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Necessary Optimality Conditions of First and Second Orders in the Problem of Control of Difference Analogy of Barbashin Type Integro-differential Equation Zhale Ahmadova1, Sevinj Qadirova2, Kamil Mansimov3 1,2 Cybernetics Institute of ANAS, Baku, Azerbaijan 1,2,3 Baku State University, Baku, Azerbaijan [email protected] Abstract –An optimal control problem described by difference analogy of Barbashin type integro-differential equation is considered. Necessary optimality conditions of first and second orders are proved. Key words – Barbashin type, difference analogy, necessary optimality conditions, conjugated variables. I. INTRODUCTION In our prevous papers [6] we have studied optimal control problems described by a system of Barbashin type integro-differential equations. In this paper, we study an optimal control problem described by difference analogy of Barbashin type integrodifferential equations. Necessary optimality conditions of first and second orders are obtained. II. STATEMENT OF PROBLEM Assume that the admissible control in the “discrete rectangle” D t , x : t t 0 , t 0 1,..., t1 ; x x0 , x0 1,..., x1 z t 1, x K t , x, s, zt , s f t , x, zt , x , ut , (1) s x0 with the initial condition z t 0 , x ax , x x0 , x0 1,..., x1. (2) Here K t , x, s, z , f t , x, z, u are the given n dimensional vector-functions continuous in totality of variables together with partial derivatives with respect to z , z, u respectively, t 0 , t1 , x0 , x1 are the given numbers, t1 t0 , x1 x0 are natural numbers, ax is a given n -dimensional discrete vector-function, ut is an moreover ut U R r , t t 0 , t 0 1,..., t1 1. (3) Such control functions are called admissible controls. On the solutions of problem (1)-(2) generated by all possible admissible controls we determine the functional S u x1 z t , x . x x0 1 (4) Here z is the given twice continuously differentiable scalar function. The admissible control u t giving minimum to functional (4) under constrains (1)-(3) is called an optimal control, the appropriate process u t , z t , x an optimal process. III. NECESSARY OPTIMALITY CONDITIONS Assuming u t , z t , x a process, we introduce the denotation is described by the system of difference equations: x1 r -dimensional discrete vector of control actions with values from the given non-empty, bounded and open set U , i.е. fixed admissible H t , s, z, u, f t, x, z, u , H u t H u t , x, zt , x , ut , t , H z t H z t , x, zt , x, ut , t , H uu t H uu t , x, zt , x , ut , t , H zz t H zz t , x, zt , x, ut , t , H uz t H uz t , x, zt , x , ut , t . Here t, x is an n -dimensional vector- function of conjugated variables being a solution of the conjugated problem t 1, x K t , s, x, z t , x t , s z s x0 t0 , t0 1,..., t1 1; x0 , x0 1,..., x1. x1 (5) f t , x, z t , x , u t t , x , z z t1 , x (6) t1 1, x . z r Let u t R , t t 0 , t 0 1,..., t1 1 be an r -dimensional bounded vector-function arbitrary (admissible variation control). Denote by z t , x the Relation (10) is an analogy of the Euler equation for the considered problem. Each admissible control being a solution of Euler equation is called classical extremals. Equation (7) is a Barbashin type linear difference equation. It’s solution allows the representation[6]: t1 1 z t , x F t , , x f u , x u t 0 t1 1 x1 t 1 (11) Rt , x, , s F , , s t 0 s x0 1 f u , s u . Here F t , , x and Rt , x; , s are n n solution of the following linearized problem δz t 1, x K t , x, s, z t , s δz t , s z s x0 x1 f t , x, z t , x , u t δz t , x z f t , x, z t , x , u t δu t , u z t 0 , x 0. (7) Rt 1, x; , s (8) The solution z t , x of problem (7)-(8) is called a state variation, equation (7) is called, an equation in variation for problem (1)-(4). Applying the development scheme in 5 , it is proved that the first and second variations of the quality functional (4) have the forms t1 1 x1 S u;u H u t , x u t , 1 matrix functions being the solutions of the following matrix difference equations: K t , x, s, z t , s , z f t , x, z , x , u F t , 1, x F t , , x , z F t , t 1, x E , ( E - is n n unique matrix) Rt 1, x; t , s We can write formula (11) in the form t 1 δ 2 S u; δu δz t , x x x0 1 2 z t1 , x z 2 z t , x F t , , x f u , x t0 δz t1 , x Rt , x; , s F , , s f u , s u . s x0 1 x1 (9) t1 1 x1 δz t , x H zz t , x δz t , x t 1 2δu t H zz t , x δz t , x δu t H uu t , x δu t . From the classic theory of variational calculus it is clear that along the optimal process u t , z t , x the first variation of the quality functional equals zero, the second is non-negative. From the equality to zero of the first variation quality functional it follows: Theorem 1. If the set U is open, then for optimality of the admissible control u t in the considered problem, it is necessary that the relation H u θ , ξ 0 (10) (12) Let by definition Lt , F t , , x f u , x t t 0 x x0 be fulfilled for all f t , x, z t , x , u t Rt , x; , s , z t t0 x x0 x1 K t , x, , z t , Rt , ; , s z x0 x1 x1 t 1 Rt , x; , s F , , s f , s . u s x0 1 Then formula (11) is written by the formula t1 1 z t , x Lt , u t . (13) t 0 By means of representation (12) it is proved that 2 z t1 , x z t1 , x z 2 t1 1 t1 1 2 z t1 , x u L t , Lt1 , s , z 2 t 0 s t 0 z t1 , x t1 1 x1 δz t , x H zz t , x δz t , x t t 0 x x0 t 1 t 1 Lt , τ δu τ H zz t , x Lt , s δu s x x0 t t 0 τ t 0 s t0 Theorem 2. For optimality in the classical extremals u t in the considered problem, it is necessary that the inequality t1 1 t1 1 δu τ K τ , s δus x1 t1 1 x1 1 t1 1 δu τ L t , τ H zz t , x Lt , s δu s , τ t0 s t0 x x0 t max τ , s 1 t1 1 t1 1 τ t 0 s t 0 t1 1 x1 t 1 2 δu t H uz t , x Lt , τ δu τ t t 0 x x0 τ t 0 t1 1 x1 δu t H uu t , x δu t 0 t1 1 x1 u t H t , x zt , x uz t t 0 x x0 t 1 u t H uz t , x Lt , u . t t0 x x0 t 0 t1 1 x1 (14) t t 0 x x0 be fulfilled for all u t R , t t 0 , t 0 1,..., t1 1. r Inequality (14) is a rather general necessary optimality condition of second order. Introduce the matrix function K , s x1 L t1 , x x0 x1 z t1 , x Lt1 , s z 2 IV. t1 1 Lt , H Lt , s . x x0 t max , s 1 zz An optimal control problem described by the difference analogy of Barbashin type integro-differential equation is studied. First and second order necessary optimality conditions are obtained. Then the second variation (9) of the quality case (4) is represented in the form t1 1 t1 1 REFERENCES δ S u; δu δu τ K τ , s δu s [1] t 1 2 δu t H uz t , x Lt , τ δu τ t t 0 x x0 τ t 0 [3] 2 τ t 0 s t 0 t1 1 x1 t1 1 x1 δu t H uu t , x δu t . t t 0 x x0 CONCLUSIONS 2 [2] [4] [5] [6] R. Qabasov, F.M.Kirillova. Quality theory of optimal processes. M. Nauka, 1972. (in Russian) I.V.Gayshun. Multiparametric control systems. Minsk. IM NAS Byelorussia, 1996, 159 p. K.M.Mansimov. Optimization of a class of discrete twoparametric systems.// Differen. equations. 1991, № 2, pp. 259262. P.M.Dymkov. Extremum problems in multiparametric control systems. Minsk. BSEU, 2005, 363 p. R. Qabasov, F.M.Kirillova. Singular optimal controls. M. Nauka, 1973, 256 p. (in Russian) K.B.Mansimov, ZH.B.Ahmadova, S.Sh.Qadirova. On representations of solutions of a class of linear difference equations of Barbashin type. // Proc. of Repub. Conference on Contemporary problems of mathematics informatics and economics. 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