorithm revealed to be the best for situations as described in this paper (Sousa et al 1997, Sousa 2000, Sousa and Setnes 1999. discretizations.…”

Adaptive Fuzzy Model Predictive Control for non-minimum phase and uncertain dynamical nonlinear systems

“…Recently, the studies on solving this problem can be classified into two directions. One direction is used the Genetic Algorithm [56] [65], and another direction is used B&B [8] [67] [68] [69]. These studies obtained some results, but they are still having some drawbacks.…”

On the application of fuzzy predictive control based on multiple models strategy to a tubular heat exchanger system

“…Here, to choose the model in the corresponding operating environment, at each instant of time, a/ and could be chosen as the maximum values. Hereinafter, in the second group, the intelligent type of the multiple models control strategy is now presented (Clarke, 1988;Franco et al, 2004;Gadkar et al 2003;Hadjili et al, 1998;Huang et al, 2002;Qi-Gang et al, 2003;Sadati et al, 2005aSadati et al, , 2005bSaez and Cipriano, 1997;Saha et al, 2004;Sousa, 2000;Wang, 2002;Zamarreno and Vega, 1999). This control strategy is realized based on the OFPM-FPC pairs, ie, the OFPMs of the system and the corresponding FPCs, while the IDM is organized based on the fuzzybased approach, as shown in Figure 4.…”