Submission Deadline: 18 September 2017
IEEE Access invites manuscript submissions in the area of Analysis and Synthesis of Time-delay Systems.
Time-delay, which often represents a source of instability and oscillation. is unavoidable in many practical systems such as networked control systems, communication networks, manufacturing and biology. Moreover, the appearance of delay can have a stabilizing effect and delayed feedback control can be used to stabilize some unstable systems. Due to its theoretical and practical importance, increasing attention has been focused on the analysis and synthesis of time-delay systems and various new approaches have been proposed to reduce their conservatism. The aim of reducing the conservatism of delay-dependent stability criteria is to establish new stability criteria to provide a maximal allowable delay as large as possible. Among different techniques, the reduced conservatism is mainly obtained by constructing an improved Lyapunov functional and employing a tighter bound on some weighted cross products. A great number of effective methods have been provided such as delay partitioning method, convex combination method and Wirtinger-based inequality. However, how to further reduce the conservatism and how to apply the obtained theoretical results to practical systems are challenging and hot topics.
Many practical engineering systems can be modeled by time-delay systems. Various analysis and synthesis problems of time-delay systems are challenging and fascinating tasks in modern systems and control theory as well as in academic and industrial applications. The purpose of this Special Section in IEEE Access is to highlight recent significant developments on various analysis and synthesis of time-delay systems and new approaches in mathematical modeling real-world time-delay systems.
The topics of interest include, but are not limited to:
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Associate Editor: Zhiguang Feng, Victoria University, Australia
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IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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