Файл: Сейдж Э.П. Идентификация систем управления.pdf

238

Л И ТЕ РА ТУРА

29.

I) е l) li а ш W. F., B r y s o n

Л. Е. (1964),

Optimal

program­

ming problems with

inequality

constraints

II: Solution

by

30.

steepest-ascent, А1ЛА J. 2, 25—34

[4.2].

(1965),

On

the

D e t c h m e n d y

D. M.,

S r i d h a r

R.

experimental

determination

of the

dynamical

characteristics

31.

of physical systems, Proc. Nat. Electron. Conf. 21,575—580 [6.2].

D e t c h m e n d y

D. M.,

S r i d h a r

R.

(1966), Sequential

estimation of state and parameters in noisy non-linear dynamical

32.

systems,

J.

Basic

Eng. Ser.

D 88,

362—366

[7.3].

Du р а с

У. (1965), A dynamic stochastic approximation method,

33.

Ann. Math. Statist. 36, 1695—1702

[5].

approximation,

D v o r e t z k y

A.

(1956),

On

stochastic

Proc. 3rd Berkeley Symp. Math. Statist, and Prob. (J. Neyman,

ed.), pp. 39—55. Univ. of California Press, Berkeley, California

34.

[5].

S w о г d e г

D. D.

(1969),

Applications

E l l i o t t D. F.,

of a simplified multidimensional stochastic

approximation

35.

algorithm, Proc. Joint Automatic Control. Conf., 148—154 [5].

E l l i s

T. W., S a g e

A. P. (1968),

Application of a method

for on-line combined estimation and

control,

Proc. Southwest

IEEE Conf.,

April 1968 [7.3].

,\F l e t c h e r

R., P o w e l l

M. J. D. (1963), A rapid descent

''—''method for minimization, Comput. J. 6, 163—168 [4.2].

42.

G i e s e

C.,

M c G h e e

G. (1965),

Estimation

of nonlinear

system states and parameters by regression methods, Proc.

43.

Joint Automatic Control Conf., Troy, New York, 46—53.

G o o d m a n

T. P.,

R e s w i ck

J. B. (1956), Determination

of system characteristics from normal operating records, Trans.

ASME 78, 259-271

[1].

44.

G r a u p e D., S w a n i c k

В. H.,

C a s s i r

G. R. (1968),

Reduction and identification of multivariable processes using

regression

analysis,

IEE

Trans.

Automatic Control AC-13,

564—567

[1].

Л И ТЕ РА ТУРА

239

49.

H о

Y. C., A g r a w a l a

A. K. (1968), On pattern classi­

fication algorithms: Introduction and survey, Proc. IEEE 56,

50.

2101—2176 [1].

A. E. (1969), Applied Optimal Control,

H o

Y .C ., B r y s o n

51.

Ginn (Blaisdell),

Boston

[1].

of linear

H o

Y. C., L e e

R. С. K. (1965), Identification

dynamic systems, Proc. 1965 Nat. Electron. Conf.,

pp.’ 647—

52.

651

[5.3].

R . C . K . (1965a), Identification

of linear

H o

Y. C., L e e

53.

dynamic systems,

Inform. Control 8, 93—110 [5.3].

algorithm

H о

Y.C., N e w b o l d

P. M. (1967), A descent

for

constrained stochastic extrema, J. Optimization Theory

54.

Appl. 1, 215-231 [5.3].

H о

Y. C. , W h a l e n

В. H. (1963), An approach to the iden­

tification and control of linear dynamic systems with

unknown

parameters, IEEE Trans. Automatic Control AC-8, 255—256 [1].

56.

H o l m e s

J . K. (1969), Two stochastic approximation

proce­

dures for identifying linear systems, IEEE Trans. Automatic

57.

Control AC-14, 292—295 [5].

D. A . (1967), On a method for

H s i a T. C., L a n d g r e b e

estimating power spectra, IEEE Trans. Instr. Means.

IM-16,

255—257

[3.4].

58.

H s i a

T. С.,

V i m о 1 v a n i c h

V.

(1969),

An

on-line

technique for system identification, IEEE

Trans. Automatic

59.

Control, AC-14, 92—96 [2].

control systems (1967). Preprint

Identification in automatic

of the IFAC Symposiums, Parts

I and II, Prague, Czechoslowa-

kia, June, 12—17, 1967; также Prague, Czechoslowakia, June,

1970

[1].

60.

J a z w i n s k i

A. H. (1969),

Adaptive filtering,

Automation

61.

5, 475—485 [7j.

Stochastic

Processes

and Filte­

J a z w i n s k i

A. H. (1970),

62.

ring

Theory, Academic

Press,

New York

[1, 7].

J о s e p h

P.,

L e w i s

L., T о u J. (1961), Plant identifica­

tion in the presence of disturbances and application to digital

adaptive systems, Trans. AIEE 80, Part II (Appl. and Ind.,)

63.

18—24 [1].

R. E. (1959), On

nonlinear differential

equations,

К a 1 a b a

the maximum operation

and monotone convergence,

J. Math.

64.

Mech. 8,

519—574

[6.2].

Some

aspects

of

quasilinearization,

К a l a b

a R. E. (1963),

в сб. «Nonlinear Differential Equations and

Nonlinear

Mecha­

nics»

(J. P. LaSalle

and

S. Lel'schetz,

eds).

Academic

Press,

65.

New

York

[6.2].

