ADAPTIVE NEURAL-NETWORK PREDICTIVE CONTROL FOR NONMINIMUM-PHASE NONLINEAR PROCESSES

References

• Aoyama , A. , Doyle , III , F. J. , and Venkatasubramanian , V. ( 1996 ). Control-affine neural network approach for nonminimum-phase nonlinear process control , J. Process Control , 6 , 17 – 26 .
   Google Scholar
• Chen , S. and Billings , S. A. ( 1989 ). Representations of nonlinear systems: The NARMAX model , Int. J. Control , 49 , 1013 – 1032 .
   Web of Science ®Google Scholar
• Gamboa-Torres , A. E. and Flores-Tlacuahuac , A. ( 2000 ). Effect of process modeling on the nonlinear behavior of a CSTR reactions A → B → C, . Chem. Eng. J. , 77 , 153 – 164 .
   Google Scholar
• Gao , F. , Wang , F. , and Li , M. ( 2000 ). A simple nonlinear controller with diagonal recurrent neural network , Chem. Eng, Sci. , 55 , 1283 – 1288 .
   Google Scholar
• Ge , S. S. , Li , G. Y. , and Lee , T. H. (2003). Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems, Automatica , 39, 807–819.
   Web of Science ®Google Scholar
• Hoo , K. A. , Sinzinger , E. D. , and Piovoso , M. J. ( 2002 ). Improvements in the predictive capability of neural network , J. Process Control , 12 , 193 – 204 .
   Google Scholar
• Kambhampati , C. , Mason , J. D. , and Warwick , K. ( 2000 ). A stable one-step-ahead predictive control of nonlinear systems , Automatica , 36 , 485 – 495 .
   Web of Science ®Google Scholar
• Kumar , K. K. and Patwardhan , S. C. ( 2002 ). Nonlinear predictive control of systems exhibiting input multiplicities using the multimodel approach , Ind. Eng. Chem. Res. , 41 , 3186 – 3198 .
   Google Scholar
• Lazar , M. and Pastravanu , O. ( 2002 ). A neural predictive controller for nonlinear systems , Math. Comput. Simul. , 60 , 315 – 324 .
   Google Scholar
• Lewis , F. L. , Jagannathan , S. , and Yeşildirek , A. ( 1999 ). Neural Network Control of Robot Manipulators and Nonlinear Systems , Taylor & Francis , London .
   Google Scholar
• Narendra , K. S. and Lewis , F. L. ( 2001 ). Introduction to the special issue on neural network feedback control , Automatica , 37 , 1147 – 1148 .
   Web of Science ®Google Scholar
• Niemiec , M. P. and Kravaris , C. ( 2003 ). Nonlinear model-state feedback control for nonminimum-phase processes , Automatica , 39 , 1295 – 1302 .
   Google Scholar
• Noriega , J. and Wang , H. ( 1998 ). A direct adaptive neural-network control for unknown nonlinear systems and its application , IEEE Trans. Neural Netw. , 9 , 27 – 33 .
   PubMed Web of Science ®Google Scholar
• Poznyak , A. S. , Yu , W. , Sanchez , E. N. , and Perez , J. P. ( 1999 ). Nonlinear adaptive trajectory tracking using dynamic neural networks , IEEE Trans. Neural Netw. , 10 , 1402 – 1411 .
   PubMed Web of Science ®Google Scholar
• Slotine , J. J. E. and Li , W. ( 1991 ). Applied Nonlinear Control , Prentice Hall , Englewood Cliffs , N.J .
   Google Scholar
• Vila , J. P. and Wagner , V. ( 2003 ). Predictive neuro-control of uncertain systems: Design and use of a neuro-optimizer , Automatica , 39 , 767 – 777 .
   Google Scholar
• Wright , B. A. and Kravaris , C. ( 1992 ). Nonminimum-phase compensation for nonlinear processes , AIChE J. , 38 , 26 – 40 .
   Google Scholar
• Wu , W. ( 1999a ). Stable inverse control for nonminimum-phase nonlinear processes , J. Process Control , 9 , 171 – 183 .
   Google Scholar
• Wu , W. ( 1999b ). Adaptive nonlinear control of nonminimum-phase processes , Chem. Eng. Sci. , 54 , 3815 – 3829 .
   Google Scholar
• Yu , W. and Li , X. ( 2003 ). Discrete-time neuro identification without robust modification , IEE Proc. Control Theory Appl. , 150 , 311 – 316 .
   Google Scholar