Volume 2013, Article ID 346103,10pages http://dx.doi.org/10.1155/2013/346103
Research Article
Controllability Robustness of Linear Interval
Systems with/without State Delay and with Unstructured
Parametric Uncertainties
Shinn-Horng Chen
1and Jyh-Horng Chou
1,2,31Department of Mechanical/Electrical Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road,
Kaohsiung 807, Taiwan
2Institute of Electrical Engineering and Department of Mechanical and Automation Engineering,
National Kaohsiung First University of Science and Technology, 1 University Road, Yanchao, Kaohsiung 824, Taiwan
3Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100 Shi-Chuan 1st Road,
Kaohsiung 807, Taiwan
Correspondence should be addressed to Jyh-Horng Chou; choujh@nkfust.edu.tw Received 29 April 2013; Accepted 18 June 2013
Academic Editor: Elena Braverman
Copyright © 2013 S.-H. Chen and J.-H. Chou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The robust controllability problem for the linear interval systems with/without state delay and with unstructured parametric uncertainties is studied in this paper. The rank preservation problem is converted to the nonsingularity analysis problem of the minors of the matrix under discussion. Based on some essential properties of matrix measures, two new sufficient algebraically elegant criteria for the robust controllability of linear interval systems with/without state delay and with unstructured parametric uncertainties are established. Two numerical examples are given to illustrate the applications of the proposed sufficient algebraic criteria, where one example is also presented to show that the proposed sufficient condition for the linear interval systems having no state delay and no unstructured parametric uncertainties can obtain less conservative results than the existing ones reported recently in the literature.
1. Introduction
It is well known that time delay effect may occur naturally because of the inherent characteristics of some system com-ponents or part of the control process [1,2]. In addition, the controllability is of particular importance in control theory and plays an important role in dynamic control systems [3,4]. Then, the controllability problem of continuous linear time delay systems has been studied by some researchers (see, e.g., [2, 5–15]). On the other hand, the problems of con-trolling objects whose models contain interval uncertainties arise from the control theory, differential games, operations research, and other areas of engineering and natural sciences [16]. However, the results reported in the literature [2,5–15] cannot be applied to solve the robust controllability problems of the linear interval systems with state delay.
For the time delay systems, there are two cases considered in the literature: (i) delay in state and (ii) delay in control input. The authors of this paper have studied the control-lability problem of the uncertain/interval system with delay
in control input [17–19], whereas the controllability problem
of the interval system with delay in state is considered in this paper. Here it should be noticed that the controllability problem of the continuous linear systems with both paramet-ric uncertainties and delay in state has been considered by Chen and Chou [20]. The same mathematical means as that used by Chen et al. [17,18] and Chen and Chou [19] is used in this paper, but the rationale, formulation, and concept of analyzing controllability for the delay in state case are very different from those for the delay in control input case. On the other hand, here it should be also noticed that, in the works of Chen et al. [18] and Chen and Chou [19], all the
2 Abstract and Applied Analysis elements in the interval system matrix and in the interval
input matrices, respectively, are assumed to vary with both synchronous direction and same magnitude. So, the results of Chen et al. [18] and Chen and Chou [19] cannot be used to cover all matrices in the interval system.
Recently, the robustness issues of interval multiple-input-multiple-output (MIMO) systems without state delay have been studied by many researchers (see, e.g., [16, 17,21–31] and references therein). But, till now, only a few researchers studied the controllability issue of the interval MIMO systems without state delay [16,19–25,31]. The approaches proposed by Zhirabok [24] and Ashchepkov [16,25] need to consider the solvability of dynamic systems. Most notably, the methods proposed by Cheng and Zhang [21], Ahn et al. [22], Chen et al. [23] as well as Chen and Chou [19,20,31] give algebraically elegant derivations. However, the interval matrices consid-ered by Cheng and Zhang [21] must satisfy the sign-invariant condition, and all the interval matrices considered by Chen and Chou [31] must have the same variations.
