一類具有Riemann-Liouville 分?jǐn)?shù)階導(dǎo)數(shù)的線性.doc

精品論文一類具有riemann-liouville 分?jǐn)?shù)階導(dǎo)數(shù)的線性時不變微分系統(tǒng)的完全能控性楊玲, 周先鋒, 蔣威安徽大學(xué)數(shù)學(xué)科學(xué)學(xué)院，合肥230039 摘要：本文研究一類具有riemann-liouville分?jǐn)?shù)階導(dǎo)數(shù)的線性時不變微分系統(tǒng)的完全能控性。 首先得到了關(guān)于古典意義上狀態(tài)方程初值問題的解，然后建立的關(guān)于系統(tǒng)能控性的判別準(zhǔn)則是 充分必要條件，并提供兩個例子說明結(jié)果。關(guān)鍵詞：完全能控性, riemann-liouville 分?jǐn)?shù)階導(dǎo)數(shù), 線性的, 微分系統(tǒng)中圖分類號： o175.9complete controllability of a fractional linear time-invariant differential system with riemann-liouville derivativeyang ling, zhou xian-feng, jiang weischool of mathematical sciences, anhui university , hefei 230039abstract: this paper is concerned with the complete controllability of a fractional linear time-invariant differential system with riemann-liouville derivative. the solution of the state equation with classical initial value is first derived. then two criteria on controllability for the system, which are sufficient and necessary, are established. two examples illustrate the results.key words:complete controllability; riemann-liouvilles fractional derivative, linear, differential system0 introductionin past few decades, theories of fractional differential equations have gained considerable developments, see the monographs1, 2, 3, papers4, 5, 6, 7, 8, 9 etc and the reference therein. the concept of controllability plays an important role in the analysis and design of control systems. along with the development of theories of fractional differential equations, much more attention are paid to the controllability of fractional differential systems 10, 11, 12, 13,14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24. the main method used is fixed point theorem or to construct a suitable control input function. the fractional derivatives, which have been involved in the fractional differential systems, are caputos derivative. however, to our best knowledge, little attention has been paid to the controllability of fractional differential system with riemann-liouville derivative.基金項目： natural science foundation of china (no.11071001)，the doctoral fund of ministry of education of china (no.20093401110001 ), ma jor program of educational commission of anhui province of china (no. kj2010zd02), program of natural science research in anhui colleges and universities( kj2011a020) and the scientific research starting fund for dr of anhui university (no.023033190001)作者簡介： yang ling, （1989-），female，postgraduate student，ma jor research direction：functional differential equations. correspondence author：zhou xian-feng, (1968-), male, associate professor, major research direction: functional differential equations.motivated by the fact and the paper 23, 18, this paper is concerned with the complete controllability of the following systemrldt 0,(0.1)y(t) =ex(t) + f u(t)(0.2)0,t x(t) =ax(t) + gu(t),0,tin n-dimensional euclidean space, where rl ddenotes riemann-liouvilles derivative of order with the lower limit 0, 0 0, 0(1.3)provided the right-hand side is pointwise defined on 0, +), where is the gamma function.definition 1.2. (1)riemann-liouvilles derivative of order with the lower limit 0 for a function f : 0, ) r can be written asrl d1dnz t(t s)n1 f (s)ds = (i n f (t)(n) , n 1 n. (1.4)00,t f (t) = (n ) dtn0,tparticularly, when 0 0. (1.5)00,t f (t) = (1 ) dtdt 0,tdefinition 1.3. (1) the two-parameter mittag-leffler function is defined as zke, (z) = x , 0, 0. (1.6)(k + )k=0the laplace transform of mittag-leffler function is, (atl htk+1 e(k)z ); sik!s1, (at=est tk+1 e(k)0)dt =, re(s) a | |(s a)k+1. (1.7)where re(s) denotes the real parts of s.in addition, the laplace transform of t1 islt1 ; s = ()s , re(s) 0. (1.8)definition 1.4. 