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Target-Point Interpolation of a program control in the Approach Problem

COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS 2024年第3期64卷 585-598页

作者： Alekseev, A. V. Ershov, A. A. Expt Machine Design Bur Novator Ekaterinburg 620091 Russia Russian Acad Sci Krasovskii Inst Math & Mech Ural Branch Ekaterinburg 620108 Russia Ural Fed Univ Ekaterinburg 620002 Russia

For a nonlinear controlled system, a fixed-time approach problem is considered in which the target point location becomes known only at the start of motion. According to the proposed solution method, node resolving program controls corresponding to a finite collection of target points from the set of their admissible locations are computed in advance and a refined control for the target point given at the start of motion is determined via linear interpolation of the node controls. The procedure for designing such a resolving control is formulated in the form of two algorithms, one of which is run before the start of the motion, and the other is executed in real time while the system is moving. The error in the transfer of the system's state to the target point by applying these algorithms is estimated. As an example, we consider the approach problem for a modified Dubins car model and a target point about which only a compact set of its admissible locations is known before the start of motion.

关键词： controlled system approach problem linear interpolation program control uncertain target point

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Combined evolutionary method of feasible directions in multicriteria synthesis problem of a dynamical system program control 14

Combined evolutionary method of feasible directions in multi...

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14th International Symposium on Intelligent Systems

作者： Serov, V. A. MIREA Russian Technol Univ Vernadskogo Av 78 Moscow 119454 Russia

The paper considers the evolutionary synthesis method of multi-criteria program control for dynamic systems. A computational technology involves the combined using of evolutionary finite-dimensional and infinite-dimensional multi-criteria optimization algorithms. A computational technology involves the combined using of evolutionary finite-dimensional and infinite-dimensional multicriteria optimization algorithms. Finite-dimensional multi-criteria optimization evolutionary algorithms are used to construct a discrete approximation of epsilon-effective solutions set. Infinite-dimensional multicriteria optimization evolutionary algorithms implement the stage of clarifying search, represent generalization of possible directions methods and use epsilon-effective solutions as initial approximations. (C) 2021 The Authors. Published by Elsevier B.V.

关键词： Multicriteria optimization evolutionary algorithm evolutionary method of possible directions program control

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Combined evolutionary method of feasible directions in multicriteria synthesis problem of a dynamical system program control

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Procedia Computer Science 2021年 186卷 48-58页

作者： V.A. Serov MIREA - Russian Technological University Vernadskogo Av. 78 Moscow 119454 Russia

The paper considers the evolutionary synthesis method of multi-criteria program control for dynamic systems. A computational technology involves the combined using of evolutionary finite-dimensional and infinite-dimensional multi-criteria optimization algorithms. A computational technology involves the combined using of evolutionary finite-dimensional and infinite-dimensional multicriteria optimization algorithms. Finite-dimensional multi-criteria optimization evolutionary algorithms are used to construct a discrete approximation of ε-effective solutions set. Infinite-dimensional multicriteria optimization evolutionary algorithms implement the stage of clarifying search, represent generalization of possible directions methods and use ε-effective solutions as initial approximations.

关键词： Multicriteria optimization evolutionary algorithm evolutionary method of possible directions program control

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Method of Combining the Synthesis of program control with Homing Methods for the Problem of UAV's control in Conditions of Multifactorial Uncertainty

Method of Combining the Synthesis of Program Control with Ho...

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International Conference on Engineering and Telecommunication (EnT)

作者： Thuong, Nguyen Quang State Univ Moscow Inst Phys & Technol Dept Intelligent Informat Syst & Technol Moscow Russia

ISBN: (纸本)9781728135649

The method of statistical synthesis of algorithms for constructing training samples of neural network support of UAV's control process is developed. The statistical evaluation of UAV's effectiveness by means of probability of achievement of the purpose on condition of the maximum and minimum of criterion of regularity is presented. The algorithm for generating control actions according to the target environment is implemented in the form of a trained onboard neural network.