On the other hand, it is well known that an approximate system model is always used in practice, and sometimes the approximation error should be covered by introducing both structured (elemental) and unstructured (norm-bounded) uncertainties in control system analysis and design [32]. That is, it is not unusual that at times we have to deal with a system simultaneously consisting of two parts: one part has only the structured parameter perturbations and the other part has the unstructured parameter uncertainties. Here it should be noticed that the system with structured uncertainties may be viewed as a special case of the interval system [33–35]. To the authors’ best knowledge, the robust controllability problem of linear interval systems with/without state delay and with unstructured parametric uncertainties has not been studied in the literature.
The purpose of this paper is to study the robust controlla-bility problem of linear interval MIMO systems with/without state delay and with unstructured parametric uncertainties. Based on some essential properties of matrix measures, two new sufficient algebraic criteria are proposed to guarantee the controllability robustness of linear interval MIMO systems with/without state delay and with unstructured parametric uncertainties. The proposed approach gives the algebraically elegant derivations. Two numerical examples are given in this paper to illustrate the applications of the proposed sufficient algebraic criteria. And, for the linear interval systems without both state delay and unstructured parametric uncertainties, the result is also given to compare with those results obtained from the existing methods reported in the literature.
2. Linear Interval Systems with Both State
Delay and Unstructured Uncertainties
Let𝐷 = {𝑑𝑖𝑗} and 𝐷 = {𝑑𝑖𝑗} be real 𝛼 × 𝛽 matrices satisfying 𝐷 ≤ 𝐷, that is, 𝑑𝑖𝑗 ≤ 𝑑𝑖𝑗, 𝑖 = 1, 2, . . . , 𝛼 and 𝑗 = 1, 2, . . . , 𝛽. The set of matrices[𝐷, 𝐷] = {𝐷; 𝐷 ≤ 𝐷 ≤ 𝐷} is called an interval matrix. Consider a linear interval MIMO system with both state delay and unstructured parametric uncertainties as the following form:
̇𝑥 (𝑡) = 𝐴𝑥 (𝑡) + ̃𝐴𝑥 (𝑡) + 𝐵𝑥 (𝑡 − 𝜏)
+ ̃𝐵𝑥 (𝑡 − 𝜏) + 𝐶𝑢 (𝑡) + ̃𝐶𝑢 (𝑡) , (1) where𝑥(𝑡) ∈ 𝑅𝑛is the system state vector,𝑢(𝑡) ∈ 𝑅𝑚is the control input vector,𝜏 > 0 denotes the time delay, 𝐴 ∈ [𝐴, 𝐴], 𝐵 ∈ [𝐵, 𝐵], and 𝐶 ∈ [𝐶, 𝐶] are, respectively, the 𝑛 × 𝑛, 𝑛 × 𝑛, and𝑛 × 𝑚 interval matrices, and the unstructured parametric matrices ̃𝐴, ̃𝐵, and ̃𝐶 are assumed to be bounded, that is,
𝐴 ≤ 𝛽̃ 1, ̃𝐵 ≤ 𝛽2, 𝐶 ≤ 𝛽̃ 3, (2)
where𝛽1,𝛽2, and𝛽3are nonnegative real constant numbers, and ‖ ⋅ ‖ denotes any matrix norm. Let ̂Β𝑎 be the Banach space of real𝑛-vector-valued continuous functions defined on the interval[𝑡0− 𝜏, 𝑡0] with the uniform norm; that is, if Φ ∈ ̂Β𝑎, we have‖Φ‖ = max𝑡∈[𝑡0−𝜏,𝑡0]|Φ(𝑡)|. The initial
func-tion space is assumed to be ̂Β𝑎, the space of continuous func-tions mapping[𝑡0− 𝜏, 𝑡0] into 𝑅𝑛, and the𝑅𝑚-valued control function 𝑢(𝑡) is measurable and bounded on every finite time interval [6]. The system in (1), called the linear inter-val MIMO system with both state delay and unstructured parametric uncertainties, is said to be controllable if each combination( ̂𝐴, ̂𝐵, ̂𝐶) is controllable, where ̂𝐴 = 𝐴 + ̃𝐴, ̂𝐵 = 𝐵 + ̃𝐵, ̂𝐶 = 𝐶 + ̃𝐶, 𝐴 ∈ [𝐴, 𝐴], 𝐵 ∈ [𝐵, 𝐵], and 𝐶 ∈ [𝐶, 𝐶].
