Results 31 to 40 of about 18,260,050 (293)
Stochastic linear quadratic control problem of switching systems with constraints
Journal of Inequalities and Applications, 2016 This paper is devoted to the optimal control problem for stochastic linear switching systems with a quadratic cost functional. A necessary and sufficient condition of optimality for mentioned linear control systems under endpoint constraints is obtained.
Charkaz Aghayeva
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Optimal vibration control of moving-mass beam systems with uncertainty
Journal of Low Frequency Noise, Vibration and Active Control, 2020 A linear optimal regulator for uncertain system is designed through the application of the probability density evolution method to linear quadratic regulator controller. One important background of this work is bridge-vehicle/gun-projectile system.
Xiaoxiao Liu +2 more
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Solving linear-quadratic optimal control problems on parallel computers
Optimization Methods and Software, 2008 We discuss a parallel library of efficient algorithms for the solution of linear-quadratic optimal control problems involving large-scale systems with state-space dimension up to O(104). We survey the numerical algorithms underlying the implementation of the chosen optimal control methods.
Peter Benner +2 more
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Infinite time horizon optimal current control of a stepper motor exploiting a finite element model [PDF]
, 2014 An optimal control theory based method is presented aiming at minimizing the energy delivered from source and the power loss in a stepper motor circuit.
Szymanski, G. +5 more
core +1 more source
Advances in Difference Equations, 2019 This paper is concerned with an optimal control problem for a linear stochastic differential equation (SDE) of mean-field type, where the drift coefficient of observation equation is linear with respect to the state, the control and their expectations ...
Haiyan Zhang
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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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Indefinite Backward Stochastic Linear-Quadratic Optimal Control Problems
ESAIM: Control, Optimisation and Calculus of Variations, 2023 This paper is concerned with a backward stochastic linear-quadratic (LQ, for short) optimal control problem with deterministic coefficients. The weighting matrices are allowed to be indefinite, and cross-product terms in the control and state processes are presented in the cost functional.
Sun, Jingrui, Wu, Zhen, Xiong, Jie
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Characterization of optimal feedback for stochastic linear quadratic control problems [PDF]
Probability, Uncertainty and Quantitative Risk, 2017 One of the fundamental issues in Control Theory is to design feedback controls. It is well-known that, the purpose of introducing Riccati equations in the deterministic case is to provide the desired feedback controls for linear quadratic control problems. To date, the same problem in the stochastic setting is only partially well-understood.
Lü, Qi, Wang, Tianxiao, Zhang, Xu
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source