Fuzzy neural control

Fuzzy neural control refers to the use of fuzzy logic and neural networks to control motors, actuators, and in general, the behavior of processes. The rapidly increasing number of fuzzy logic applications in process control and consumer electronics, as well as theoretical and hardware advances in neuro-control, provide significant incentives for studying fuzzy neural control. Of particular interest to control designers may prove the maturity of novel hardware systems, such as fuzzy logic and neural network boards, customized chips, and even fuzzy computers, where the data will be stored and arithmetically processed as fuzzy numbers.

[1]  Madan M. Gupta,et al.  Introduction to Fuzzy Arithmetic , 1991 .

[2]  L. Zadeh Probability measures of Fuzzy events , 1968 .

[3]  Lefteri H. Tsoukalas,et al.  PERFORMANCE MONITORING AND DIAGNOSIS IN A PROCESS ENVIRONMENT USING A PROBABILITY-POSSIBILITY APPROACH. , 1988 .

[4]  Robert E. Uhrig Opportunities for automation and control of the next generation of nuclear power plants , 1989 .

[5]  L. Zadeh A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[6]  Tarun Khanna,et al.  Foundations of neural networks , 1990 .

[7]  Isao Hayashi,et al.  Construction of fuzzy inference rules by NDF and NDFL , 1992, Int. J. Approx. Reason..

[8]  James M. Keller,et al.  Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks , 1992, Int. J. Approx. Reason..

[9]  John A. Bernard,et al.  Use of a rule-based system for process control , 1988 .

[10]  Lefteri H. Tsoukalas,et al.  Hybrid expert system; Neural network methodology for transient identification , 1991 .

[11]  Paul J. Werbos,et al.  Neurocontrol and fuzzy logic: Connections and designs , 1992, Int. J. Approx. Reason..

[12]  Yoshiyasu Takefuji,et al.  Implementing fuzzy rule-based systems on silicon chips , 1990, IEEE Expert.

[13]  Lefteri H. Tsoukalas,et al.  A hybrid neural network---fuzzy logic approach to nuclear power plant transient identification , 1991 .

[14]  Isao Hayashi,et al.  NN-driven fuzzy reasoning , 1991, Int. J. Approx. Reason..

[15]  Lefteri H. Tsoukalas,et al.  COUPLED PROBABILITY-POSSIBILITY METHOD FOR DECISION-MAKING IN KNOWLEDGE-BASED SYSTEMS. , 1986 .

[16]  Lotfi A. Zadeh,et al.  Fuzzy sets and information granularity , 1996 .

[17]  Hamid R. Berenji,et al.  A reinforcement learning--based architecture for fuzzy logic control , 1992, Int. J. Approx. Reason..