Prediction of ground reaction forces during gait based on kinematics and a neural network model
Kinetic information during human gait can be estimated with inverse dynamics, which is
based on anthropometric, kinematic, and ground reaction data. While collecting ground …
based on anthropometric, kinematic, and ground reaction data. While collecting ground …
Machine-learning techniques for the optimal design of acoustic metamaterials
Recently, an increasing research effort has been dedicated to analyze the transmission and
dispersion properties of periodic acoustic metamaterials, characterized by the presence of …
dispersion properties of periodic acoustic metamaterials, characterized by the presence of …
[HTML][HTML] DynaProg: Deterministic Dynamic Programming solver for finite horizon multi-stage decision problems
F Miretti, D Misul, E Spessa - SoftwareX, 2021 - Elsevier
DynaProg is an open-source MATLAB toolbox for solving multi-stage deterministic optimal
decision problems using Dynamic Programming. This class of optimal control problems can …
decision problems using Dynamic Programming. This class of optimal control problems can …
Seeing the unseen: revealing mobile malware hidden communications via energy consumption and artificial intelligence
Modern malware uses advanced techniques to hide from static and dynamic analysis tools.
To achieve stealthiness when attacking a mobile device, an effective approach is the use of …
To achieve stealthiness when attacking a mobile device, an effective approach is the use of …
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
In this paper, an event-triggered integral reinforcement learning (IRL) algorithm is developed
for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a …
for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a …
[图书][B] Neural approximations for optimal control and decision
Many scientific and technological areas of major interest require one to solve infinite-
dimensional optimization problems, also called functional optimization problems. In such a …
dimensional optimization problems, also called functional optimization problems. In such a …
An intrinsic material tailoring approach for functionally graded axisymmetric hollow bodies under plane elasticity
HMA Abdalla, D Casagrande - Journal of Elasticity, 2021 - Springer
One of the main requirements in the design of structures made of functionally graded
materials is their best response when used in an actual environment. This optimum …
materials is their best response when used in an actual environment. This optimum …
Real-time leak location of long-distance pipeline using adaptive dynamic programming
In traditional leak location methods, the position of the leak point is located through the time
difference of pressure change points of both ends of the pipeline. The inaccurate estimation …
difference of pressure change points of both ends of the pipeline. The inaccurate estimation …
Predictive control of container flows in maritime intermodal terminals
A Alessandri, C Cervellera… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Predictive control is investigated as a paradigm for the allocation of handling resources to
transfer containers inside intermodal terminals. The decisions on the allocation of such …
transfer containers inside intermodal terminals. The decisions on the allocation of such …
Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty
Stochastic optimization problems with an objective function that is additive over a finite
number of stages are addressed. Although Dynamic Programming allows one to formally …
number of stages are addressed. Although Dynamic Programming allows one to formally …