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Systems & Control Letters 21 (1993) 241-248 241 North-Holland

On algebraic properties of general proper

decentralized systems

Runyi Yu

Letter Box 29, Department of Automation, Beijing Institute of Chemical Technology. Beijing 100029, China

M.

Erol Sezer

Department of Electrical and Electronics Engineering, Bilkent University, 06533 Ankara, Turkey

Weibing

G a o

The Seventh Research Division, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

Received 2 November 1992 Revised 16 February 1993

Abstract: The new concepts of the decentralized output feedback variable polynomial, the decentralized output feedback cycle index of general proper systems, and the geometric multiplicities of decentralized fixed modes are introduced. Their computational methods and some algebraic properties are presented. It is shown that the decentralized output feedback cycle index of a general proper system is equal to one when the system has no fixed modes or equal to the maximum of the geometric multiplicities of its decentralized fixed modes. It is also shown that almost all decentralized output feedback can be used to make the zeros of the decentralized variable polynomial distinct, and disjoint from any given finite set of points on the complex plane.

Keywords: Decentralized systems; control system analysis; output feedback; fixed modes; algebraic properties.

1. Introduction

T h e r e is c o n t i n u i n g interest in the s t u d y of decentralized c o n t r o l systems. T h e r e a s o n for this interest follows since m a n y c o n t r o l p r o b l e m s of m o d e r n i n d u s t r i a l society are subject to i n f o r m a t i o n flow c o n s t r a i n t . Recently, D a v i s o n a n d C h a n g [3] have studied the decentralized s t a b i l i z a t i o n a n d pole a s s i g n m e n t p r o b l e m for a general p r o p e r system, which c a n be described by

N :i = A x + ~ Biul, i = l N Yi = f i x 4- ~, D u u j, i ~ Jff, (1) j = l

where x E ~ " is the state of the system, ui e ~ " a n d Yl ~ ~ " ' are the i n p u t a n d o u t p u t vectors of the ith c o n t r o l c h a n n e l , respectively, a n d A,B~,C~,Di~, i , j ~ Jff = {1,2 . . . N}, are real c o n s t a n t matrices of a p p r o p r i a t e sizes. M o r e o v e r , it is a s s u m e d t h a t B~, C~ are of full r a n k a n d system (1) is wholly c o n t r o l l a b l e a n d observable.

A c c o r d i n g to [3], there are three m a i n m o t i v a t i o n s to s t u d y general p r o p e r decentralized c o n t r o l systems. T h e first o n e arises from a s t u d y of large-scale systems which are m o d e l l e d by descriptor state-space models. T h e second o n e is t h a t a n y periodic l i n e a r discrete-time system c a n always be represented as a discrete Correspondence to." R. Yu, Letter Box 29, Department of Automation, Beijing Institute of Chemical Technology, Beijing 100029, China.

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242 R. Yu, M.E. Sezer, W. G a o / General proper decentralized systems

time-invariant system with direct feedthrough. T h e third m o t i v a t i o n is that m a n y large-scale systems often have a simplified model with a representation given by (1). F o r this class of systems, D a v i s o n and C h a n g [3] and Vaz and D a v i s o n [7] o b t a i n e d s o m e characterization results and invariant properties of decentralized fixed modes, which play a key role in analysis and design of decentralized control problems. D a v i s o n and C h a n g I-3] further showed that system (1) can be assigned a closed-loop s p e c t r u m using linear time-invariant decentralized controllers only if the s p e c t r u m includes the set of decentralized fixed modes.

T h e aim of this p a p e r is to answer the question of what can be said a b o u t the resultant closed-loop system

= (A + B ( I - K D ) - 1 K C ) x (2)

after decentralized static o u t p u t feedbacks

ul = K i Y i , i ~ ~.t ~, (3) are applied to (1), where B = (B1 • - • Bs), C = (C~- • - C~) v, O = (Dij), i, j ~ ~ , and K ~ ::((" ~ ~ × ' , with r = E~=~ r~, m = E~=I m~, a n d 3ff = { K I K = d i a g ( K 1 - - . KN), K ~ E ~ . . . , i ~ X , det(I - KD) # 0}.

