Zhang Jiye

Necessary and sufficient criteria for absolute stability of the direct control system

In this paper, some necessary and sufficient conditions for absolute stability of several classes of direct control system are given, and the two simplified forms of the control systems obtained twice[2.4] are discussed. The corresponding results in [7–12] are improved.

Terminal sliding mode control for vehicle longitudinal following in automated highway system

In this paper, based on the nonlinear dynamical coupled model of string of vehicles, by the design method of terminal sliding mode control, the longitudinal following control of string of vehicles in automated highway system is studied, the control law for each vehicle in the platoon is designed. Simulation results showed that the convergence rate of spacing errors of the vehicle platoon is fast.

Global stability in hopfield neural networks with distributed time delays

In this paper, without assuming the boundedness, monotonicity and differentiability of the activation functions, the conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of Hopfield neural network models with distributed time delays are studied. Using M-matrix theory and constructing proper Liapunov functionals, the sufficient conditions for global asymptotic stability are obtained.

Necessary and sufficient conditions for the absolute stability of discrete type lurie control system

AbstractIn this paper, it is discussed that the obsolute stability for zero solution of the discrete type Lurie control system(1)

A cellular automata model of traffic flow with variable probability of randomization

\left. {\begin{array}{*{20}c} {x(n + 1) = Ax(n) + bf[\sigma (n)]} \\ {\sigma (n) = c^T x(n)} \\ \end{array} } \right\}

Wind-Induced Security of High-Speed Trains on the Ground

in which the nonlinear function f(δ) satisfying conditions as follows(2)

Video images vehicle detection and recognition

\begin{array}{*{20}c} {f(0) = 0,\sigma f(\sigma ) > 0} & {(\sigma \ne 0)} \\ \end{array}