Cunwu Han

Power and rate control for wireless communication networks with nonlinear channel fading

This paper investigates power and rate control for wireless communication networks. A new system model with nonlinear channel fading is established, while it was not considered in existing power and rate control methods. After that, a power and rate control method is presented based on the model predictive control (MPC), and the stability and the performance of the closed-loop system are guaranteed via Lyapunov approach with linear matrix inequality (LMI). The effectiveness of the proposed controller is verified through simulation results.

Modeling and optimal tracking for power and rate in wireless communication networks with multiple time delays

This paper concerns multiple time delays in power and rate control for wireless communication networks with external disturbance. Based on the mathematical state-space model established for the wireless communication networks with state delay and input delay, a compensation algorithm for multiple time delays of general form model is researched and it can be applied into our model. An optimal tracking algorithm is given and the optimal control law can be obtained by solving the matrix Riccati algebraic equation. Finally, simulation results show that the proposed algorithm has good control performance.

Active fault tolerant control of networked systems with sensor fault

In this paper, the active fault tolerant control problem of networked systems with sensor fault is studied. The network-induced delay treated as the round-trip time (RTT) delay and additive sensor fault are taken into consideration. A networked predictive active fault tolerant control (NPAFTC) scheme based on networked predictive control approach is proposed to eliminate the effect of the sensor fault and compensate for the network-induced delay at the same time. The network-induced delays of the two data transmission channels are described by the RTT delays, which can be extended to represent or include other communication constraints, such as packet disorder and loss. A new fault estimation method that can estimate the sensor fault and the system state simultaneously based on Kalman filter is presented. Then a predictive controller based state-feedback, which can generate a sequence of predictive control signals to actively compensate for the RTT delay, is designed. A sufficient condition is derived for the stability of the resulting closed-loop system by using the switched system theory. Finally, numerical simulation demonstrates the effectiveness of the proposed method.

Optimal guaranteed cost control for linear systems based on state feedback

For the constant linear system and a given quadratic performance index, study the optimal guaranteed cost analysis and control problems based on the linear matrix inequality (LMI) method. Through some lemmas, the conditions of the guaranteed cost state feedback control are converted into a problem of LMI solvability. By solving the LMI, the guaranteed cost controller parameters can be obtained. In turn, give an optimization algorithm with LMI constraints, to obtain optimal guaranteed cost control law. The results can be implemented by the Matlab, and the curve of control and state can be simulated by the Simulink. Finally, two numerical examples are used to verify the feasibility and the correctness of the result.

Fault detection for linear discrete-time systems with output quantisation

ABSTRACT This paper is concerned with the problem of fault detection for a class of linear discrete-time quantised feedback systems, and system outputs are, respectively, quantised by a uniform quantiser and a non-uniform quantiser. A novel unified method is proposed to deal with the two different types of quantisation errors, i.e. the quantisation errors are considered as unknown inputs of the residual generator. Then, an optimal residual generator is constructed to guarantee a suitable trade-off between the sensitivity to faults and the robustness against disturbances as well as quantisation errors. In order to detect the occurrence of faults, the generated residual signal is evaluated, and then two different thresholds based on the stochastic properties of quantisation errors are designed for these two quantisers. In addition, the false alarm rate is introduced to evaluate the fault detection performance. Finally, two examples are given to illustrate the feasibility of the proposed approach.

Fault Detection for Singular Discrete-Time Linear Systems with Signal-to-Noise Ratio Constrained Channels

This paper deals with the fault detection problem for singular discrete-time linear systems with additive white Gaussian noise channels subject to signal-to-noise ratio constraints. An observer-based fault detection scheme which consists of residual generator, threshold and false alarm rate is constructed. In the proposed scheme, the design of residual generator is realized in the context of

Optmization for the upper bound of the perturbed parameter in singularly perturbed system based on genetic algorithm

{H_\infty }

Optimal active queue management for internet with reduced-order state-observer

H∞-filtering problem when the fault and unknown disturbance are present, and the estimations of both system state and fault are obtained in the design procedure. Then, in order to detect the fault, an online threshold based on the stochastic characteristics of channel noise is established. For the purpose of evaluating the fault detection system performance, the false alarm rate is guaranteed to be below a certain level. Finally, a simulation example is exploited to illustrate the application and effectiveness of the proposed method.