This w o r k is an extension of [12], which considers the s a m e p r o b l e m for system (1) with D = 0. It should be noted that this extension is not just trivial. T h e results here d e p e n d critically on the values of the D parameters.

2. Preliminary knowledge

Let x ~ ~ " and let f ( x ) denote a p o l y n o m i a l in the ring of p o l y n o m i a l s ~ [ x ] . A set ~t j in 9/" is called a robust set (or robust) if there is a p o l y n o m i a l f ( x ) ~ ~ [ x ] , such that

~ = ~ " - Y ( f ) , X ( f ) = { x l f t x ) = O, x e J ? " } ,

where f ( x ) is not identically equal to zero and ~ ' ( . ) denotes the set of zeros of p o l y n o m i a l ". ". Obviously, if

f ( x ) is a n o n z e r o c o n s t a n t n u m b e r , then "F = ~'". Stating that V is a r o b u s t set is equivalent to stating that a l m o s t all points in ~'" belong to ~//~. Also the union and intersection of any finite r o b u s t sets are still robust. L e m m a 2.1 (Bocher [1]). L e t

f ( x ) = a , x " + a , - l x " - X + . . . + a l x + a o , n > 0 ,

g ( x ) = b m x m + b . , - l x " - 1 + " ' " + b l x + b o , m > _ O ,

be polynomials in ~ [ x ] . L e t r(a . . . ao; b . . . bo), a polynomial in J l [ a , , . . . , ao; b . . . bo], denote the resultant o f f ( x ) and g(x). Then a necessary and sufficient condition under which the two polynomials f (x) and

g(x) have no common zeros is that r(a . . . ao; b . . . bo) is nonzero.

L e m m a 2.2. I f ( A , B) is controllable and (A, C) observable, then the set

J{" = { ~ g l t h e eigenvalues o f A + B ( I - K D ) - I K C are distinct, det(I - K D ) ¢ O, K ~ Jt "×" } is robust.

Proof. F r o m [5], the controllability of (A, B) and the observability of (A, C) imply that A + B K C has n distinct eigenvalues for a l m o s t a l l / £ ~ ~r×,,. C h o o s e / ( so that I - D K and I + DI?, are n o n s i n g u l a r a n d

A + BI?,C has n distinct eigenvalues, and let K = /~(I + D / ( ) - 1. W e get A + B ( I - K D ) - 1 K C = A + B K C .

Thus, ) f " is not empty. N o w , let

det(sl - A - B ( I - K D ) - 1 K C ) - f ( s , K ) d ( K ) '

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R. Yu, M.E. Sezer, W. Gao / General proper decentralized systems 243

where d ( K ) = det(l - K D ) and f ( s , K ) = s" + a , _ l ( K ) s " - 1 + . . . + a o ( K ) , with a i ( K ) , i = O, 1 . . . n - 1,

being polynomials of {k(i, j)} - the (i, j ) t h element of K; d

g(s) = ~ s f ( S ) = ns " - 1 + (n - 1 ) a , _ x ( K ) s " - 2 + . . . + a l ( g ) ,

then the resultant of f ( s ) and g(s) is a polynomial of {k(i, j)}, which is denoted by r ( K ) . It is clear from Lemma 2.1 that

~ ' = ~l q - J V ' ( d ( K ) r ( K ) ) ,

where q = r x m. Since o,~' is not empty, the polynomial d ( K ) r ( K ) is not identically equal to zero. Therefore, the set J ( ' is robust. []

Lemma 2.3. L e t A ~ ~l" × l, B ~ ~l" × ", and C ~ ~ " × i be c o n s t a n t matrices, B, C be o f f u l l rank, 2 be a n y given set containing a robust set in ~ t ' × ' ; then

Proof. Xie and Jing [10] have shown that the above equality is true if 2 = ~ ' × m. We can further prove that 2 ' = { K l r a n k ( A + B K C ) = , / , K e ~ ' × m }

is a robust set, where

, = min {rank [A, B], rank [ C I } .

