Results 11 to 20 of about 231,620 (237)
مجلة جامعة الزيتونة, 2022 This paper deals with the theoretical and computational analysis of linear quadratic regulator (LQR) problems, with the aim of providing solutions to them with MATLAB simulation and implementation.
Jassm Khalefa, Salma Saeid
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Results in Applied Mathematics, 2020 We design and analyze a cubic C0interior penalty method for linear–quadratic elliptic distributed optimal control problems with pointwise state and control constraints. Numerical results that corroborate the theoretical error estimates are also presented.
Susanne C. Brenner +2 more
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Maximum Principle for Forward-Backward Doubly Stochastic Control Systems and Applications [PDF]
, 2010 The maximum principle for optimal control problems of fully coupled forward-backward doubly stochastic differential equations (FBDSDEs in short) in the global form is obtained, under the assumptions that the diffusion coefficients do not contain the ...
Bensoussan +22 more
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On the linear quadratic data-driven control [PDF]
, 2007 The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications.
Markovsky, Ivan, Rapisarda, Paolo
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International Journal of Advanced Robotic Systems, 2023 There are few studies on the lateral motion of spherical robots. In this article, a new algorithm is proposed to solve the problem of low control accuracy of the lateral motion.
Yixu Wang +7 more
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Optimal Unravellings for Feedback Control in Linear Quantum Systems [PDF]
, 2004 For quantum systems with linear dynamics in phase space much of classical feedback control theory applies. However, there are some questions that are sensible only for the quantum case, such as: given a fixed interaction between the system and the ...
A. C. Doherty +11 more
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Guaranteed robustness properties of multivariable, nonlinear, stochastic optimal regulators [PDF]
, 1983 The robustness of optimal regulators for nonlinear, deterministic and stochastic, multi-input dynamical systems is studied under the assumption that all state variables can be measured.
Athans, M., Tsitsiklis, J. N.
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Parameterization of Some Control Problems by Linear Systems
Известия Иркутского государственного университета: Серия "Математика", 2019 In the framework of control parameterization methods a number of optimization problems of linear phase systems with quadratic and bilinear functionals is considered.
V.A. Srochko, E.V. Aksenyushkina
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Optimal Control for a Multistage Uncertain Random System
IEEE Access, 2023 Chance theory is a mathematical methodology for modelling complex systems including both uncertainty and randomness. Based on chance theory, this paper introduces the optimal control model for a multistage uncertain random system.
Xin Chen, Ting Jin
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Discrete Dynamics in Nature and Society, 2020 In this paper, we investigate the necessary optimality conditions of the discrete stochastic optimal control problems driven by both fractional noise and white noise. Here, the admissible control region is not necessarily convex.
Yuecai Han, Zheng Li
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