By Leticia Cervantes, Oscar Castillo, Patricia Melin (auth.), Ildar Batyrshin, Grigori Sidorov (eds.)
The two-volume set LNAI 7094 and 7095 constitutes the refereed court cases of the tenth Mexican overseas convention on man made Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The ninety six revised papers provided have been rigorously chosen from XXX submissions. the second one quantity comprises forty six papers targeting delicate computing. The papers are equipped within the following topical sections: fuzzy good judgment, uncertainty and probabilistic reasoning; evolutionary algorithms and different naturally-inspired algorithms; information mining; neural networks and hybrid clever platforms; and laptop imaginative and prescient and snapshot processing.
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Extra info for Advances in Soft Computing: 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part II
Interval versions of statistical techniques, with applications to environmental analysis, bioinformatics, and privacy in statistical databases. Journal of Computational and Applied Mathematics 199(2), 418–423 (2007) 11. : Towards combining probabilistic and interval uncertainty in engineering calculations: algorithms for computing statistics under interval uncertainty, and their computational complexity. Reliable Computing 12(6), 471–501 (2006) 12. : Fast algorithms for computing statistics under interval uncertainty: an overview.
We need the above mentioned elements to perform elevator control. The comparison of the control system was carried out by first using the PID controller for longitudinal control and then we compared the results obtained with the same plant but using a fuzzy controller that was created and eventually carried out the simulation of the 2 controllers and the comparison of the results of fuzzy control with respect to PID control. The fuzzy system has 3 inputs (stick, angle of attack and rate of elevation) and 1 output (elevators).
8. Comparison of entropy production in control object (Sp) and in controllers (left) and comparison of generalized entropy production (right) 32 A. Mishin and S. Ulyanov From the minimum control error criterion in teaching condition QFC has better performance than FC1, FC2. Consider now behavior of our control object in unpredicted control situations and investigate robustness property of designed controllers (Table 2). Table 2. 5 2) Control force boundaries: U x ≤ 10( N ), U y ≤ 10( N ) U x ≤ 10( N ), U y ≤ 10( N ) Unpredicted situation 1 Comparison of FC1, FC2 and QFC performances in situation 1 (see, Figs 9 – 11).