For an interval matrix[𝐷, 𝐷] and for 𝑑𝑖𝑗−𝑑0𝑖𝑗≤ 𝜀𝑖𝑗≤ 𝑑𝑖𝑗− 𝑑0𝑖𝑗, the 𝛼 × 𝛽 matrix 𝐷 = 𝐷0+ ∑𝛼𝑖=1∑𝛽𝑗=1𝜀𝑖𝑗𝐷𝑖𝑗denotes that it varies between𝐷 and 𝐷, in which 𝐷 = [𝑑𝑖𝑗] and 𝐷 = [𝑑𝑖𝑗] are, respectively, the lower bound and upper bound matrices of interval matrix,𝐷𝑖𝑗is an𝛼 × 𝛽 constant matrix with 1 in the ijth entry and 0 elsewhere, and𝐷0 = [𝑑0𝑖𝑗] ∈ [𝐷, 𝐷] is any given constant matrix. Then, the interval matrices[𝐴, 𝐴], [𝐵, 𝐵], and [𝐶, 𝐶] can be written as
[𝐴, 𝐴] = 𝐴0+ 𝑛 ∑ 𝑖=1 𝑛 ∑ 𝑗=1 𝜀𝑎𝑖𝑗𝐴𝑖𝑗, [𝐵, 𝐵] = 𝐵0+∑𝑛 𝑖=1 𝑛 ∑ 𝑗=1 𝜀𝑏𝑖𝑗𝐵𝑖𝑗, [𝐶, 𝐶] = 𝐶0+∑𝑛 𝑗=1 𝑚 ∑ 𝑘=1 𝜀𝑐𝑗𝑘𝐶𝑗𝑘, (3) where𝐴 = [𝑎𝑖𝑗], 𝐴 = [𝑎𝑖𝑗], 𝐵 = [𝑏𝑖𝑗], 𝐵 = [𝑏𝑖𝑗], 𝐶 = [𝑐𝑖𝑗], 𝐶 = [𝑐𝑖𝑗], 𝐴𝑖𝑗, 𝐵𝑖𝑗, and 𝐶𝑗𝑘 are, respectively, 𝑛 × 𝑛, 𝑛 × 𝑛, and
𝑛 × 𝑚 constant matrices with 1 in the ijth or jkth entry and 0 elsewhere (for𝑖, 𝑗 = 1, 2, . . . , 𝑛 and 𝑘 = 1, 2, . . . , 𝑚), 𝑎𝑖𝑗−𝑎0𝑖𝑗≤ 𝜀𝑎𝑖𝑗 ≤ 𝑎𝑖𝑗− 𝑎0𝑖𝑗,𝑏𝑖𝑗− 𝑏0𝑖𝑗 ≤ 𝜀𝑏𝑖𝑗 ≤ 𝑏𝑖𝑗− 𝑏0𝑖𝑗, and𝑐𝑗𝑘− 𝑐0𝑗𝑘 ≤ 𝜀𝑐𝑗𝑘≤ 𝑐𝑗𝑘− 𝑐0𝑗𝑘, and𝐴0= [𝑎0𝑖𝑗] ∈ [𝐴, 𝐴], 𝐵0= [𝑏0𝑖𝑗] ∈ [𝐵, 𝐵], and𝐶0= [𝑐0𝑗𝑘] ∈ [𝐶, 𝐶] are, respectively, any given 𝑛 × 𝑛, 𝑛 × 𝑛, and 𝑛 × 𝑚 constant matrices with that the combination (𝐴0, 𝐵0, 𝐶0) is controllable.
