Hamid Reza Karimi

TL;DR: In this article, the authors proposed a method to use deep space exploration research at Shanghai Maritime University and Deep Space Exploration Research Center (DSC) of Harbin Institute of Technology (Harbin 150001).

TL;DR: In this paper, the problem of robust decentralized adaptive neural stabilization control for a class of nonaffine nonlinear interconnected large-scale systems with unknown dead zones was investigated, and an adaptive neural decentralized controller was systematically derived without requiring any information on the boundedness of dead zone parameters (slopes and break points).

TL;DR: Wang et al. as discussed by the authors proposed a tracking algorithm based on spline fitting Curve fitting, based on historical point trace, reflects the mobility information and prediction is only based on the curve fitting over the measured data Monte Carlo simulation results show that the proposed algorithm has better accuracy than the conventional Kalman filter algorithm and the interactive multiple model filtering algorithm, maintaining simple structure and small amount of storage.

TL;DR: Based on the Lyapunov stability argument and the property of the matrix-weighted Laplacian, some sufficient criteria are derived for solving the lag-bipartite formation tracking (LBFT) problem of the networked robotic systems (NRSs) with directed matrix- Weighted signed graphs.

TL;DR: A deterministic annealing neural network method based on Lagrange-barrier functions and two neural network models to solve the production transportation problem and is shown to converge to the stable equilibrium state and be completely stable.