Liu Jianchang

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Two typical adaptive algorithms, LMS filtering and RLS filtering, were introduced and compared in this paper. The convergence performance and tracking performance in non-stationary were analyzed by simulation. When the identification plant was time-varying, adaptive filters should have the ability of tracking the minimum point. Compared with LMS filters,(More)
Given that the LQG benchmark is closer to the actual production, performance assessment of cascade control system based on LQG benchmark has been proposed. The joint input and output subspace identification algorithm was used to estimate the process model, noise transfer function, the inner loop controller and the outer loop controller. And three possible(More)
This paper presents a neural network method to locate common fault exactly in a distribution power system (DPS) with renewable sources. The back propagation (BP) neural network method is applied to identify patterns of voltage and current measured from distribution branches. The input matrix of BP network consists of the voltage and current values, which(More)
This paper investigates the analytical methods of the stability problem for Stochastic multi-agent systems by stochastic control theory. The system model, the control protocol and the desired performance are analyzed for stochastic multi-agent systems with external disturbance, uncertainty, time-delay, and dynamic network topology.
Aiming at a class of networked control systems (NCSs) in the presence of network-induced delay and data packet dropout simultaneously from sensor to controller, a new optimal controller design method is proposed based on particle swarm optimization (PSO) with predatory search strategy. The rough feedback gain and its feasible region are firstly obtained(More)
In the industrial process, not only is the output of the system expected to achieve the minimum variance, but also the variance of process input fluctuates in a certain range. However, minimum variance benchmark can meet the former but not the requirements of latter because of strong control effect. Therefore, subspace identification with combined input and(More)
Flatness is an important quality of the steel strip, and the flatness control is the key technology of modern rolling mills with high precision of flatness. Taking the adaptive flatness control system of tandem cold rolling mill as the research object, based on some theoretical research and simulation analysis on the adaptive flatness executing system(More)
Computer simulation technology, which with application of software platforms likes FLASH, MultiSim and MATLAB/SIMULINK, was introduced into teaching progress, considering the existing teaching situation and features of the motion control system. By combining the theory explaining and simulation results together, it become more easy to reveal and exposit the(More)
As an end-to-end congestion control mechanism, Active Queue Management (AQM) technology maintains smaller queue length and higher link utilization through discarding packets in intermediate network nodes. This paper discussed some previous AQM algorithms, RED, BLUE and RLGD, and found out shortcomings in which by comparing with them. On the Basis of(More)