Dynamic target tracking technology has a broad application prospect in marine
transportation, intelligent marine monitoring, border and coastal defense, etc. However, most …

The current study provides numerical solutions to the human balancing system using novel
framework-based artificial neural networks and the hybrid competency of global heuristic …

The purpose of this study is to introduce a stochastic computing solver for the multi-
pantograph delay differential equation (MP-DDE). The MP-DDE is not easy to solve due to …

Current reinforcement-learning methods are unable to directly learn policies that solve the
minimum cost reach-avoid problem to minimize cumulative costs subject to the constraints of …

Differential dynamic programming (DDP) is a well-recognized method for trajectory
optimization due to its fast convergence characteristics. However, the original DDP requires …

Surge active control can expand the stable operating range of the compressor. However, the
difficulty of flow measurement, dynamic uncertainty disturbance, actuator delay …

THE investigation in this paper is driven by the need to develop a suboptimal feasible
trajectory generation method with real-time capability considering a physically derived and …

Unmanned aerial vehicles (UAVs) are required to pass through multiple important waypoints
as quickly as possible in courier delivery, enemy reconnaissance and other tasks to …

Terminal flight guidance problems are full of uncertainties. The deterministic trajectory
optimization methods typically disregard uncertainties, which renders achieving precise …

The aim of this work is to solve the case study singular model involving the Neumann–
Robin, Dirichlet, and Neumann boundary conditions using a novel computing framework …