Before we investigate the property of robust controllabil-ity for the linear interval system with both state delay and un-structured parametric uncertainties of (1), the following def-initions and lemmas need to be introduced first.
(x)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.86400 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [0, 0.4] , 𝜀𝑏31∈ [0, 1] , 𝜀𝑐22 ∈ [−0.01, 0] ; (39j) (xi)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.75766 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [0, 0.4] , 𝜀𝑏31∈ [−0.5, 0] , 𝜀𝑐22∈ [−0.01, 0] ; (39k) (xii)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.73766 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [0, 0.4] , 𝜀𝑏31 ∈ [−0.5, 0] , 𝜀𝑐22∈ [0, 1.6] ; (39l) (xiii)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.77189 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [−0.4, 0] , 𝜀𝑏31∈ [0, 1] , 𝜀𝑐22∈ [0, 1.6] ; (39m) (xiv)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.79189 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [−0.4, 0] , 𝜀𝑏31∈ [0, 1] , 𝜀𝑐22∈ [−0.01, 0] ; (39n) (xv)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.68554 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [−0.4, 0] , 𝜀𝑏31∈ [−0.5, 0] , 𝜀𝑐22∈ [−0.01, 0] ; (39o) (xvi)𝜀𝑎21𝜙21+ 𝜀𝑎32𝜙32+ 𝜀𝑏31𝜑31+ 𝜀𝑐22𝜃22+ 𝛽1+ 𝛽2+ 𝛽3≤ 0.66554 < 1, for 𝜀𝑎21∈ [−0.6, 0] , 𝜀𝑎32∈ [−0.4, 0] , 𝜀𝑏31 ∈ [−0.5, 0] , 𝜀𝑐22∈ [0, 1.6] . (39p) Hence, from the results obtained above, we can conclude that, for any𝜏 > 0, the linear interval system with both state delay and unstructured parametric uncertainties is robustly controllable in sense of Weiss [6].
5. Conclusions
The robust controllability problem for the linear interval MIMO system with/without state delay and with unstruc-tured parametric uncertainties has been investigated. The
rank preservation problem for robust controllability of the linear interval system with/without state delay and with unstructured parametric uncertainties is converted to the nonsingularity analysis problem. Based on some essential properties of matrix measures, two new sufficient algebra-ically elegant criteria for the robust controllability of linear in-terval MIMO systems with/without state delay and with un-structured parametric uncertainties have been established. Two numerical examples have been given to illustrate the applications of the proposed sufficient algebraic criteria. It has also been shown that the proposed sufficient criterion for linear interval systems having no state delay and no unstruc-tured parametric uncertainties can obtain less conservative results than the existing sufficient criteria given by Cheng and Zhang [21], Ahn et al. [22], Chen et al. [23], and Chen and Chou [19,20,31].
Acknowledgment
This work was in part supported by the National Science Council, Taiwan, under Grants nos. NSC101-2221-E151-031 and NSC101-2221-E-151-076.
References
[1] S. H. Chen, J. H. Chou, and L. A. Zheng, “Stability robustness of linear output feedback systems with both time-varying struc-tured and unstrucstruc-tured parameter uncertainties as well as de-layed perturbations,” Journal of the Franklin Institute, vol. 342, no. 2, pp. 213–234, 2005.
[2] S. A. He and I. K. Fong, “Time-delay effects on controllability in LTI systems,” in Proceedings of the ICROS-SICE International
Joint Conference (ICCAS-SICE ’09), pp. 327–332, Fukuoka,
Japan, August 2009.
[3] H. H. Rosenbrock, State-Space and Multivariable Theory, John Wiley & Sons, New York, NY, USA, 1970.
[4] S. Sojoudi, J. Lavaei, and A. G. Aghdam, “Robust controllability and observability degrees of polynomially uncertain systems,”
Automatica, vol. 45, no. 11, pp. 2640–2645, 2009.
