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This paper deals with the problem of complex spatio-temporal networks, which is modeled by coupled partial integro-differential equations (PIDEs). A spatial proportional-integral-derivative (SPID) state-feedback controller is studied. With Laypunov direct method, a sufficient condition on synchronization of the complex PIDE network is investigated in terms of linear matrix inequality (LMIs). Finally,...
This paper studies boundary control for function projective synchronization of a complex sptio-temporal network with time-varying delays and nonlinear terms satisfying the Lipschitz condition. A boundary controller based on distributed measures is studied for function projective synchronization. Using Lyapunov's direct method, the problem of existence of the controller is formulated as the feasibility...
This paper presents an adaptive leak detection and location scheme for gas pipelines by using acoustic emission (AE) sensors. When gas being ejected from pipelines, an acoustic emission is produced at the leak hole and the acoustic vibration is transmitted along the pipeline. The acoustic movement can be picked up by AE sensors placed at either sides of a suspected leak on the outer surface of pipelines...
Losses due to leaking is severe in underground pipes, which necessitates studies on techniques for detecting and locating the leaks. The classical adaptive time delay estimation method, LMSTDE, will give a biased estimate when input data are contaminated with noise. This paper develops and analyses a new adaptive filter structure for time delay estimation (TDE), which can eliminate this bias. Simulation...
When the inputs are blurred with noises, the LMSTDE actually gives the biased estimate. In this paper, we propose a new method of time delay estimation to accurately estimate the time delay in the presence of additive noise. By analyzing the cost function of the LMS algorithm, we construct a new cost function through which an optimal unbiased estimate of the time delay can be obtained. According to...
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