By Ren Xiaoping, Cai Zixing, Li Zhao, Wang Wuyi (auth.), Gary Lee (eds.)

2012 foreign convention on surroundings technology and 2012 overseas convention on machine technology (ICES 2012/ICCS 2012) could be held in Australia, Melbourne, 15‐16 March, 2012.Volume 2 comprises a few subject matters in clever method. There are fifty one papers have been chosen because the typical paper during this quantity. It comprises the newest advancements and displays the adventure of many researchers operating in numerous environments (universities, learn facilities or perhaps industries), publishing new theories and fixing new technological problems.

The goal of quantity 2 is interconnection of various medical fields, the cultivation of each attainable clinical collaboration, the trade of perspectives and the merchandising of recent learn goals in addition to the extra dissemination, the diffusion of clever process, together with yet now not restricted to clever method, Neural networks, computing device studying, Multimedia method and purposes, Speech Processing, photograph & video sign Processing and Computer‐Aided community layout the dispersion.

We are certain that the efforts of the authors in addition to the reviewers to supply excessive point contributions may be favored by way of the correct clinical group. we're confident that awarded quantity should be a resource of information and thought for all educational individuals, researchers and practitioners operating in a box of the subject lined by way of the book.

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Extra resources for Advances in Intelligent Systems: Selected papers from 2012 International Conference on Control Systems (ICCS 2012), March 1-2, Hong Kong

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Adaptive variable structure control of MIMO nonlinear systems with time-varying delays and unknown dead-zones. International Journal Automation and Computing 6, 124–136 (2009) 6. : Adaptive output feedback control for nonlinear time-delay systems using neural network. Journal of Control Theory and Applications 4, 313–320 (2006) 7. : Adaptive neural network control of nonlinear systems with unknown time delays. IEEE Transactions on Automatic Control 48, 2004–2010 (2003) 8. : Robust Control of Nonlinear Uncertain Systems.

By using (19), (21), and (23), and with some completion of squares and 48 G. Ji straightforward derivation similar to those employed in the former steps, the derivative of Vn becomes n n k =1 k =1 Vn < −∑ ck 0 zk 2 − ∑ σ k1 Wk1 2 2 n −∑ σ k 2 Wk 2 2 k =1 n +∑ * 2 k1 σ k1 W 2 k =1 n Let δ  ∑ σ k1 Wk*1 k =1 2 2 n +∑ σ k 2 Wk*2 2 k =1 2 n +∑ σ k 2 Wk*2 2 k =1 2 n ε k*2 k =1 4ck 1 +∑ 2 n ε k*2 k =1 4ck 1 +∑ d k*2 k =1 4 pk n +∑ (24) d k*2 . If we choose ck 0 such that k =1 4 pk n +∑ γ , k = 1, 2," , n , where γ is a positive constant, and choose σ k 1 , σ k 2 , Γ k 1 2 and Γ k 2 such that σ k 1 ≥ γλmax {Γ k 1−1 } , σ k 2 ≥ γλmax {Γ k 2 −1} , k = 1, 2," , n , then ck 0 > from (24) we have the following inequality: n n Vn < −∑ ck 0 zk − ∑ 2 k =1 n < −∑ γ 2 k =1 n γ Wk1T Γ k1−1Wk1 k =1 2 zk 2 − ∑ 2 = −γ Vn + δ k =1 σ k1 Wk1 2 n −∑ σ k 2 Wk 2 k =1 2 2 +δ n γ Wk 2T Γ k 2 −1Wk 2 k =1 2 −∑ +δ (25) The following theorem shows the stability and control performance of the closed-loop adaptive system.

The controller algorithm is designed as follows. 1 Making Precise Quantity to Fuzzy Quantity This system adopts the two-dimensional fuzzy controller algorithm which is widely used at present. Suppose the fuzzy variables are that: “e” stands for the temperature difference, “el” stands for the relative humidity difference, “f” stands for the output variable. The corresponding fuzzy variable values are selected as follows: e= {NB, NS, ZO, PS, PB} el= {NH, NL, ZO, PL, PH} f = { L, M, H } An Artificial Intelligence Central Air-Conditioning Controller 23 To blur the quantity, it needs to obtain subordination function of various words collection.

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