Robust optimal attitude control for hexarotors with disturbances, uncertainties, and delays
IET Cyber-Physical Systems, 2023 A robust optimal attitude controller for hexarotor helicopters is proposed. Compared to the previous research studies on hexarotors, the current study takes account of the influences of non‐linear and coupling dynamics, structured and unstructured ...
Taleb Abdollahi, Sepideh Salehfard
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Modeling nonlinear stochastic kinetic system and stochastic optimal control of microbial bioconversion process in batch culture [PDF]
, 2013 In this paper, we analyze a stochastic model representing batch fermentation in the process of glycerol bio-dissimilation to 1,3-propanediol by klebsiella pneumoniae.
Xiu, Zhilong, Wang, Lei, Feng, Enmin
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A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application [PDF]
, 2010 The paper presents a gradient-based algorithm for optimal control of nonlinear multivariable systems with control and state vectors constraints. The algorithm has a backward-in-time recurrent structure similar to the backpropagation-through-time ...
Kolmanovsky, Ilya V. +10 more
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Necessary optimality conditions for Lagrange problems involving ordinary control systems described by fractional Laplace operators [PDF]
, 2020 In this paper, optimal control problems containing ordinary nonlinear control systems described by fractional Dirichlet and Dirichlet–Neumann Laplace operators and a nonlinear integral performance index are studied. Using smooth-convex maximum principle,
Kamocki, Rafał
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Non-linear optimal control for multi-DOF electro-hydraulic robotic manipulators
IET Cyber-systems and Robotics, 2020 A non-linear optimal (H-infinity) control approach is proposed for the dynamic model of multi-degree-of-freedom (DOF) electro-hydraulic robotic manipulators.
Gerasimos Rigatos +4 more
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Formation of optimal control of nonlinear dynamic object based on Takagi-Sugeno model [PDF]
Компьютерные исследования и моделирование, 2015 The algorithm of fuzzy control system essentially nonlinear dynamic object is considered in this article. For solving nonlinear optimal control problem is proposed to use the method of linear quadratic regulation (LQR) with fuzzy Takagi-Sugeno model. The
Sergey Nikolayevich Chukanov +1 more
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Symbolic Regression Methods for Reinforcement Learning
IEEE Access, 2021 Reinforcement learning algorithms can solve dynamic decision-making and optimal control problems. With continuous-valued state and input variables, reinforcement learning algorithms must rely on function approximators to represent the value function and ...
Jiri Kubalik +3 more
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On the optimal control of affine nonlinear systems [PDF]
Mathematical Problems in Engineering, 2005 The minimization control problem of quadratic functionals for the class of affine nonlinear systems with the hypothesis of nilpotent associated Lie algebra is analyzed. The optimal control corresponding to the first‐, second‐, and third‐order nilpotent operators is determined.
Popescu, M., Dumitrache, A.
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KENDALI OPTIMAL PADA MODEL DINAMIK EPIDEMI DENGUE MENGGUNAKAN MISER3
Barekeng, 2012 Dengue fever is an infectious tropical disease caused by the Dengue virus. Dengue haemorrhagic fever constitute a substantial health burden on world's population. In this research, an application of optimal control theory to Dengue epidemics using MISER3
Zeth A. Leleury
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Nonlinear Optimal Control for the Nine-Phase Permanent Magnet Synchronous Motor
Power Electronics and Drives, 2023 Multi-phase electric motors and in particular nine-phase permanent magnet synchronous motors (9-phase PMSMs) find use in electric actuation, traction and propulsion systems.
Rigatos Gerasimos G. +5 more
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