By noting that rank(A + B K C ) <_ ~ for any K e 2, the result then follows from the robustness of the intersection of 2 ' and the robust set contained in ~. []

3. Main results

3.1. D e f i n i t i o n s

To discuss algebraic properties of general proper decentralized control systems, we first introduce the following definitions, which, unlike the decentralized fixed polynomial and fixed modes, characterize the effectiveness of decentralized output feedbacks.

Definition 3.1. The decentralized output feedback variable polynomial (DVP) of the general proper decentra- lized control system (GDS) (1) with respect to (w.r.t.) ~ is defined as

p v ( s , A , B , C , D , K ) = det(sI - A - B ( I - K D ) - ~ K C ) pf(s, A, B, C, D, J~{')

where pf(s, A, B, C, D, • ) is the decentralized fixed polynomial of G D S (1) w.r.t. ~ . F o r brevity, we will use the notation pv(S, K ) , pf(s, ,3¢{') to denote pv(S, A, B, C, D, K ) and pf(s, A, B, C, D, J g ) , respectively, in the following derivations.

The above definition can also be used for determination of DVP, since algorithms for determination of decentralized fixed modes are available.

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244 R. Yu, M.E. Sezer, W. Gao / General proper decentralized systems

Definition 3.2. Consider G D S (1); the n u m b e r k = min{cyc(A + B ( I - K D ) - I K C ) , K ~ ~ }

is called the decentralized output feedback cycle index (DCI) of the G D S w.r.t. ~,~, and is denoted by eye(A, B, C, D, o~ff), where cyc(.) is the cycle index of matrix " . "

It is obvious that eye(A, B, C, D, • ) < eye(A).

Definition 3.3. Let D F M ( A , B, C, D, X ) be the set of decentralized fixed modes ( D F M ) of G D S (1), 2 ~ D F M ( A , B, C, D, J f ) ; then the number

mz = min{dim f r ~ , K ~ ~,r}

is called the geometric multiplicity (GM) of the fixed mode 2, where fK~ = {xl(A + B ( I - K D ) -1 K C - ) J ) x = 0, x ~ ~ " } and dim fK~ is the dimension of the subspace Y ~ .

3.2. S e p a r a t i o n o f zeros o f D V P

Theorem 3.4. The set

~ 1 = { K l t h e zeros o f pv(S, K ) are distinct, K ~ : ~ } is robust.

Proof. First, we prove that the set o~f~l is not empty. If this is not true, i.e., for every K e Y, there is always a multiple zero s o ( K ) of pv(S, K ) , then there exists a polynomial p3(s, K) such that

pv(s, K ) = (s - so(K))2p3(s, K ) ,

where s o ( K ) is a function of K and is not a constant. Without loss of generality, suppose s o ( K ) is dependent on KN; there must exist parameters K ° . . . K ° - 1 such that s o ( K ° . . . K ° - 1, K s ) is dependent on K s and is not a constant.