1 suppose that 0 1. if the function f 0 (t) is continuous on a, t, thengrunwald-letnikov -order derivative with the lower limit a for f (t) is defined asrl dgla,t f (t) =f (a)(t a)(1 )1+(1 )z t0(t ) f ( )d (1.9)aremark 1.1. if the function f 0 (t) is continuous on a, t, thena,trl d f (t) =gla,td f (t)2 main resultsdefinition 2.1. (complete controllability)the system (0.1)-(0.2) is said to be completely con- trollable on the interval j = 0, t if, for every z rn and ti r+ , there exists an admissible control input u(t) such that the state variable x(t) of the system (0.1)-(0.2) satisfies x(ti ) = z .lemma 1. suppose that x(t) is a continuous derivable solution of the free state equation (0.1). namely, u(t) = 0 in state equation (0.1) . then x(t) 0.proof. since u(t) = 0, the state equation (0.1) can be reduced to1d z t(t s) x(s)ds = ax(t).(2.10)(1 ) dt 0by the fact that x(t) is continuous derivable and using the formula (1.9), we havez tthat is(t s) x (s)ds + t x(0) = (1 )ax(t). (2.11)0t x (t) + t x(0) = (1 )ax(t), (2.12)here denotes convolution. an application of the laplace transform on both side of equality(2.12) together with the formula (1.8) and convolution theorem yieldslt ; slx (t); s + lt x(0); s = (1 )alx(t); s.(2.13) reducing eq.(2.13) yields(s i a)x(s) = 0, (2.14)here x(s) is the laplace transform of x(t). thus, x(s) = 0. an application of the inverselaplace transform yields the desired result.remark 2.1. under the assumption that the control input u(t) = 0, there doesnt exist any nonzero continuous derivable solution for the state equation (0.1). however, there exists con- trol inputs u(t) such that the state equation (0.1) possesses a nonzero solution x(t), which is.continuous derivable on 0, . for example, if u(t) = (t, t, , t) rp , then 1 x(t) = xak 1 1+(k+1)k=0tg(k + 1) + 2) 1(2.15)is a nonzero continuous derivable solution of the state equation (0.1).in fact, inserting eq.(2.15) into the left of eq.(0.1) yields1d z t ak 1 1 rl d(t s) x g . s1+(k+1)00,t x(t) = (1 ) dtk=0(k + 1) + 2) ds.11d ak 1 1 z t=x g . (t s)s1+(k+1)ds . (2.16)(1 ) dt k=0by computation, we havez t(k + 1) + 2) .01(t s) s1+(k+1) ds = tk+2 b(1 , (k + 1) + 2), (2.17)0here b denotes beta function. inserting (2.17) into (2.16) yields p 1 k 1 rl d1 d a k+2 0,t =(1) dt k=0(k+1)+2) g t.1b(1 , (k + 1) + 2)p ak 1 1 k+1=k=0(k+2) g t . 1p ak 1 1 k+1 1 1 (2.18)=k=1(k+2) g .1 t 1 + g .1 t 1 p ak 1 1+(k+1) 1 = ak=0(k+1)+2) g t.1+ g .t1= ax(t) + gu(t).this show that x(t) denoted by (2.15) is a nonzero solution of the state equation (0.1). obvi- ously, x(t) is continuous and derivable.lemma 2. there exist control inputs u(t) such that the solution x(t) of the state equation (0.1)can be written asx(t) =z t(t s)1 e, (a(t s) )gu(s)ds.(2.19)0proof. the state equation (0.1) can be written as1d z t(t s) x(s)ds = ax(t) + gu(t).(2.20)(1 ) dt 0by the grunwald-letnikov derivative formula, we havez tthat is(t s) x (s)ds + t x(0) = (1 )(ax(t) + gu(t).(2.21)0t x (t) + t x(0) = (1 )(ax(t) + gu(t),(2.22)here ”*” denotes convolution. applying the laplace transform on both side of eq.(2.22) yieldsx(s) = (s i a)1 lgu(t); s.(2.23) applying the inverse laplace transform on both side of (2.23) together with the formula (1.7) yields eq.(2.19).remark 2.2. there exists a control input u(t) such that the continuous and derivable solutionx(t) of the state equation (0.1) have nothing to do with its initial state x(0).theorem 1. the system (0.1)-(0.2) is completely controllable on 0, tf if and only if gramian matrixwc 0, tf =z tf0(tf s)1 e, (a(tf s) )gge, (a(tf s) )ds (2.24)is nonsingular for some tf (0, ). here * donotes the matrix transpose.cproof. sufficiency. suppose that wc 0, tf is nonsingular, then w 1 0, tf is well-defined. foran arbitrary z0 rn , choose a control input u(t) ascu(t) = ge, (a(tf t) )w 1 0, tf z0 . (2.25) by the formula (2.19), it is easy to check that x(tf ) = z0 . thus the system (0.1)-(0.2) iscompletely controllable on 0, tf .necessity. suppose that the system (0.1)-(0.2) is completely controllable. now we provethat wc 0, tf is nonsingular. in fact, if wc 0, tf is singular, then there exists a nonzero vectorz0 such thatz0 wc 0, tf z0 = 0. (2.26)that isz tfz10then it follows0 (tf s)e, (a(tf s)z)gg e, (a (tf s)z0 ds = 0. (2.27)0 e, (a(tf s)g = 0(2.28)on s 0, tf . since the system (0.1)-(0.2) is completely controllable, so there exists a control input u1 (t) such thatthat isx(tf ) =z tf0(tf s)1 e, (a(tf s) )gu1 (s)ds = z0 . (2.29)z0 z tf0(tf s)1 e, (a(tf s) )gu1 (s)ds = 0. (2.30)0multiplying z on both side of eq.