Event-based state estimation for a class of complex networks with time-varying delays: A comparison principle approach |
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Authors: | Wenbing Zhang Zidong Wang Yurong Liu Derui Ding Fuad E. Alsaadi |
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Affiliation: | 1. Department of Mathematics, Yangzhou University, Yangzhou 225002, China;2. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, United Kingdom;3. Shanghai Key Lab of Modern Optical System, Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;4. Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia |
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Abstract: | The paper is concerned with the state estimation problem for a class of time-delayed complex networks with event-triggering communication protocol. A novel event generator function, which is dependent not only on the measurement output but also on a predefined positive constant, is proposed with hope to reduce the communication burden. A new concept of exponentially ultimate boundedness is provided to quantify the estimation performance. By means of the comparison principle, some sufficient conditions are obtained to guarantee that the estimation error is exponentially ultimately bounded, and then the estimator gains are obtained in terms of the solution of certain matrix inequalities. Furthermore, a rigorous proof is proposed to show that the designed triggering condition is free of the Zeno behavior. Finally, a numerical example is given to illustrate the effectiveness of the proposed event-based estimator. |
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Keywords: | Event-triggering State estimation Complex networks Comparison principle Time-varying delays |
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