China
Africa
Explore chapters and articles related to this topic
Introduction
Published in Jun Song, Zidong Wang, Yugang Niu, Protocols-Based Sliding Mode Control, 2023
Jun Song, Zidong Wang, Yugang Niu
With rapid advances in communication network nowadays, more and more system information is delivered via communication networks. Accordingly, in control engineering practice, the system components (e.g. controller, sensor, actuator, and sampler) are likely to be connected by communication networks on a digital platform where the sampled signals, sensor signals, and control signals are transmitted through a shared network medium. The usage of networks in control systems gives rise to the so-called networked control systems (NCSs) that facilitate the remote execution of certain tasks such as monitoring and control. The NCSs have many merits such as low cost, reduced weight and power, and easy manipulation. Nevertheless, the implementation of communication networks between system components has largely raised the level of complexities in the analysis and synthesis of the overall NCSs due mainly to the inherent network constraints (e.g. limited bandwidth). The network-induced phenomena include, but are not limited to, packet dropouts, communication delays, delivery disorders, data collisions, network congestions and signal quantizations [16, 53, 203]. These phenomena, if not adequately dealt with, could lead to rather serious side effects (i.e. degradation or even destabilization) to the overall NCSs. Subsequently, in the past decade, the problems of eliminating/compensating these effects caused by network-induced phenomena have been extensively investigated, see [59, 194, 202] and references therein.
WirelessHART, The Leading Technology for Industrial Wireless Networked Control Systems
Published in Tran Duc Chung, Rosdiazli Ibrahim, Vijanth Sagayan Asirvadam, Nordin Saad, Sabo Miya Hassan, TM, 2017
Tran Duc Chung, Rosdiazli Ibrahim, Vijanth Sagayan Asirvadam, Nordin Saad, Sabo Miya Hassan
In a complex system like an industrial process plant, the system consists of thousands of pieces of equipment and control loops. Each control loop can operate on its own; however, in order to ensure integrity operation of the entire plant, all single control loops need to be connected and controlled by a master control room. The connections between a network of all control loops form a networked control system. Depending on the communication medium, the networked control system can be mainly categorized into wired and wireless networked control systems. The wireless category can be further divided into wireless networked control systems for home, office and industrial applications. The following sections will further discuss these types of networked control systems in detail.
Optimal schedule design
Published in Longo Stefano, Tingli Su, Herrmann Guido, Barber Phil, Optimal and Robust Scheduling for Networked Control Systems, 2018
Longo Stefano, Tingli Su, Herrmann Guido, Barber Phil
The integration challenge is the design of policies that orchestrate the communication among the networked control system components. In other words, the design of communication schedulers. In computer science, scheduling is often seen as a way to ensure that tasks meet their deadlines. In real-time control systems, the scheduler becomes part of the dynamics of the system and therefore, rather than merely meeting deadlines, scheduling must cater for performance. If we find a way to predict the performance of a system for a given scheduling policy, then we can implement the policy that maximizes this performance.
An optimal filter for updated input of iterative learning controllers with multiplicative and additive noises
Published in International Journal of Systems Science, 2022
Lixun Huang, Lijun Sun, Tao Wang, Qiuwen Zhang, Weihua Liu, Zhe Zhang
In the past several years, one of the most important trends is the increasing application of networked control systems. The introduction of networks makes such systems have many advantages such as reduced weight, low cost, easy maintenance and installation. However, networks also bring about some fresh uncertainties. Especially for the system controlled over wireless networks, the channel is usually time-varying. This time-variability may be caused by relative motion between the receiver and the transmitter and the moving objects in the communication environment. Therefore, in addition to additive noise, data in transmission would be also subject to multiplicative noise, which means the received signal amplitude is changed randomly due to the time-variability of wireless channels (Quevedo et al., 2013). As a result, the analysis, estimation and control for systems with imperfect communication have become a focus of research (J. Hu et al., 2016; You et al., 2014; You & Xie, 2013).
A survey on control for Takagi-Sugeno fuzzy systems subject to engineering-oriented complexities
Published in Systems Science & Control Engineering, 2021
Yezheng Wang, Lei Zou, Lifeng Ma, Zhongyi Zhao, Jiyue Guo
In the networked control systems, system components (such as sensors, controllers and actuators) are connected to the common (sometimes even public) channels to exchange their information. If no effective procedures of the security protection are deployed in such a transmission environment, it may give opportunities to attackers/opponents to steal the system information and further formulate attack signals to damage the system performance. Furthermore, if the cyber-attacks happen and no corresponding measures are adopted immediately, it will endanger the security of systems and even cause heavy casualties and property losses. Thus, the security control issues for networked systems have become a hot and important research topic, aiming at providing a satisfactory solution against cyber-attacks.
A survey on hyper basis function neural networks
Published in Systems Science & Control Engineering, 2019
Yuguo Zhou, Tong Mu, Zhong-Hua Pang, Changbing Zheng
Networked control systems have many advantages such as low cost, high reliability and flexible structure (Gupta & Chow, 2009; Yang, 2006) and it has been widely used in telemedicine, robotics, aerospace, etc. However random packet loss and delay often occur in networked control systems due to the introduction of the networks, so overcoming this problem has become a hot topic in control engineering field. The network constraint problems not only reduce the performance of the system, and even worse destroy system stability. Therefore, the study of the stability, fault detection, state estimation (Du & Du, 2009; Hua, Yu, & Guan, 2014) and prediction of output data has received more and more attention (Gupta & Chow, 2009).