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Volume 18, Issue 9
Displaying 1-5 of 5 articles from this issue
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Tsuyoshi KIYAMA, Mitsuyoshi TAKENAKA2005 Volume 18 Issue 9 Pages 301-311
Published: September 15, 2005
Released on J-STAGE: October 13, 2011
JOURNAL FREE ACCESSThis paper considers a regional quadratic performance analysis and state feedback synthesis method based on a polytopic approach for linear time invariant systems with saturation nonlinearities. In particular, a domain of quadratic performance is defined as a region of initial states in order to satisfy a quadratic performance. In the analysis case, the polytopic approach is theoretically less conservative than both the circle criterion and the existing linear analysis. However, in the synthesis case, the synthesis condition with the polytopic approach is theoretically equivalent to one with the circle criterion or the linear analysis in the meaning of the same achievable domains or quadratic performance levels in spite of obtaining different state feedback controllers respectively. Finally, this paper proposes a synthesis method making use of effectiveness of the polytopic approach.View full abstractDownload PDF (1762K) -
Tadashi SATO, Tadashi EGAMI, Takeshi TSUCHIYA2005 Volume 18 Issue 9 Pages 312-321
Published: September 15, 2005
Released on J-STAGE: October 13, 2011
JOURNAL FREE ACCESSThis paper propose new design method of discrete-time sliding-mode preview reptitive servo systems. First, an augmented error system which contains periodicity signal, is introduced. Next, the construction of an linear slide mode servo system using augmented system is shown. Then, the preview feed forward compensation based on the optimal control theory is applied. This method not only has the advantage of conventional preview repetition servo system, but has the robustness it is ineffective by the conventional method. The computer experimental results on LDM position control system show the effectiveness of proposed design method.View full abstractDownload PDF (1237K) -
Katsuhiro HONDA, Hidetomo ICHIHASHI2005 Volume 18 Issue 9 Pages 322-330
Published: September 15, 2005
Released on J-STAGE: October 13, 2011
JOURNAL FREE ACCESSKnowledge discovery in databases (KDD) or data mining involves fitting models to or determining patterns from high dimensional data sets, and extraction of correlation rules plays an important role. This paper proposes a new approach to knowledge discovery with linear model estimation, in which principal component analysis (PCA) is performed by selecting variables. The proposed algorithm is a hybrid of fuzzy clustering and PCA based on lower rank approximation of data matrix, in which the relative responsibilities of the variables are estimated by using possibilistic constraint for memberships. The proposed algorithm is also enhanced to a local PCA model that can be used for data mining by performing both of linear model estimation and stratified sampling.View full abstractDownload PDF (1399K) -
Hideki NISHIGAITO, Shigeru YAMAMOTO2005 Volume 18 Issue 9 Pages 331-339
Published: September 15, 2005
Released on J-STAGE: October 13, 2011
JOURNAL FREE ACCESSWe consider a class of discrete-time state-reset systems with a state-reset mechanism, where some elements of the state vector is reset to particular values when the elements exceeds a prescribed threshold. For the state-reset system we derive the state invariant set. Furthermore, as an example of state-reset systems, we also consider a network-type decentralized control system and show that the invariant set of the state estimation error exists.View full abstractDownload PDF (1016K) -
Yoshiki MIHARA, Hideki SANO2005 Volume 18 Issue 9 Pages 340-342
Published: September 15, 2005
Released on J-STAGE: October 13, 2011
JOURNAL FREE ACCESSDownload PDF (661K)
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