A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
Rutting of asphalt pavements is a crucial design criterion in various pavement design
guides. A good road transportation base can provide security for the transportation of oil and …
guides. A good road transportation base can provide security for the transportation of oil and …
Exponential convergence of primal–dual dynamics under general conditions and its application to distributed optimization
In this article, we establish the local and global exponential convergence of a primal–dual
dynamics (PDD) for solving equality-constrained optimization problems without strong …
dynamics (PDD) for solving equality-constrained optimization problems without strong …
Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach
X Shi, X Xu, G Wen, J Cao - IEEE/CAA Journal of Automatica …, 2024 - ieeexplore.ieee.org
The accelerated method in solving optimization problems has always been an absorbing
topic. Based on the fixed-time (FxT) stability of nonlinear dynamical systems, we provide a …
topic. Based on the fixed-time (FxT) stability of nonlinear dynamical systems, we provide a …
QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction
Accurate assessment of road conditions can effectively alleviate traffic congestion and guide
people's travel plans, traffic control decisions of transportation departments, and formulation …
people's travel plans, traffic control decisions of transportation departments, and formulation …
Neural Network-Based Safety Optimization Control for Constrained Discrete-Time Systems
This paper proposes a constraint-aware safety control approach via adaptive dynamic
programming (ADP) to address the control optimization issues for discrete-time systems …
programming (ADP) to address the control optimization issues for discrete-time systems …