2,251 research outputs found
Time-and event-driven communication process for networked control systems: A survey
Copyright © 2014 Lei Zou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.In recent years, theoretical and practical research topics on networked control systems (NCSs) have gained an increasing interest from many researchers in a variety of disciplines owing to the extensive applications of NCSs in practice. In particular, an urgent need has arisen to understand the effects of communication processes on system performances. Sampling and protocol are two fundamental aspects of a communication process which have attracted a great deal of research attention. Most research focus has been on the analysis and control of dynamical behaviors under certain sampling procedures and communication protocols. In this paper, we aim to survey some recent advances on the analysis and synthesis issues of NCSs with different sampling procedures (time-and event-driven sampling) and protocols (static and dynamic protocols). First, these sampling procedures and protocols are introduced in detail according to their engineering backgrounds as well as dynamic natures. Then, the developments of the stabilization, control, and filtering problems are systematically reviewed and discussed in great detail. Finally, we conclude the paper by outlining future research challenges for analysis and synthesis problems of NCSs with different communication processes.This work was supported in part by the National Natural Science Foundation of China under Grants 61329301, 61374127, and 61374010, the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany
Integral Input-to-State Stability of Nonlinear Time-Delay Systems with Delay-Dependent Impulse Effects
This paper studies integral input-to-state stability (iISS) of nonlinear
impulsive systems with time-delay in both the continuous dynamics and the
impulses. Several iISS results are established by using the method of
Lyapunov-Krasovskii functionals. For impulsive systems with iISS continuous
dynamics and destabilizing impulses, we derive two iISS criteria that guarantee
the uniform iISS of the whole system provided that the time period between two
successive impulse moments is appropriately bounded from below. Then we provide
an iISS result for systems with unstable continuous dynamics and stabilizing
impulses. For this scenario, it is shown that the iISS properties are
guaranteed if the impulses occur frequently enough. For impulsive systems with
stabilizing impulses and stable continuous dynamics for zero input, we obtain
an iISS result which shows that the entire system is uniformly iISS over
arbitrary impulse time sequences. As applications, iISS properties of a class
of bilinear systems are studied in details with simulations to demonstrate the
presented results
Distributed Adaptive Fault-Tolerant Control of Uncertain Multi-Agent Systems
This paper presents an adaptive fault-tolerant control (FTC) scheme for a
class of nonlinear uncertain multi-agent systems. A local FTC scheme is
designed for each agent using local measurements and suitable information
exchanged between neighboring agents. Each local FTC scheme consists of a fault
diagnosis module and a reconfigurable controller module comprised of a baseline
controller and two adaptive fault-tolerant controllers activated after fault
detection and after fault isolation, respectively. Under certain assumptions,
the closed-loop system's stability and leader-follower consensus properties are
rigorously established under different modes of the FTC system, including the
time-period before possible fault detection, between fault detection and
possible isolation, and after fault isolation
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