[5] L. Weiss, “On the controllability of delay-differential systems,”
SIAM Journal on Control, vol. 5, pp. 575–587, 1967.
[6] L. Weiss, “An algebraic criterion for controllability of linear sys-tems with time delay,” IEEE Transactions on Automatic Control, vol. 15, pp. 443–444, 1970.
[7] G. A. Hewer, “A note on controllability of linear systems with time delay,” IEEE Transactions on Automatic Control, vol. 17, no. 5, pp. 733–734, 1972.
[8] L. D. Levsen and G. J. Nazaroff, “A note on the controllability of linear time-variable delay systems,” IEEE Transactions on
Automatic Control, vol. 18, no. 2, pp. 188–189, 1973.
[9] K. P. M. Bhat and H. N. Koivo, “Modal characterizations of con-trollability and observability in time delay systems,” IEEE
Trans-actions on Automatic Control, vol. 21, no. 2, pp. 292–293, 1976.
[10] M. Fliess and H. Mounier, “Controllability and observability of linear delay systems: an algebraic approach,” ESAIM: Control,
Optimisation and Calculus of Variations, vol. 3, pp. 301–314,
1998.
[11] J. P. Richard, “Time-delay systems: an overview of some recent advances and open problems,” Automatica, vol. 39, no. 10, pp. 1667–1694, 2003.
10 Abstract and Applied Analysis
[12] X. Yu and B. Shou, “The effect of small delays in state-feedbacks on controllability of linear systems,” in Proceedings of IEEE
Inter-national Conference on Control and Automation (ICCA ’07), pp.
3265–3268, Guangzhou, China, June 2007.
[13] S. Yi, P. W. Nelson, and A. G. Ulsoy, “Controllability and observ-ability of systems of linear delay differential equations via the Matrix Lambert𝑊 function,” IEEE Transactions on Automatic
Control, vol. 53, no. 3, pp. 854–860, 2008.
[14] S. Yi, P. W. Nelson, and A. G. Ulsoy, Time-Delay Systems, World Scientific, New Jersey, NJ, USA, 2010.
[15] D. D. Thuan, “The structured controllability radius of linear delay systems,” International Journal of Control, vol. 86, no. 3, pp. 512–518, 2013.
[16] L. T. Ashchepkov, “The controllability of an interval linear dis-crete system,” Journal of Computer and Systems Sciences
Inter-national, vol. 46, no. 3, pp. 399–406, 2007.
[17] S. H. Chen, F. I. Chou, and J. H. Chou, “Robust controllability of linear systems with multiple delays in control,” IET Control
Theory & Applications, vol. 6, no. 10, pp. 1552–1556, 2012.
[18] S. H. Chen, F. I. Chou, and J. H. Chou, “Robust controllability of linear interval systems with multiple control delays,”
Interna-tional Journal of Systems Science, vol. 44, no. 12, pp. 2321–2327,
2013.
[19] S. H. Chen and J. H. Chou, “Controllability robustness of linear interval systems with delay in control and unstructured uncer-tainties,” IMA Journal of Mathematical Control and Information, 2013.
[20] S. H. Chen and J. H. Chou, “Algebraic criterion for robust con-trollability of continuous linear time-delay systems with para-metric uncertainties,” Journal of the Franklin Institute, 2013. [21] B. Cheng and J. Zhang, “Robust controllability for a class of
uncertain linear time-invariant MIMO systems,” IEEE
Transac-tions on Automatic Control, vol. 49, no. 11, pp. 2022–2027, 2004.
[22] H. S. Ahn, K. L. Moore, and Y. Q. Chen, “Linear independency of interval vectors and its applications to robust controllability tests,” in Proceedings of the 44th IEEE Conference on Decision
and Control, and the European Control Conference (CDC-ECC ’05), pp. 8070–8075, Seville, Spain, December 2005.
[23] Y. Q. Chen, H. S. Ahn, and D. Xue, “Robust controllability of interval fractional order linear time invariant systems,” Signal
Processing, vol. 86, no. 10, pp. 2794–2802, 2006.
