Results 21 to 30 of about 457,891 (167)
PLoS Computational Biology, 2022 Optimal control simulations have shown that both musculoskeletal dynamics and physiological noise are important determinants of movement. However, due to the limited efficiency of available computational tools, deterministic simulations of movement focus
Tom Van Wouwe +2 more
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Semidefinite Relaxations for Stochastic Optimal Control Policies [PDF]
, 2014 Recent results in the study of the Hamilton Jacobi Bellman (HJB) equation have led to the discovery of a formulation of the value function as a linear Partial Differential Equation (PDE) for stochastic nonlinear systems with a mild constraint on their ...
Burdick, Joel W., Horowitz, Matanya B.
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Review of Business and Economics StudiesThis study aimed to examine an uncertain stochastic optimal control problem premised on an uncertain stochastic process. The proposed approach is used to solve an optimal portfolio selection problem.
Justin Chirima +3 more
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Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits
, 2017 The optimal control of epidemic-like stochastic processes is important both historically and for emerging applications today, where it can be especially important to include time-varying parameters that impact viral epidemic-like propagation.
azizan ruhi +4 more
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BuildingsStochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed.
Hua Lei, Zhao-Zhong Ying, Zu-Guang Ying
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Assessing non-convex value functions for the optimal control of stochastic differential equations
Results in Control and Optimization, 2022 Solving the optimal control of stochastic differential equations (SDEs) using the dynamic programming method requires writing the problem in terms of the so-called value function. This paper presents conditions to assure that the value function is convex
Elmer Lévano +2 more
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Nonlinear Optimal Control for Stochastic Dynamical Systems
MathematicsThis paper presents a comprehensive framework addressing optimal nonlinear analysis and feedback control synthesis for nonlinear stochastic dynamical systems.
Manuel Lanchares, Wassim M. Haddad
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Stochastic Optimal Control of Parallel Hybrid Electric Vehicles
Energies, 2017 Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially ...
Feiyan Qin +4 more
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Receding horizon control strategy for an electric vehicle with dual-motor coupling system in consideration of stochastic vehicle mass. [PDF]
PLoS ONE, 2018 Additional degrees of freedom existed in dual-motor coupling system bring considerable challenge to the optimal control of electric vehicles. Moreover, the stochastic characteristic of vehicle mass can further increase this challenge.
Hongqiang Guo +4 more
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, 2008 We study quadratic optimal stochastic control problems with control dependent noise state equation perturbed by an affine term and with stochastic coefficients. Both infinite horizon case and ergodic case are treated.
Guatteri, Giuseppina, Masiero, Federica
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