Adaptive modeling in problems of optimal control search termovremennoy cast iron
نویسندگان
چکیده
منابع مشابه
Adaptive Optimal Control of Elastoplastic Contact Problems
In this article, the optimal control of static elasto-plastic contact problems are discussed. We present regularization approaches for the nondifferentiabilities arising from contact as well as from elastoplasticity in order to apply fast Newton-type solution algorithms. To achieve an efficient algorithm, we adaptively balance the both regularization, the discretization, and the numerical error...
متن کاملSolving optimal control problems by PSO-SVM
The optimal control of problem is about finding a control law for a given system such that a certain optimality criterion is achieved. Methods of solving the optimal control problems are divided into direct methods and mediated methods (through other equations). In this paper, the PSO- SVM indirect method is used to solve a class of optimal control problems. In this paper, we try to determine t...
متن کاملOptimal Solutions for Adaptive Search Problems with Entropy Objectives
The problem of searching for an unknown object occurs in important applications ranging from security, medicine and defense. Sensors with the capability to process information rapidly require adaptive algorithms to control their search in response to noisy observations. In this paper, we discuss classes of dynamic, adaptive search problems, and formulate the resulting sensor control problems as...
متن کاملA New Optimal Solution Concept for Fuzzy Optimal Control Problems
In this paper, we propose the new concept of optimal solution for fuzzy variational problems based on the possibility and necessity measures. Inspired by the well–known embedding theorem, we can transform the fuzzy variational problem into a bi–objective variational problem. Then the optimal solutions of fuzzy variational problem can be obtained by solving its corresponding biobjective variatio...
متن کاملa two-phase variable neighborhood search for solving nonlinear optimal control problems
in this paper, a two-phase algorithm, namely ivns, is proposed for solving nonlinear optimal control problems. in each phase of the algorithm, we use a variable neighborhood search (vns), which performs a uniform distribution in the shaking step and the successive quadratic programming, as the local search step. in the first phase, vns starts with a completely random initial solution of control...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eastern-European Journal of Enterprise Technologies
سال: 2013
ISSN: 1729-4061,1729-3774
DOI: 10.15587/1729-4061.2013.19453