关键词： program control positional control homing unmanned aerial vehicle (UAV) multifactorial uncertainty statistical synthesis statistical sampling regularization criterion

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Study of the Practical Convergence of Evolutionary Algorithms for the Optimal program control of a Wheeled Robot

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JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL 2018年第4期57卷 561-580页

作者： Diveev, A., I Konstantinov, S., V Russian Acad Sci Fed Res Ctr Comp Sci & Control Moscow Russia Peoples Friendship Univ Russia RUDN Univ Moscow Russia

Evolutionary algorithms for solving the problem of the optimal program control are considered. The most popular evolutionary algorithms, the genetic algorithm (GA), the differential evolution (DE) algorithm, the particle swarm optimization (PSO), the bat-inspired algorithm (BIA), the bees algorithm (BA), and the grey wolf optimizer (GWO) algorithm are described. An experimental analysis of these algorithms and their comparison with gradient methods are given. An experiment was carried out to solve the problem of the optimal control of a mobile robot with phase constraints. Indicators of the best objective functional value, the average value for several startups, and the standard deviation were used to compare the algorithms.

关键词： gradient methods Optimal control Wheeled robot algorithms Standard deviation evolutionary algorithm program control Mobile robots

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Methods of Subdifferential and Hypodifferential Descent in the Problem of Constructing an Integrally Constrained program control

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AUTOMATION AND REMOTE control 2017年第4期78卷 608-617页

作者： Fominykh, A. V. St Petersburg State Univ St Petersburg Russia

For an object whose dynamics obeys a system of ordinary differential equations, application of the methods of subdifferential and hypodifferential descent to the problem of program control of object dynamics was illus... 详细信息

关键词： nonsmooth functional variational problem program control method of subdifferential descent method of hypodifferential descent

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Ibm :: Series1 :: Ga34-0031-0 Customer Direct program control Adapter Features Description Nov76

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2016年

Ibm :: Series1 :: Ga34-0031-0 Customer Direct program control Adapter Features Description Nov76 by published by

关键词： adapter adapter feature command condition condition code control control adapter customer customer direct data data field description device device address diagnostic diagnostic mode diagnostic register direct direct program features field ga34-0031-0 idcb program control status

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Bstj 49: 10. December 1970: Tsps No. 1: Stored program control No. 1A. (Durney, G.R.;Kettler, H.W.;Prell, E.M.;Riddell, G.;Rohn, W.B. 2509-2560)

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2016年

Bstj 49: 10. December 1970: Tsps No. 1: Stored program control No. 1A. (Durney, G.R.; Kettler, H.W.; Prell, E.M.; Riddell, G.; Rohn, W.B. 2509-2560) by published by

关键词： (durney, bell system bus central pulse control control program december e.m. emergency action fault recognition maintenance peripheral peripheral unit processor program program control pulse distributor spc store stored program system system technical

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Method of quasidifferential descent in the problem of bringing a nonsmooth system from one point to another

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INTERNATIONAL JOURNAL OF control 2025年第2期98卷 307-325页

作者： Fominyh, A. V. St Petersburg State Univ St Petersburg Russia

The paper considers the problem of constructing program control for an object described by a system with nonsmooth (but only quasidifferentiable) right-hand side. The goal of control is to bring such a system from a given initial position to a given final state in certain finite time. The admissible controls are piecewise continuous and bounded vector-functions with values from some parallelepiped. The original problem is reduced to unconditional minimisation of some penalty functional which takes into account constraints in the form of differential equations, constraints on the initial and the final positions of the object as well as constraints on controls. Moreover, it is known that this functional vanishes on the solution of the original problem and only on it. The quasidifferentiability of this functional is proved, necessary and sufficient conditions for its minimum are written out in terms of quasidifferential. Further, in order to solve the obtained minimisation problem in the functional space the method of quasidifferential descent is applied. The algorithm developed is demonstrated by examples.

关键词： Nonsmooth right-hand side program control quasidifferential quasidifferential descent method

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Uniform Optimization of Systems with Distributed Parameters in Linear-Quadratic control Problems with Amplitude Contraints of controlling Actions

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OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING 2024年第6期60卷 792-802页

作者： Rapoport, E. Ya. Pleshivtseva, Yu. E. Samara State Tech Univ Samara 443100 Russia

The paper proposes a constructive method for solving linear-quadratic problems of space-time control with amplitude constraints of controlling actions in systems with distributed parameters of parabolic type at a given accuracy of uniform approximation of the object final state to the required spatial distribution of the controlled quantity. The developed approach is based on the previously developed alternance method of constructing parameterizable algorithms of program control. It is demonstrated that the equations of optimal regulators are reduced to linear feedback algorithms on the measured state of the object with predetermined nonstationary transfer coefficients.

关键词： systems with distributed parameters amplitude constraints of controlling actions program control alternance method synthesis of optimal control

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