Lei Zou

TL;DR: A novel state estimator is presented to estimate the network states using Lyapunov theory combined with the stochastic analysis approach, and sufficient conditions are established to guarantee the ultimate boundedness of the estimation error in mean square.

TL;DR: This paper is concerned with the state estimation problem for a class of nonlinear dynamical networks with time-varying delays subject to the round-robin protocol, and designs an estimator, such that the estimation error is exponentially ultimately bounded with a certain asymptotic upper bound in mean squaresubject to the process noise and exogenous disturbance.

TL;DR: In the improved PSO algorithm, an adaptive fractional-order velocity is introduced to enforce some disturbances on the particle swarm according to its evolutionary state, thereby enhancing its capability of jumping out of the local minima and exploring the searching space more thoroughly.

TL;DR: A novel MHE strategy is developed to cope with the underlying NLS with unknown inputs by dedicatedly introducing certain temporary estimates of unknown inputs, where the desired estimator parameters are designed to decouple the estimation error dynamics from the unknown inputs.