Jing Yuan-wei

Robust decentralized stabilization for large-scale systems with multiple time-varying delays and nonlinear uncertainties

In this paper, the problem of the robust stabilization for a class of uncertain large-scale systems with multiple time-varying delays is investigated. The uncertainties are nonlinear time-varying and do not require a matching condition. The memoryless state-feedback controller for the robust stabilization of the systems is proposed. Based on the Lyapunov method, a sufficient condition for the stability is derived in terms of a linear matrix inequality (LMI). A numerical example is given to illustrate the proposed method.

Robust H∞ observer-based control for synchronization of a class of complex dynamical networks

This paper is concerned with the robust H? synchronization problem for a class of complex dynamical networks by applying the observer-based control. The proposed feedback control scheme is developed to ensure the asymptotic stability of the augmented system, to reconstruct the non-measurable state variables of each node and to improve the H? performance related to the synchronization error and observation error despite the external disturbance. Based on the Lyapunov stability theory, a synchronization criterion is obtained under which the controlled network can be robustly stabilized onto a desired state with a guaranteed H? performance. The controller and the observer gains can be given by the feasible solutions of a set of linear matrix inequalities (LMIs). The effectiveness of the proposed control scheme is demonstrated by a numerical example through simulation.

Stabilizing controllers design for a networks control system with time-varying sampling periods

In this paper, the mathematical model of networked control systems with time-varying sampling periods and delays that they are driven by two Markov chains are established, the necessary and sufficient conditions ensuring the stochastic stability of systems are presented, and the controller design ensuring the stochastic stability of systems is also proposed by using the cone complementarity linearization method. The simulation results illustrate the effectiveness of the proposed controller design.

The minimax control based on T-S model applied to AQM

Aiming at the nonlinear model of TCP network, we carried out a T-S fuzzy model with uncertain parameters which can describe the AQM more approximate; In addition, we achieved the sufficient condition for the existing of minimax controller with considering the situation that the system got the max impact when being disturbed by LMI and Liapunov stability theory. The simulation showed the control algorithm we proposed had better stability and robustness as well as dynamic performance that the message queue length being converged to the expected value more quickly.

Global sliding mode control based on observer for TCP network

The problem of network congestion control is studied for a class of TCP network systems with state delay and external disturbance. Because the state of the system is not fully measurable, the state observer is designed. The sufficient conditions for the robust stability of the error system is given based on linear matrix inequality (LMI) and Lyapunov stability theory. According to the reaching condition of sliding mode control theory, the global sliding mode controller is designed. Global sliding mode control is used to eliminates the reaching phase of the sliding mode control and ensure the robustness of the whole control process. The simulation results show that the proposed algorithm has good robustness and the instantaneous queue length can converge to the expected queue length effectively.

Decentralized load frequency variable structure control of multi-area interconnected power system

The load frequency problem is considered for the multi-area interconnected power system based on decentralized variable structure control method. A new PI-type sliding surface is constructed for each subsystem, and discontinuous control law is designed which is able to force the composite system to be asymptotically stable and to be insensitive to the system uncertainties. To illustrate the effectiveness of the proposed decentralized variable structure control scheme, the interconnected power system is considered, the simulation results can indicate that the proposed control scheme works well.

Warfare command decision making analysis of information support based on Lanchester equation

this paper researches a class of warfare command decision making problems of dissymmetrical information support, Based on the features of dissymmetrical information war, we develop a corresponding warfare command decision making model by using Lanchester equation. Proper military principle which can transform the battlefield situation is analyzed quantitatively. The analysis model and the proposed approach may reflect the effect of information war in warfare command decision making. The computation results show the feasibility and effectiveness of the proposed model.

Exponential Synchronization of Uncertain Complex Dynamical Networks with Delay Coupling

This paper studies the global exponential synchronization of uncertain complex delayed dynamical networks. The network model considered is general dynamical delay networks with unknown network structure and unknown coupling functions but bounded. Novel delay-dependent linear controllers are designed via the Lyapunov stability theory. Especially, it is shown that the controlled networks are globally exponentially synchronized with a given convergence rate. An example of typical dynamical network of this class, having the Lorenz system at each node, has been used to demonstrate and verify the novel design proposed. And, the numerical simulation results show the effectiveness of proposed synchronization approaches.

A new sliding mode control approach for a class of uncertain Takagi-Sugeno fuzzy time-delay systems

In this paper, a new sliding-mode control method is studied for a class of uncertain fuzzy time delay system. The time-delay terms and parametric uncertainties in the systems are bounded time varying and mismatched, respectively. The reaching condition is satisfied with linear sliding surface based on linear matrix inequalities method. The simulation example is proposed to prove the system can derive exponential stability by using of the designed controller.

Solving the Problem of the Link Optimizing and Delay-constrained Multicast Routing Based on GA

In this paper, we investigate the problem of multicast routing in IP network with the link cost and delay-constrained. For the limitation of OSPF (open short path first) net protocol, the unbalance use of link often results in the congestion in the larger scale network. Our contribution is that we consider the multicast routing problem taking into consideration the congestion due to the unbalance use of link, and we present a improved genetic algorithm to solving the problem of the multicast routing. The genetic algorithm begins from a least-delay tree, then iteratively replaces expensive tree links with cheaper links during the crossover, and gets final multicast tree satisfied delay constraint. Through extensive simulation experiments, we result show that the proposed genetic algorithm can perform better in terms of delay an running time, and construct optimal delay-constrained multicast tree efficiently.