Now

det(sl - AN) = pf(s)(s - s o ( K ° . . . K ° - I, KN))2pa(s, K ° . . . K ° - I , KN), where AN = ( A + B ( I - K D ) - I K C ) I K , = K O I=I ... N-I"

On the other hand, it can be shown that

det (sI - AN) = det (sI - AN - 1 -- BN - 1 (I -- K N DN - 1 ) - 1K N C s - 1 )

= pf(s, A N - l , B s - 1 , C N - 1 , DN--I,JtrN)Pv( s, A S - - l , BN--1, C N - 1 , D N - 1 , K s ) , where A N - I = A + B N - I ( I - - K N - 1 D S - 1 ) - I K ~ - I C N - x ,

I °

B s - ~ = B s + B S - l ( I - K N - 1 D N - 1 ) - 1 K N - 1

~S

LO._

, C N - , = CN + ( O N , ' ' ' D N S - 1 ) ( I -- K ~ - ' D N - 1 ) - I K N - ' C s - 1 , D s - , = o N s + ( D s l . - - D s s - ~ ) q - K o ~ - ' O S - ' ) - ~ K ~ -~ . , L D s : - x s J ~N = { K s t d e t ( I - K D ) ~ 0, K -- diag(K ° . . . K ° _ ~ K N ) } ,

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R. Yu, M.E. Sezer, W. Gao / General proper decentralized systems 2 4 5

with

B N- 1 = ( B ~ . • • B N - 1 ) , C N - 1 = ( f T . • . C T_ 1 ) T

D N - I = ( D , f l , i , j = 1 . . . N - l , Ko N-1 = d i a g ( K ° . . . K ° _ l ) ,

and pf(s, AN- x, BN- 1, CN- 1, DN- 1, offN) is the fixed polynomial of (AN- 1,/~N- 1, C'N- 1, DN- 1) w.r.t, offN,

p~(s, AN-l, BN-1, CN-1, DN-1, KN) = det(sl -- A~¢°_ 1-- B~°-I(I - KN/3/v-I)-IC'~°-I), with (A~°-I,B~°_~,

~,~o_ 1) being the controllable and observable part of the triple (AN-1, BN-1, CN-1). F r o m Lemma 2.2, we know that the zeros of p,(s, KN) can be assigned as distinct. This contradicts the assumption that so(K) is a multiple zero.

The rest of the proof is exactly the same as the last part of the proof of Lemma 2.2, except that q =

Y ~ = ~ r i x m i h e r e . []

3.3. Shifting o f zeros o f D V P

Theorem 3.5. For any given finite set P = {Pl . . . Pt} ~cg, the set off2 = { K I P n ~ ( p v ( s , A , B , C , D , K ) ) = 0 , K 6 off}

is a robust set.

Proof. Define

off(i) = {K lPiq~ ~ ( p ~ ( s , A, B, C, D, g ) ) , K ~ off}.

By definition of pv(A, B, C, D, K), the set off(i) is not empty, and it is easy to see that off(i) is also robust. Finally, noting that

N off: = N offti),

i = 1

we get that the set off2 is robust• []

As an immediate corollary of Theorem 3.5, we have that in the case of DFM(A, B, C, D, ~ ) = 0, almost all decentralized output feedback can make the spectrum of the resultant closed-loop system disjoint from any finite set of points on the complex plane.

3.4. Determination o f geometric multiplicities o f D F M

Theorem 3.6. L e t 2 be a decentralized f i x e d mode o f system (1); then its geometric multiplicity is given by m ~ = m a x { n _ r a n k [ 2 l ~ l A D~lseAB~ ] , S P c , # ' } ,

where 5e = {i~ . . . is} c j f f , St± = dV - 5f = {ji . . . JN-s}, and Bs~ = (Bi, . . . Bi,); C~l =

( c j T . • • iN-s, , Ds'l~ , = (D,o), ~ ~ 5 f - , fl E 5f. C T ]V

Proof. According to Definition 3.3, m~ = min{dim &rr~, K e off}

= min {dim ker(2l - A -- B ( I -- K D ) - I K C ) , K E Jf~}

= min{n - r a n k ( 2 I - A -- B ( I - K D ) - I K C ) , K ~ off}

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246 R. Yu, M.E. Sezer, W. Gao / General proper decentralized systems

C h o o s e 0 n o w so that 0 :/: 0, OCsp(A), and let K = K/0; we have m a x { r a n k ( 2 I - A - B ( I - K D ) - ~ K C ) , K ~ o,~}

