Quasi-singular control in discrete systems control problem with nonlocal boundary conditions
Consider a discrete control system with boundary conditions x {t +1) = f [t, x {t),M (t)), t e T , (1) ф(x(t,),x(ti)) = I . (2) Here T = {t),^ + 1,- -,A “1} is a finite set of consecutive natural numbers, at that t0 and t1 is given, Ф(Х),X) is the given twice continuously differentiable with respect to the set of variables и-dimensional vector-valued function, l is the given constant vector, x(t) is a state vector, m (t) is a control actions vector, f (t, x, m) is the given и-dimensional vector-valued function continuous with respect to the set of variables together with the partial derivatives with respect to (x, и) up to the second order inclusive. Let U be the given non-empty, bounded, and convex set in R' . Each control function и (t) satisfying the condition и(t)e U c R', t e T (3) will be called admissible control. We consider the problem of the minimum of the functional S (M ) = ф(x (t„), x (ti)) under constraints (1)-(3). Here 9(x, x) is the twice continuously differentiable scalar function with respect to the set of variables. A necessary condition for the optimality of quasi-singular controls is established.
Keywords
quasi-singular control, linearization maximum principle, nonlocal boundary conditions, discrete control problem, необходимое условие оптимальности, квазиособое управление, линеаризованный принцип максимума, нелокальные краевые условия, дискретная управляемая системаAuthors
Name | Organization | |
Mansimov Kamil’ B. | Baku State University; Institute of Control Problems of Azerbaijan National Academy of Sciences | kamilbmansimov@gmail.com |
Nacafova Malahat Ya. | Institute of Control Problems of Azerbaijan National Academy of Sciences | nacafova.melahet@mail.com |
References

Quasi-singular control in discrete systems control problem with nonlocal boundary conditions | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2019. № 46. DOI: 10.17223/19988605/46/1