Results 91 to 100 of about 5,002,744 (342)
A Realistic Rotorcraft Noise Footprint Computation for Low-Noise Trajectory Optimization
Pierre Dieumegard +4 more
openalex +2 more sources
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Robot-automated spraying is widely used in various fields, such as the automotive, metalworking, furniture, and aerospace industries. Spraying quality is influenced by multiple factors, including robot speed, acceleration, end-effector trajectory, and ...
Feng Xu +3 more
doaj +1 more source
ObjectiveTo balance the impact and energy consumption of SCARA high-speed parallel robots during food sorting, trajectory optimization methods are used to improve their comprehensive performance and meet the practical needs of smooth and low-energy ...
JIN Guang, LI Ruoqi, ZHENG Qiangren
doaj +1 more source
This study presents micropleated filters manufactured by needleless electrospinning. Nanofibers are deposited onto uniaxially pre‐stretched substrates that contract upon release, forming densely packed micropleats. This architecture increases effective surface area without enlarging the filter size, achieving quality factors comparable to those of ...
Aleksandr Fadeev +6 more
wiley +1 more source
Visualizing Optimization Trajectories
Nichtlineare Optimierung unter Nebenbedingungen hat vielerlei Anwendungen in technischen, wissenschaftlichen und auch ökonomischen Bereichen. Das Verstehen von Löserverhalten kann dabei helfen Löser zu verbessern, angemessene Hyperparameter zu wählen, und performantere nichtlineare Programme zu formulieren.
openaire +1 more source
Unscented Trajectory Optimization
In a nutshell, unscented trajectory optimization is the generation of optimal trajectories through the use of an unscented transform. Although unscented trajectory optimization was introduced by the authors about a decade ago, it is reintroduced in this paper as a special instantiation of tychastic optimal control theory.
Ross, I. M., Proulx, R. J., Karpenko, M.
openaire +2 more sources
PBTTT‐OR‐R, a C14‐alkoxy/alkyl‐PBTTT polymer derivative, is of substantial interest for optoelectronics due to its specific fullerene intercalation behavior and enhanced charge‐transfer absorption. Comparing this polymer with (S) and without (O) homocoupling defects reveals that PBTTT‐OR‐R(O) forms stable co‐crystals with PC61BM, while PBTTT‐OR‐R(S ...
Zhen Liu +14 more
wiley +1 more source

