TY - GEN
T1 - Predictive fuzzy PID control for complex processes
AU - Lu, Jialiang
AU - Ranganathan, Rayanallur S.
AU - Chen, Guanrong
AU - Malki, Heidar A.
PY - 2000/5
Y1 - 2000/5
N2 - In this paper, a new structure of predictive fuzzy PID Controller is proposed. The new controller is robust and effective in controlling higher order and time-delayed complex processes. The proposed predictive fuzzy PID controller combines the fuzzy PID and Generalized Predictive Control (GPC) ideas together, and is equipped with optimization capability that minimizes a cost function. These features make the new controller more effective than individual fuzzy PID and GPC controllers in handling nonlinear systems. Computer simulations are shown for various types of process stabilization and set point tracking problems. © 2000 IEEE
AB - In this paper, a new structure of predictive fuzzy PID Controller is proposed. The new controller is robust and effective in controlling higher order and time-delayed complex processes. The proposed predictive fuzzy PID controller combines the fuzzy PID and Generalized Predictive Control (GPC) ideas together, and is equipped with optimization capability that minimizes a cost function. These features make the new controller more effective than individual fuzzy PID and GPC controllers in handling nonlinear systems. Computer simulations are shown for various types of process stabilization and set point tracking problems. © 2000 IEEE
UR - https://www.scopus.com/pages/publications/0033690902
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033690902&origin=recordpage
U2 - 10.1109/FUZZY.2000.839051
DO - 10.1109/FUZZY.2000.839051
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0-7803-5877-5
VL - 2
SP - 544
EP - 548
BT - IEEE International Conference on Fuzzy Systems
PB - IEEE
T2 - 9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000)
Y2 - 7 May 2000 through 10 May 2000
ER -