[24] A. N. Zhirabok, “Analysis of controllability degree of discrete dynamic system,” Journal of Computer and Systems Sciences
International, vol. 46, no. 2, pp. 169–176, 2007.
[25] L. T. Ashchepkov, “External bounds and step controllability of the linear interval system,” Automation and Remote Control, vol. 69, no. 4, pp. 590–596, 2008.
[26] O. Pastravanu and M. H. Matcovschi, “Diagonal stability of in-terval matrices and applications,” Linear Algebra and Its
Appli-cations, vol. 433, no. 8–10, pp. 1646–1658, 2010.
[27] Y. X. Liang and R. Wang, “Method of the stability control for a class of the generalized interval systems,” in Proceedings of the
5th International Conference on Computer Science and Educa-tion (ICCSE ’10), pp. 1305–1308, Anhui, China, August 2010.
[28] X. H. Li, H. B. Yu, M. Z. Yuan, and J. Wang, “Robust stability of interval polynomials and matrices for linear systems,” in
Proceedings of the 30th IASTED International Conference on Modelling, Identification, and Control (AsiaMIC ’10), pp. 138–
147, Innsbruck, Austria, November 2010.
[29] Q. Ling, “Robust stability analysis of discrete interval systems,” in Proceedings of the International Conference on Electrical and
Control Engineering (ICECE ’10), pp. 1848–1850, Wuhan, China,
June 2010.
[30] J. Shao and X. Hou, “Stability analysis of uncertain systems based on interval analysis,” in Proceedings of IEEE International
Conference on Intelligent Computing and Integrated Systems (ICISS ’10), pp. 383–386, Guilin, China, October 2010.
[31] S. H. Chen and J. H. Chou, “Robust controllability of linear time-invariant interval systems,” Journal of the Chinese Institute
of Engineers, vol. 36, no. 5, pp. 672–676, 2013.
[32] K. Zhou and G. Gu, “Robust stability of multivariable systems with both real parametric and norm bounded uncertainties,”
IEEE Transactions on Automatic Control, vol. 37, no. 10, pp. 1533–
1537, 1992.
[33] A. Weinmann, Uncertain Models and Robust Control, Springer, New York, NY, USA, 1991.
[34] Z. Jiang, Optimization of uncertain systems with interval
param-eters and its application in gasoline blending [Ph.D. dissertation],
Institute of Intelligent Systems and Decision Making, Zhejing University, China, 2005.
[35] C. Jiang, Theories and algorithms of uncertain optimization based
on interval [Ph.D. dissertation], Institute of Mechanical Design
and Theory, Hunan University, China, 2008.
[36] C. A. Desoer and M. Vidyasagar, Feedback Systems:
Input-Out-put Properties, Academic Press, New York, NY, USA, 1975.
[37] S. H. Chen, J. H. Chou, and I. K. Fong, “Robust rank preserva-tion of matrices with both structured and unstructured uncer-tainties and its applications,” Journal of Systems and Control
En-gineering I, vol. 215, no. 5, pp. 499–504, 2001.
[38] W. H. Ho, J. H. Chou, and C. Y. Guo, “Parameter identification of chaotic systems using improved differential evolution algo-rithm,” Nonlinear Dynamics, vol. 61, no. 1-2, pp. 29–41, 2010.
Submit your manuscripts at
http://www.hindawi.com
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Mathematics
Journal ofHindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Hindawi Publishing Corporation http://www.hindawi.com
Differential Equations
International Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Mathematical PhysicsAdvances in
Complex Analysis
Journal ofHindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Optimization
Journal ofHindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Combinatorics
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
International Journal of
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Journal of Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Function Spaces
Abstract and Applied Analysis Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014 International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporation http://www.hindawi.com Volume 2014
The Scientific
World Journal
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Discrete Mathematics
Journal ofHindawi Publishing Corporation
http://www.hindawi.com Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com Volume 2014