= m a x { r a n k ( 2 l - A - B(01 - K D ) - I K C ) , K E 5 f ' } ,

where ogt 7 = { K I K = d i a g ( K l . . . Ks), K~ e ~,,~ m,, i ~ ~/', det(0l -- K O ) ~ 0}. N o w r a n k ( 2 I - A - B(OI - K D ) - I K C ) ( 5 ) F2I - A = rank [ K C = r a n k ( [ 2 I - A O = rank (6)

where I ~ = [0~,×l, + r ,ll,~0,,×l~_,,i] t, with T X r ~ = Y~i=x ~ r s, i e ~*'. N o t i n g that for almost a n y K E ~,~ff, the rank function in (6) gets its m a x i m u m , which can only be some c o n s t a n t integer less than n + 1, we obtain, by using L e m m a 2.3 w.r.t. K s , max{rank(,~I - A - B(OI - K D ) - ~ K C ) , K ~ J t } rank 0 O I , ~ _ 1 - ~

\ L CN

D,,N,II ... ~ ,1 i=1

N-I

)

-

E T'K,[c, o~,~,] ,

i = 1

'K CiO1NIttK

} rNx

= m i n m a x ank 2 I - A B~ ... N-l} -- ~ ~'iK~[C ~ D:,I.,.] ,

0 O l r N - 1 i= 1

CF /oA

... N j N I

) tl

rank Ol, n - 1

-- E IiKi[ Ci

D:~lt ... N-I~] , K E o U - r s - l ,

\ L

CN D/NI~I . . . N 1} i = 1

where J'~ =

[O,,×l.+,,

r

,~I,,]

t

.

Using L e m m a 2.3 sequentially w.r.t. KN-1 . . . K 1, we can finally get

m a x { r a n k ( 2 l - A - B ( O I - K D ) - l K C ) ' K ~ J { ' } = m i n { r a n k I 2 l - A c . ~ l

D.~ AB~I'SeCJV'}"

This, together with (4) a n d (5), leads to the result. []

T h e o r e m 3.6 states that the determination of the geometric multiplicity ma of some decentralized fixed m o d e 2 involves only the calculation of ranks of 2 N matrices. Actually, the p r o o f of T h e o r e m 3.6 shows that mx can also be easily obtained by finding the rank of 2 I - A - B ( I - K D ) - 1 K C for almost any K ~ o,~.

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R. Yu, M.E. Sezer, W. Gao / General proper decentralized systems 247

3.5. Determination o f decentralized cycle index o f G D S

Theorem 3.7. For GDS (1), the decentralized output feedback cycle index is determined by

1 D F M ( C , A, B, D, oU) = 0,

cyc(A, B, C, D, 3if) = max{m~, 2 ~ DFM(A, B, C, D, ~ ) } otherwise.

Proof. If D F M ( A , B, C,D, ~ ) = O, then pf(s)= 1, p v ( s , K ) = d e t ( s l - A - B ( I - K D ) - ~ K C ) . F r o m

Theorem 3.4, we know that for almost all K ~ Jg, A + B(I -- K D ) - ~ K C has n distinct eigenvalues. Thus, cyc(A, B, C, D, ~ ) = 1.

In the case of DFM(A, B, C, D, 3~) 4: 0, for any K ¢ 3if,

cyc(A + B(I - K D ) - ~ K C ) = max{dim Y'K~, 2 ~ sp(A + B(I - K D ) - ~ K C ) } > max {dim Xra, 2 e DFM(A, B, C, D, J r ) } > max{ma, 2 e DFM(A, B, C, D, ~ ) } .