(2.30), we getz0 z0 z tf0(tf s)10ze, (a(tf s)g(u1 (s) u2 (s)ds = 0. (2.31)0by the equality (2.28), we have zz0 = 0. thus z0 = 0. this is contradiction. the proof iscomplete.theorem 2. the system (0.1)-(0.2) is completely controllable on 0, tf if and only ifrank(g|ag| |an1 g) = n. (2.32)proof. by cayley-hamilton theorem we haven1t1 e, (at ) = x ck (t)ak , (2.33)k=0where ck (t) are functions in t. combining the formula (2.19) with the formula (2.33) yieldsf0 fx(t ) = r tf (t s)n11e, (a(tf s)gu(s)ds= p ak g r tf c (t s)u(s)dsk=00 k f d0 (2.34),= (g|ag| |an1 g) d1 dn1tfwhere dk = r0 ck (tf s)u(s)ds, k = 0, 1, 2, , n 1. obviously, for an arbitrary x(tf ) , the sufficient and necessary condition to have a control input u(t) satisfying eq.(2.34) is that rank(g|ag| |an1 g) = n.3 illustrate examples2example 3.1. consider the time-invariant system (0.1)-(0.2). choose = 1 , a = 01 00, 2 g =1. now we apply theorem 1 to prove that the system (0.1)-(0.2) is controllable. first,z 1 111wc 0, 1 =(1 s) 2 e 1 1 (a(1 s) 2 )g)ge 1 1 (a(1 s) 2 )ds. (3.35)0by computation,2 , 22 , 211 ak (1 s)k 211 01 12 , 2e 1 1 (a(1 s) 2 ) = x(k 1 + 1 )= ( 1 ) i +(1)00(1 s) 2 , (3.36)here i = 10 01.k=0 2 2 2gg = 2 211 42 =21, (3.37)11 (a)k (1 s)k 211 00 12 , 2e 1 1 (a(1 s) 2 ) = x(k 1 + 1 )= ( 1 ) i +(1)10(1 s) 2 . (3.38)k=0 2 2 2inserting eq.(3.36), eq.(3.37) and eq.(3.38) into eq.(3.35) yieldswc 0, 1 = 842 + 0.5 + 341 + 0.5 . (3.39)412+ 0.5 it is obvious that wc 0, 1 is nonsingular. thus by theorem 1, the system is completely con- trollable.example 3.2. consider the time-invariant system (0.1)-(0.2). choose 142 2 a = 061 , = 1 , g = 0 . by computation, we have31711 246 rank(g|ag|a2 g) = rank 017 = 3. (3.40)1112by theorem 2, the system is completely controllable.參考文獻(xiàn)（references）1 i.podlubny. fractional differential equationsm. academic press, new york, 1993.2 a.a.kilbas, hari m.srivastava, juan j.trujillo. theory and applications of fractionaldifferential equationsm. elsevier science b. v., amsterdan, 2006.3 v.lakshmikantham, a.s.vatsala. basic theory of fractional differential equationsj. non- linear analysis, 2008, 69:2677-2682.4 r.p.agarwal, y.zhou, y.he. existence of fractional neutral functional differential equa- tionsj. computers and mathematics with applications, 2007, 59:1095-1100.5 y. zhou, f.jiao, j.li. existence and uniqueness for fractional neutral differential equations with infinite delayj. nonlinear analysis, 2009, 71:3249-3256.6 y.zhou, f.jiao, j.li. existence and uniqueness for p-type fractional neutral differential equationsj. nonlinear analysis, 2009, 71:2724-2733.7 v.lakshmikantham, a.s.vatsala. basic theory of fractional differential equationsj. non- linear analysis, 2008, 69:2677-2682.8 v.lakshmikantham. theory of fractional functional differential equationsj. nonlinearanalysis, 2008, 69:3337-3343.9 w.deng, c.li, j.lu. stability analysis of linear fractional differential system with multiple time delaysj. nonlinear dynamics, 2007, 48:409-416.10 k.balachandran, j.y.park. controllability of fractional integrodifferential systems in ba- nach spacesj. nonlinear analysis: hybrid systems, 2009, 3:363-367.11 s.kumar, n.sukavanam. approximate controllability of fractional order semilinear systems with bounded delayj. journal of differential equations, 2012, 252:6163-6174.12 r.sakthivel, n.i.mahmudov, juan. j.nieto. controllability for a class of fractional- order neutral evolution control systemsj. appllied mathematics and compution, 2012,218:10334-10340.13 z.tai. controllability of fractional impulsive neutral integrodifferential systems with a non- local cauchy condition in banach spacesj. applied mathematics letters, 2011, 24:2158-2161.14 k.balachandran, y.zhou, j.kokila. relative controllability of fractional dynamical systems with delays in controlj. commun nonlinear sci numer simulat, 2012, 17:3508-3520.15 k.balachandran, j.y.park, j.j.trujillo. controllability of nonlinear fractional dynamical systemsj. nonlinear analysis, 2012, 75:1919-1926.16 s.ji, l.li, m.wang. controllability