Entity

Time filter

Source Type


Zhang W.-A.,Zhejiang University of Technology | Zhang W.-A.,Zhejiang Provincial United Key Laboratory of Embedded Systems | Yu L.,Zhejiang University of Technology | Yu L.,Zhejiang Provincial United Key Laboratory of Embedded Systems
International Journal of Robust and Nonlinear Control | Year: 2011

This paper presents a robust control approach to solve the stability and stabilization problems for networked control systems (NCSs) with short time-varying delays. A new discrete-time linear uncertain system model is proposed to describe the NCS, and the uncertainty of the network-induced delay is transformed into the uncertainty of the system matrix. Based on the obtained uncertain system model, a sufficient BIBO stability condition for the closed-loop NCS is derived by applying the small gain theorem. The obtained stability condition establishes a quantitative relation between the BIBO stability of the closed-loop NCS and two delay parameters, namely, the delay upper bound and the delay variation range bound. Moreover, design procedures for the state feedback stabilizing controllers are also presented. An illustrative example is provided to demonstrate the effectiveness of the proposed method. © 2010 John Wiley & Sons, Ltd. Source


Song H.,Zhejiang University of Technology | Song H.,Zhejiang Provincial United Key Laboratory of Embedded Systems | Yu L.,Zhejiang University of Technology | Yu L.,Zhejiang Provincial United Key Laboratory of Embedded Systems | And 2 more authors.
IET Control Theory and Applications | Year: 2014

This study investigates the multi-sensor-based centralised estimation problem in heterogeneous sensor networks with a common communication channel. Owing to the heterogeneity of the distributed sensors, it is usually impossible to package the measurements into one packet and transmit them to the fusion centre (FC) together, which implies that the measurements should be forwarded to the FC asynchronously. In view of this, a novel stochastic competitive transmission strategy is proposed to stagger the sensors' transmissions. By using the asynchronous sampled information from the sensors, an H ∞ filter is designed for the FC to periodically generate estimates. The filter parameters are determined by solving a linear-matrix inequality. An illustrative example is provided to demonstrate the effectiveness of the proposed theoretical results. © The Institution of Engineering and Technology 2014. Source


Chen B.,Zhejiang University of Technology | Chen B.,Zhejiang Provincial United Key Laboratory of Embedded Systems | Yu L.,Zhejiang University of Technology | Yu L.,Zhejiang Provincial United Key Laboratory of Embedded Systems | And 2 more authors.
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2011

The robust Kalman filtering problem is investigated in this paper for linear uncertain stochastic systems with state delay, observation delay, and missing measurement. For robust performance, stochastic parameter perturbations are considered in the system matrix. The missing measurement can be described by a Bernoulli distributed random variable and its probability is assumed to be known. Based on the minimum mean square error (MMSE) estimation principle, a new filter design method is proposed by using the projection theory. The dimension of the designed filter is the same as the original systems. Compared with conventional state augmentation, the presented approach greatly lessens the computational demand when the delay is large. A simulation example is given to illustrate the effectiveness of the proposed approach. © 2011 Acta Automatica sinica. All rights reserved. Source


Chen B.,Zhejiang University of Technology | Chen B.,Zhejiang Provincial United Key Laboratory of Embedded Systems | Yu L.,Zhejiang University of Technology | Yu L.,Zhejiang Provincial United Key Laboratory of Embedded Systems | And 2 more authors.
Neural Computing and Applications | Year: 2011

This paper is concerned with the exponential stability analysis problem for a class of neutral bidirectional associative memory neural networks with mixed time-delays, where discrete, distributed and neutral delays are involved. By utilizing the delay decomposition approach and an appropriately constructed Lyapunov-Krasovskii functional, some novel delay-dependent and decay rate-dependent criteria for the exponential stability of the considered neural networks are derived and presented in terms of linear matrix inequalities. Furthermore, the maximum allowable decay rate can be estimated based on the obtained results. Three numerical examples are given to demonstrate the effectiveness of the proposed method. © 2010 Springer-Verlag London Limited. Source


Chen B.,Zhejiang University of Technology | Chen B.,Zhejiang Provincial United Key Laboratory of Embedded Systems | Yu L.,Zhejiang University of Technology | Yu L.,Zhejiang Provincial United Key Laboratory of Embedded Systems | And 2 more authors.
Circuits, Systems, and Signal Processing | Year: 2011

This paper is concerned with the H ∞ filtering problem for a class of nonlinear Markovian switching genetic regulatory networks (GRNs) with time-delays, intrinsic fluctuation and extrinsic noise. The delays, which exist in both the translation process and feedback regulation process, are not dependent on the system model. The intrinsic fluctuation is described as a state-dependent stochastic process, while the extrinsic noise is modeled as an arbitrary signal with bounded energy, and no exact statistics about the noise are required to be known. The aim of the problem addressed is to design a Markovian jump linear filter to estimate the true concentrations of mRNA and protein through available measurement outputs. By resorting to the Lyapunov functional method and some stochastic analysis tools, it is shown that if a set of linear matrix inequalities (LMIs) is feasible, then the desired linear filter exists. The designed filter ensures asymptotic mean-square stability of the filtering error system and two prescribed L 2-induced gains from the noise signals to the estimation errors. Finally, an illustrative example is given to demonstrate the effectiveness of the approach proposed. © 2011 Springer Science+Business Media, LLC. Source

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