Kreesuradej, Worapoj

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Preferred name
Kreesuradej, Worapoj
Alternative Name
Kreesuradej, W.
Main Affiliation
Email
worapoj.kr@kmitl.ac.th

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1998 - 19992

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    Item type:Publication,
    Fast adaptive fuzzy autoregressive model
    (1999-12-01)
    Kreesuradej, Worapoj
    ;
    Bunyarodol, Decha
    In this paper, a fuzzy autoregressive model with a multiple criteria adaptive algorithm is proposed. The proposed algorithm consists of two independent criteria for adjusting the fuzzy rules and some related parameters. First, the proposed algorithm adapts the existent fuzzy rules by gradient descent method based on predicting error criteria. In addition to rule adaptation, the learning rate of each rule adaptation can also be adjusted based on matching of rule confidence of each fuzzy rule. With the combination of the two independent criteria for adaptation, the proposed algorithm can increase the speed of learning.
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    New adaptive fuzzy nonlinear control strategy
    (1998-12-01)
    Kreesuradej, Worapoj
    This paper proposes a new adaptive fuzzy nonlinear control strategy that allows designers to systematically construct the fuzzy control. The control strategy proposes the use of fuzzy logic system within a well understand control structure that is called nonlinear internal model control (NIMC) structure. The attractive features of the NIMC structure is that the relations between some designed parameters and the performance of the control system can be found explicitly. Thus, this control structure allows designers to systematically construct the fuzzy control. In addition to using fuzzy logic system within a well understand control structure, an adaptive control strategy is also proposed in this paper. The control strategy is applied to control the inverted pendulum model. The results show that the proposed strategy can maintain the system stability and give a good control performance.