3W. LI, X. G. Chang. Application of Hybrid Fuzzy Logic Proportional plus Conventional Integral-derivative Con- troller to Combustion Control of Stroker-fired Boilers. Fuzzy Sets and Systems, 2000, 114(2) : 267 - 284.
5A.Visioli.Fuzzy Logic Based Set-point Weight Tuning of PID Controllers.IEEE Trans.on Systems,Man and Cybernetics, Part A,1999,29(4):587-592.
6H.Ying.A Fuzzy Controller with Lin- ear Control Rules is the Sum of a Global Two-dimension Multilevel Re- lay and a Local Nonlinear Propor- tional-integral Controller. Automatica, 1993,29(4) : 499 - 505.
3Mamdani, E.H. Applications of algorithms for control of simple dynamic plant[J]. Proc IEEE, 1974,121 (12) :40-45
4BRISTOL E H. On a New Measure of Interactions for Muhivaliable Process Control [ J ]. IEEE Transactions on Automatic Control, 1966,11 : 133 - 134.
5HOW K,XU W,ZHOU J R,et al. The Direct Nyquist Array Design of PID Controllers[ J]. IEEE Transactions on Industrial Electronics,2000,47( 1 ) : 175 - 185.
6LUYBEN W L. Simple Method for Turning SISO Controllers in Multivariable System[ J]. Industrial and Engineering Chemistry Process Design and Development, 1986,25:654- 660.
7WANG Qing-guo, HUANG Bin, GUO Xin. Auto-tuning of TITO Decoupling Controllers from Step Tests[ J]. ISA Transactions,2000,39:407 - 418.
8TAVAKOLI S, GRIFFIN I, FLEMING P J. Tuning of Decentralised PI ( PID ) Controllers for TITO Processes [ J ]. Control Engineering Practice,2006,14 : 1069 - 1080.
9CAI Wen-jian,Nl Wei, HE Mao-jun,et al. Normalized Decoupiing - A New Approach for MIMO Process Control System Design [ J ]. Industrial and Engineering Chemistry Research, 2008,47(19) :7347 -7356.
10POMERLEAU D,POMERLEAU A. Guide Linesfor the Tuningand the Evaluation of Decentralized and Decoupling Controllers for Processes with Recirculation [ J ]. ISA Transactions,2001,40:341 - 351.