B u e y

R. (19611, New results in linear

K a l m a n

R. E.,

filtering

and prediction theory,

J. Basic Eng. 83, 95—108 [1].

[Русский перевод. К а л м а н

Р., Б ю с и

Р., Новые резуль-

68.

K e l l e y

H. J. (1960),

Gradient theory of

optimal

flight

69.

paths, ARS

J. 30, 947-954 [4.3].

fields,

К e 1 1 e у H. J. (1962), Guidance theory and extremal

IRE Trans.

Automatic

Control AC-7, 75—81

[4.3].

71.

К e 11 e у

H. J., К о p p

R. E. , M o y e r

H. G. (1964),

A trajectory optimization technique based upon the theory of

the second variation, Progr. Astronaut. Aeronaut. 14,

559—582

72.

[4.3].

P., M c G i l l R. (1966),

Two

point

boundary

K e n n e t h

73.

value problem techniques, Advan. Contr. Syst. 3, 69—110 [4.6].

K e n n e t h

P.,T а у 1 o r

G. E. (1966), Solution of variational

problems with bounded control variables by means of the gene­

ralized Newton—Raphson

method, в сб.

«Recent

Advances

in Optimization Techniques» (A. Lavi, ed.). Wiley, New York

[6 .2].

76.

K i r v a i t i s K . , F u

K. S. (1966), Identification of nonlinear

systems

by

stochastic

approximation,

Proc.

Joint Automatic

77.

Control

Conf., Seattle, June 1966 [5.2].

К о p p

R.

E.,

M c G i l l

R. (1964), Several trajectory opti­

mization

techniques;

Part

I: Discussion,

в

сб.

«Computing

Methods

in

Optimization

Problems» (L. W.

Neustadt and

A. V. Balakrischan,

eds),

pp. 65—89.

Academic

Press,

New

78.

York

[6.2, 7.3].

O r f o r d

R. J. (1963),

Linear regression

К о p p

R. E.,

applied to system identification for adaptive control systems,

79.

AIAA

J. 5, 2300—2306 [7.4].

A. R. (1967), Identification

К г о у

W. H.,

S t u b b e r u d

via nonlinear filtering,

Int. J. Contr. 6, 499—522,

1967; Proc.

Joint Automatic

Control

Conf.

Ann

Arbor,

Michigan,

June

80.

1968, pp. 394-412 [47].

R.

(1964),

On

the

identifi­

К u m a г K. S. P.,

S r i d h a r

cation

of

control systems by the quasilinearization

method,

81.

IEEE

Trans. Automatic Control AC-9, 151—154 [6.2].

K u m a r

K. S.

P.,

S r i d h a r

R.

(1964a),

On the identi­

fication

of

linear

systems,

1964,

JACC

Preprints,

Stan­

ford

Univ.

Press,

Stanford,

California, pp. 361—365,

June

1964

[1].

Л И ТЕ РА ТУРА

241

82. K u s h n e r Н. (1963), A simple iterative

procedure for the

identification of the unknown parameters of a linear time-varying

discrete system, J. Basic Bng. Ser. D., 85,

227—235 [5.3].

84.

Bng. Ser. D. 85, 157—164 [5.3].

problems:

K u s h n e r

H.

(1965),

On

stochastic extremum

85.

Calculus, J.

Math. Anal. Appl. 10, 354-367 [5].

L a s d o n

L. S.,

M i t t e r

S. K.,

W a r e n

A. D. (1967),

The

conjugate

gradient

method

for

optimal

control prob­

lems,

IEEE

Trans.

Automatic

Control AC-12,

132—138

86.

[4.3] .

J. C.

(1965). Parameter identification

L a v i A., S t r a u s s

in continuous dynamic systems, IEEE Int. Conv. Rec. Symp.

Automatic Control; Systems Sci., Cybernetics; Human Factors,

Part

VI, pp. 49—61

[6.2].

[Русский

перевод: Л и

P.,

Оптимальные оценки, определе­

88.

ние характеристик и управление, «Наука», 1966.]

linear

L e e

R. С. К .,

Н о

Y. С.

(1965),

Identification of

89.

dynamic

systems,

Inform. Control 8,

93—110

[5.3].

of the

L e e

Y. W.,

S c h e t z e n

M. (1965), Some

aspects

Wiener theory

of

nonlinear systems, Proc. Nat. Electron. Conf.

90.

21, 759-764 [2.5].

L e v i n

M. J. (1964),Optimum estimation of impulse response

in the presence of noise,

IRE Trans. Circuit Theory CT-7, 50—

92.

L i n d e n 1 a u b

J. C.,

C o o p e r

G. R.

(1963), Noise

limitations of

system identification techniques, IEEE Trans.

93.

Automatic Control AC-8, 43—48 [2.4].

аппрокси­

Л о г и н о в H. В. (1966), Методы стохастической

94.

мации, Автоматика и телемеханика,

№ 4 [5].

parameter

М а г g о 1 i s

М.,

L e o n d e s

С. Т.

(1959),

A

tracking series for adaptive control systems, IRE Trans. Automa­

95.

tic Control AC-4, 100—111

[2.5].

A. P.

(1967),

Computational

M c L e n d o n

J. T.,

S a g e

algorithms for

discrete detection and likelihood ratio

computa­

tion, Inform.

Sci.

2,

273—298

[3].

97. M c R e y n o l d s

S. R., B r y s o n A. E. (1965), A

succe­

ssive sweep method for solving optimal programming problems,

Proc. Joint Automatic Control Conf., Troy, New York,

August

1965, pp. 551-555

[4.3].