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A new delay system approach to network-based control

TLDR
A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
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This article is published in Automatica.The article was published on 2008-01-01 and is currently open access. It has received 1143 citations till now. The article focuses on the topics: Networked control system & Nonlinear control.

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Citations
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The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository

Minyue Fu, +1 more
TL;DR: In this paper, a number of quantized feedback design problems for linear systems were studied and the authors showed that the classical sector bound approach is non-conservative for studying these design problems.
Journal ArticleDOI

Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance

TL;DR: A newly developed NCS model including all these network phenomena is provided, including communication constraints, to provide an explicit construction of a continuum of Lyapunov functions that guarantee stability of the NCS in the presence of communication constraints.
Journal ArticleDOI

A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control

TL;DR: Considering the dynamics of the overall closed-loop system, nonlinear model predictive control method is proposed to guarantee the system stability and compensate the network-induced delays and packet dropouts and to demonstrate the effectiveness of the proposed method.
Journal ArticleDOI

Event-triggered communication and H∞ control co-design for networked control systems

TL;DR: This paper studies an event-triggered communication scheme and an H"~ control co-design method for networked control systems (NCSs) with communication delay and packet loss with a novel Lyapunov-Krasovskii functional.
Journal ArticleDOI

A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

TL;DR: The purpose of this paper is to provide a comprehensive review of the research on stability of continuous-time recurrent Neural networks, including Hopfield neural networks, Cohen-Grossberg neural networks and related models.
References
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Book

Introduction to Functional Differential Equations

TL;DR: The present book builds upon the earlier work of J. Hale, "Theory of Functional Differential Equations" published in 1977 and attempts to maintain the spirit of that book and have retained approximately one-third of the material intact.
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Stability of Time-Delay Systems

TL;DR: Preface, Notations 1.Introduction to Time-Delay Systems I.Robust Stability Analysis II.Input-output stability A.LMI and Quadratic Integral Inequalities Bibliography Index
Journal ArticleDOI

Stability of networked control systems

TL;DR: This work model NCSs with packet dropout and multiple-packet transmission as asynchronous dynamical systems and analyze their stability using stability regions and a hybrid systems technique, and discusses methods to compensate network-induced delay.
Journal ArticleDOI

Time-delay systems: an overview of some recent advances and open problems

TL;DR: Some open problems are discussed: the constructive use of the delayed inputs, the digital implementation of distributed delays, the control via the delay, and the handling of information related to the delay value.
Journal ArticleDOI

A cone complementarity linearization algorithm for static output-feedback and related problems

TL;DR: This paper describes a linear matrix inequality (LMI)-based algorithm for the static and reduced-order output-feedback synthesis problems of nth-order linear time-invariant (LTI) systems with n/sub u/ and n/ sub y/) independent inputs (respectively, outputs).
Related Papers (5)
Frequently Asked Questions (18)
Q1. What are the contributions in "A new delay system approach to network-based control" ?

This paper presents a new delay system approach to network-based control. The second part of this paper utilizes the new model to investigate the problem of network-based control, which has emerged as a topic of significant interest in the control community. 

In an NCS, the most significant feature is the network induced delays, which are usually caused by limited bits rate of the communication channels, by a node waiting to send out a packet via a busy channel, or by signal processing and propagation. 

The space of square-integrable vector functions over [0, ∞) is denoted by L2[0, ∞), and for w ={w(t)} ∈ L2[0, ∞), its norm is denoted by ‖w‖2. 

Time-delay systems, also called systems with after effect or dead time, hereditary systems, equations with deviating argument or differential–difference equations, have been an active research area for the last few decades. 

Theintroduction of this new model is motivated by the observation that sometimes in practical situations, signals transmitted from one point to another may experience a few network segments, which can possibly induce successive delays with different properties due to variable network transmission conditions, and has been clearly justified by a state-feedback remote control problem. 

H∞ disturbance attention level bound with admissible controllers can be readily found by solving the following convex optimization problem:Minimize subject to (60) over P̄ > 0, Q̄ 0, R̄ 0, Z̄i > 0, i = 1, 2, M̄ > 0, K̄ , S̄, T̄ , Ū ,V̄ , and diagonal matrix W̄ > 0. 

When the authors do not consider the lower bound of the network induced delays, that is, m = 0, by using Theorem 3 (assuming that m is sufficiently small), the minimum guaranteed closed-loop H∞ performance obtained is min =3.1207. 

From Theorem 3, the authors know that there exists a statefeedback controller in the form of (31) such that the closed-loop NCS in (36) is asymptotically stable with an H∞ disturbance attention level if there exist matrices P > 0, Q 0, R 0, Zi > 0, i = 1, 2, M > 0, K, S, T, U, V, and a diagonal matrix W > 0 satisfying (47). 

It is assumed that the network induced delays k satisfy m k M, the maximum number of data packet dropouts is 2, and the sampling period is 10 ms. 

The most commonly and frequently used state-space model to represent time-delay systems isẋ(t) = Ax(t) + Adx(t − d(t)), (1) where d(t) is a time delay in the state x(t), which is often assumed to be either constant, or time-varying satisfying certain conditions, e.g.,0 d(t) d̄ < ∞, ḋ(t) < ∞. (2) Almost all the reported results on time-delay systems are based on this basic mathematical model. 

Theorem 5. Consider the NCS in Fig. 1. Given a positive constant , there exists a state-feedback controller in the form of (31) such that the closed-loop system in (36) is asymptotically stable with an H∞ disturbance attention level if there exist matrices P > 0, P̄ > 0, W > 0, Q̄ 0, R̄ 0, X > 0, X̄ > 0, Y > 0, Ȳ > 0, Ni > 0, N̄i > 0, Zi > 0, Z̄i > 0, i = 1, 2, M̄ > 0, K̄ , S̄, T̄ , Ū , V̄ , and a diagonal matrix W̄ > 0 satisfying (61) and[−X P∗ −M ] 0, [−Y P ∗ −W ]0,[−Ni P ∗ −Zi ] 0, (63)P̄ P = I, X̄X = I, Ȳ Y = I, W̄W = The author, Z̄iZi = I, N̄iNi = I, i = 1, 2. (64) Moreover, if the above condition is feasible, a desired controller gain matrix in the form of (31) is given by (58). 

In Fig. 1, it is assumed that the sampler is clock-driven, while the quantizer, controller and zero-order hold (ZOH) are event-driven. 

The sampling period is assumed to be h where h is a positive real constant and the authors denote the sampling instant of the sampler as sk , k = 1, . . . ,∞. 

More specifically, assuming that the matrices A, B, C, D, E, F in (27) and the controller gain matrix K in (31) are known, the authors shall study the conditions under which the closed-loop NCS in (36) is asymptotically stable with an H∞ disturbance attention level . 

Following the work of Lam et al. (2007), it is their intention in this paper to present new stability and H∞ performance conditions for systems with multiple successive delay components, and apply this new model to network-based control. 

The reason is that the signal transmission delays may not necessarily be integer multiples of the sampling period, and thus the ZOH may be updated between sampling instants. 

In addition, it is assumed that the state variable x(t) is measurable, and the measurements of x(t) are firstly quantized via a quantizer, and then transmitted with a single packet. 

Since (23) guarantees 1 + 2 + T2 + 3 + 6 + 4 + 5 < 0, the authors have yT(t)y(t) − 2wT(t)w(t) + V̇ (t) < 0 (26)for all nonzero w ∈ L2[0, ∞).