By Yingmin Jia, Junping Du, Hongbo Li, Weicun Zhang

ISBN-10: 366248384X

ISBN-13: 9783662483848

ISBN-10: 3662483866

ISBN-13: 9783662483862

This booklet provides chosen learn papers from the 2015 chinese language clever platforms convention (CISC’15), held in Yangzhou, China. the themes coated comprise multi-agent structures, evolutionary computation, man made intelligence, advanced structures, computation intelligence and delicate computing, clever keep an eye on, complex regulate know-how, robotics and functions, clever details processing, iterative studying keep watch over, and computing device studying. Engineers and researchers from academia, and the govt. can achieve worthwhile insights into strategies combining rules from a number of disciplines within the box of clever systems.

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**Extra info for Proceedings of the 2015 Chinese Intelligent Systems Conference: Volume 1**

**Example text**

34 P. Lu et al. Let’s denote the i-th column of the rotation matrix R by ri. So Eq. 5 can be written as: 2 3 u 4 v 5 = sM 1 ½ r1 1 3 XW 6 YW 7 7 t 6 4 0 5 = sM 1 ½ r1 1 2 r2 r3 2 3 2 3 XW XW t 4 YW 5 = H 4 YW 5 ð4:8Þ 1 1 r2 where s is an arbitrary scale factor. Let 2 h11 H = 4 h21 h31 h = ½ h11 h12 h13 h21 h12 h22 h32 3 h13 h23 5 1 h22 h23 ð4:9Þ h31 h32 1 T ð4:10Þ Then obtain: XW 0 YW 0 1 0 0 XW 0 YW 0 1 − uXW − vXW − uYW − vYW −u h=0 −v ð4:11Þ Each point can be shown above the two equations.

This paper is organized as follows. The online identiﬁcation is given in Sect. 2 and the robust adaptive controller is proposed in Sect. 3. Finally, Sect. 4 provides some numerical simulation and some conclusions are provided in Sect. 5. 5 Online Identiﬁcation and Robust Adaptive Control for Discrete . . 2 Online Identification of Discrete Preisach Model In this section we review the discrete Preisach model and the oﬀ-line identiﬁcation [3]. Based on our prior work, we expand the results of [3] and propose a new online identiﬁcation with triangle matrices for discrete hysteresis Preisach model.

Rosenbaum et al. [13] considered hysteresis models in the scalar form and applied inverse feedforward control for electromagnetic actuators. An adaptive output feedback controller was presented for a class of single-input-single-output (SISO) nonlinear systems in Li and Tan [11], where the unknown hysteresis nonlinearity was represented by the Preisach model. Liu et al. [14] proposed a discrete composite control strategy with a feedforward-feedback structure where the feedforward controller was the inverse model and the feedback controller was secondary proportional-integral (PI) controller to control the hysteresis system accurately.

### Proceedings of the 2015 Chinese Intelligent Systems Conference: Volume 1 by Yingmin Jia, Junping Du, Hongbo Li, Weicun Zhang

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