IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Exponential H∞ filter design for uncertain Takagi-Sugeno fuzzy systems with time delay
Engineering Applications of Artificial Intelligence
Fuzzy adaptive terminal control for near space vehicle
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Novel direct adaptive fuzzy control system design
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Takagi-Sugeno fuzzy model based indirect adaptive fuzzy observer and controller design
Information Sciences: an International Journal
Robust L2-gain compensative control for direct-adaptive fuzzy-control-system design
IEEE Transactions on Fuzzy Systems
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In this paper, a fuzzy disturbance observer (FDO) is developed and its application to the control of a nonlinear system under the internal and external disturbances is presented. To construct the FDO, two parameter tuning methods are proposed and shown to be useful in adjusting the parameters of the FDO. The first tuning method employs the disturbance observation error to guarantee that the FDO monitors the unknown disturbance. The next one enlarges the concept of error and introduces augmented error to guarantee that the FDO monitors the disturbance and the control objective is achieved. In addition, the relationships between the suggested FDO-based control and the conventional adaptive fuzzy controls reported in the previous literatures are discussed and it is shown in a rigorous manner that the disturbance observation error or the augmented error converges to a region of which size can be kept arbitrarily small. Finally, some examples and computer simulation results are presented to illustrate the effectiveness and the applicability of the FDO