On the other hand, since the intersection of any finite robust set is still robust, by Theorems 3.4-3.6, we have, for almost all K e ~ ,

cyc(A + B(I - K D ) - I K C ) = max {m~, 2 ~ D F M ( A , B, C, D, oU)}. Thus, the result follows from Definition 3.2. []

The main contribution of Theorem 3.7 is the characterization of the relation between the geometric multiplicities of decentralized fixed modes and the decentralized cycle index of a general proper system. To determine the decentralized cycle index, it is more convenient to compute cyc(A + B(I - K D ) - ~KC) directly for an arbitrary K ~ 3~ r without a prior knowledge on the decentralized fixed modes. This is suggested by the fact that, for almost all K ~ Of ~,

cyc(A, B, C, D, oU) = cyc(A + B(I - K D ) - ~ K C ) .

3.6. Examples

The following example illustrates some of the above results. Consider a general proper system

2 = 0 1 x + u l + u2, 0 0 --

Yl = ( 1 0 0)x, Y2 = ( 0 1 0 ) x + dux.

If d = 0, it can be computed that

pv(S, kl, k 2 ) = s - k 2 - 1, D F M = { - 1 , 2 } , m _ ~ = m 2 = 1, cyc(A, B, C, D, o U ) = 1.

Now, the system cannot be stabilized using decentralized controllers due to the existence of an unstable decentralized fixed mode of 2.

In the case of d 4: 0,

pv(S, k 1, k2) = s 2 - (dklk 2 h- k 2 q- 3)s + dklk 2 q- 2k 2 q- 2, D F M = { - 1 } , m-1 = 1, c y c ( A , B , C , D , ~ r ) = 1.

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248 R. Yu, M.E. Sezer, W. Gao / General proper decentralized systems

4. Conclusions

In this paper, the algebraic properties of general control systems subject to decentralized output feedback are investigated. We introduce some new concepts of the decentralized output feedback variable polynomial, the decentralized output feedback cycle index of general proper systems, and the geometric multiplicities of decentralized fixed modes. It is shown that almost all decentralized output feedback laws can be used to make the zeros of DVP distinct, and disjoint from any given finite set of points on the complex plane. The results presented here, besides being important for understanding general proper decentralized control systems, are also very useful in the analysis and design of dynamical hierarchical control systems [11].

References

[1] M. Bocher, Introduction to Higher Aloebra (Macmillan, New York, 1907).

[-2] J.P. Corfmat and A.S. Morse, Decentralized control of linear multivariable systems, Automatica 1"2 (1976) 479 495.

[3] E.J. Davison and T.N. Chang, Decentralized stabilization and pole assignment for general proper systems, IEEE Trans. Automat. Control 35 (1990) 652 664.

[4] E.J. Davison, W. Gesing and S.H. Wang, An algorithm for obtaining the minimal realisation of a linear time-invariant system and determining if a system is stabilizable-detectable, IEEE Trans. Automat. Control 23 (1978) 1048-1054.

[-5] E.J. Davison and S.H. Wang, Properties of linear time-invariant multivariable systems subject to arbitrary output and state feedback, IEEE Trans. Automat. Control 17 (1972) 24-32.

[-6] M.E. Sezer and D.D. Siljak, Structurally fixed modes, Systems Control Lett. 1 (1981) 60-64.

[-7] A.F. Vaz and E.J. Davison, A measure for the decentralized assignability of eigenvalues, Systems Control Lett. 10 (1988) 191-199. [-8] S.H. Wang and E.J. Davison, On stabilization of decentralized control systems, IEEE Trans. Automat. Control 18 (1973) 473-486. [9] W.M. Wonham, Linear Multivariable Control: A Geometric Approach (Springer, New York, 1977).

[-10] X.K. Xie and H.Y. Jing, Fixed modes of decentralized control systems, Acta Automat. Sinica 12 (1986) 185-189.

[11] R. Yu and W.B. Gao, Minimal order dynamical co-operation controller for large scale systems, in: Syrup. of Int. Conj. on Systems, Man and Cybernetics (Internat. Academic Press, Beijing, 1988) 1341-1344.

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