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  1. Computational Mathematics and Mathematical Physics
  2. Computational Mathematics and Mathematical Physics : Volume 55
  3. Computational Mathematics and Mathematical Physics : Volume 55, Issue 5, May 2015
  4. Dynamic method of multipliers in terminal control
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Computational Mathematics and Mathematical Physics : Volume 57
Computational Mathematics and Mathematical Physics : Volume 56
Computational Mathematics and Mathematical Physics : Volume 55
Computational Mathematics and Mathematical Physics : Volume 55, Issue 12, December 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 11, November 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 10, October 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 9, September 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 8, August 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 7, July 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 6, June 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 5, May 2015
Centrosymmetric property of unitary matrices that preserve the set of (T + H)-matrices under similarity transformations
Numerical methods for control optimization in linear systems
Optimal control of linear systems with interval constraints
Dynamic method of multipliers in terminal control
Calculation of the spheroidal functions of the first kind for complex values of the argument and parameters
Flat expansions and their applications
An effective method for numerical solution and numerical derivatives for sixth order two-point boundary value problems
Phase space of the initial-boundary value problem for the Oskolkov system of nonzero order
Problems of determining the unknown source in parabolic and hyperbolic equations
Approximate solution of Wiener-Hopf integral equations and its discrete counterparts
On spectral geometry for the one-speed particle transport operator
Linear instability of solutions in a mathematical model describing polymer flows in an infinite channel
Numerical simulation of Rayleigh-Taylor instability in inviscid and viscous media
Method for direct numerical simulation of turbulent gas flows in curvilinear coordinates
Asymptotically optimal dualization algorithms
Computational Mathematics and Mathematical Physics : Volume 55, Issue 4, April 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 3, March 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 2, February 2015
Computational Mathematics and Mathematical Physics : Volume 55, Issue 1, January 2015
Computational Mathematics and Mathematical Physics : Volume 54
Computational Mathematics and Mathematical Physics : Volume 53
Computational Mathematics and Mathematical Physics : Volume 52
Computational Mathematics and Mathematical Physics : Volume 51
Computational Mathematics and Mathematical Physics : Volume 50
Computational Mathematics and Mathematical Physics : Volume 49
Computational Mathematics and Mathematical Physics : Volume 48
Computational Mathematics and Mathematical Physics : Volume 47
Computational Mathematics and Mathematical Physics : Volume 46

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Dynamic method of multipliers in terminal control

Content Provider Springer Nature Link
Author Antipin, A. S. Vasilieva, O. O.
Copyright Year 2015
Abstract A method for solving the terminal control problem with a fixed time interval and fixed initial conditions is proposed. The solution to the boundary value problem posed at the right end of the time interval determines the terminal conditions. This boundary value problem is a finite-dimensional convex programming problem. The dynamics of the terminal control problem is described by a linear controllable system of differential equations. This system is interpreted as a conventional system of linear equality constraints. Then the terminal control problem can be regarded as a dynamic convex programming problem posed in an infinite-dimensional functional Hilbert space. In this paper, the functional problem is treated as a saddle-point problem rather than optimization problem. Accordingly, a saddle-point approach to solving the problem is proposed. This approach is based on maximizing the dual function generated by the modified Lagrangian function of the convex programming problem posed in the functional space. The convergence of the proposed methods is also proved in the functional space. This convergence has the additional property of being monotone in norm with respect to controls, phase trajectories, adjoint functions, as well as finite-dimensional terminal variables.
Starting Page 766
Ending Page 787
Page Count 22
File Format PDF
ISSN 09655425
Journal Computational Mathematics and Mathematical Physics
Volume Number 55
Issue Number 5
e-ISSN 15556662
Language English
Publisher Pleiades Publishing
Publisher Date 2015-05-27
Publisher Place Moscow
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword linear problem terminal control Lagrangian function modified Lagrangian function saddle-point method convergence Computational Mathematics and Numerical Analysis
Content Type Text
Resource Type Article
Subject Computational Mathematics
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