Results 101 to 110 of about 46,156 (218)
A new augmented Lagrangian primal dual algorithm for elastica regularization
Regularization is a key element of variational models in image processing. To overcome the weakness of models based on total variation, various high order (typically second order) regularization models have been proposed and studied recently. Among these,
Jianping Zhang, Ke Chen
doaj +1 more source
Real-Time Remaining Useful Life Prediction of Cutting Tools Using Sparse Augmented Lagrangian Analysis and Gaussian Process Regression. [PDF]
Qin X, Huang W, Wang X, Tang Z, Liu Z.
europepmc +1 more source
The Political Economy of Patent Buyouts
ABSTRACT Incentivizing innovation through buyouts may alleviate the social costs associated with patent power, but the political economy and feasibility of this potentially important financing mechanism have been understudied. We study an international setting of countries with different innovation and financing capabilities, and where financing ...
Amal Ahmad +2 more
wiley +1 more source
Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method
This paper presents a global optimization method for structural design optimization, which integrates subset simulation optimization (SSO) and the dynamic augmented Lagrangian multiplier method (DALMM).
Feng Du, Qiao-Yue Dong, Hong-Shuang Li
doaj +1 more source
PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators
ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh +2 more
wiley +1 more source
Fluctuating Interfaces in Barotropic Beta‐Plane Turbulence
Abstract Zonal jets manifest themselves as bands with sharp interfaces in the vorticity configuration. We develop an algorithm to track these fluctuating vorticity interfaces and systematically investigate their characteristic spatio‐temporal behaviors.
Sandip Sahoo, Samriddhi Sankar Ray
wiley +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Pontryagin’s Principle-Based Algorithms for Optimal Control Problems of Parabolic Equations
This paper applies the Method of Successive Approximations (MSA) based on Pontryagin’s principle to solve optimal control problems with state constraints for semilinear parabolic equations.
Weilong You, Fu Zhang
doaj +1 more source
Abstract This paper tackles the problem of robust and accurate fixed‐time tracking in human–robot interaction and deals with uncertainties. This work introduces a control approach for a wearable exoskeleton designed specifically for rehabilitation tasks.
Mahmoud Abdallah +4 more
wiley +1 more source
A parallel algorithm for generating Pareto‐optimal radiosurgery treatment plans
Abstract Background Using inverse planning tools to create radiosurgery treatment plans is an iterative process, where clinical trade‐offs are explored by changing the relative importance given to different objectives and rerunning the optimizer until a desirable plan is found.
Joakim da Silva +4 more
wiley +1 more source

