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This work presents the lessons learned and critical updates to the Research Oriented Underwater Glider for Hands-on Investigative Engineering (ROUGHIE). The open water testing experience with the original ROUGHIE provides key insight to design and operation of small scale autonomous underwater vehicles. This paper is organized to share necessary considerations that will be crucial for future vehicle...
In this paper, we propose and evaluate the application of unsupervised machine learning to anomaly detection for a Cyber-Physical System (CPS). We compare two methods: Deep Neural Networks (DNN) adapted to time series data generated by a CPS, and one-class Support Vector Machines (SVM). These methods are evaluated against data from the Secure Water Treatment (SWaT) testbed, a scaled-down but fully...
Every year pneumonia is the cause of death for over a million people worldwide, with most of these deaths occurring in areas that do not have access to advanced medical infrastructure. Current methods of diagnosis include physical exam findings and chest x-rays, which can greatly facilitate treatment but are limited by interobserver error and availability. Using rapid prototyping techniques, we have...
The long time-delay will result in the performance degradation of the networked control system. In this paper, a time-delay compensation method based on time stamp and fast implicit generalized predictive control is proposed. Because the differential action is introduced, this fast implicit generalized predictive control algorithm reduces the computation time and improves the performance of the control...
In industrial automation, EtherCAT is a real-time communication protocol widely employed in the local computer networks for fast and predictable data communication between system processes. End-to-end delay is a key performance indicator to industrial applications as it reflects the real-time capability of the system. This paper explores end-to-end delays of EtherCAT-based control systems under different...
Flap actuation systems (FAS) have numerous operational states, modes and environmental constraints, which translate to thousands of requirements associated with them. FAS must be analyzed and tested to determine compliance with requirements in any operating conditions. In this paper, examples of parametrized requirements for centrally driven FAS are presented and the advantages brought by a requirement...
The increasing complexity of automotive software systems and the desire for more frequent software and even feature updates require new approaches to the design, integration and testing of these systems. Ideally, those approaches enable an in-field updatability of automotive software systems that provides the same degree of safety guarantees as the traditionally lab-based deployment. In this paper,...
Compared with onshore wind turbines, fault detection and isolation (FDI) process is more important for offshore ones due to both additional loadings and maintenance difficulties. FDI will be more demanding when it comes to deep-sea floating wind turbines. In this work, an ensemble learning method, random forests (RF), is proposed to perform fault detection of offshore wind turbines, as RF is robust...
In this paper, after a brief introduction on the proposed plug-and-play (PnP) process monitoring and control system, two online configuration approaches are proposed for the observer-based residual generator. Firstly, an adaptive residual generator is developed based on the adaptive observer scheme. Aiming at higher feasibility and reliability of industrial application, an iterative learning approach...
Industrial IoT networks are typically used for monitoring systems and supporting control loops, as well as for movement detection systems, process control and factory automation. To this end, data generated by monitoring IoT devices are collected, elaborated and sent to controllers and actuators. The routing of data from IoT sensors to actuators is an integral part of any large-scale industrial network...
During the development and expansion of Internet of Things (IoT), main challenges needing to be addressed are the heterogeneity, interoperability, scalability, flexibility and security of IoT applications. In this paper, we view IoT as a large-scale distributed cyber-physical-social complex network. From that perspective, the above challenges are analyzed. Then, we propose a distributed multi-agent...
Recent years, the issue of cyber security has become ever more prevalent in the analysis and design of electrical cyber-physical systems (ECPSs). In this paper, we present the TrueTime Network Library for modeling the framework of ECPSs and focuses on the vulnerability analysis of ECPSs under DoS attacks. Model predictive control algorithm is used to control the ECPS under disturbance or attacks....
Smart farming is seen to be the future of agriculture as it produces higher quality of crops by making farms more intelligent in sensing its controlling parameters. Analyzing massive amount of data can be done by accessing and connecting various devices with the help of Internet of Things (IoT). However, it is not enough to have an Internet support and self-updating readings from the sensors but also...
The current and future trend in building and home automation sees an increasing pervasiveness of Internet of Things technologies, that allow to implement networks of low power sensors and actuators, and, at the same time, to enable advanced services and applications. In this paper we propose the use of a common protocol in the IoT domain, the MQTT, over a LoRa physical communication link, to jointly...
Piezoelectric bending actuators are suitable for a wide range of applications that require deflections in range of hundreds of microns. A variety of applications can be found in almost all fields of electrical engineering, mechanical engineering, acoustics, automation, automotive, health care and in countless further application areas of industry and daily life. Piezoceramic compacts, piezoceramic...
Today’s control systems such as smart environments have the ability to adapt to their environment in order to achieve a set of objectives (e.g., comfort, security and energy savings). This is done by changing their behaviour upon the occurrence of specific events. Building such a system requires to design and implement autonomic loops that collect events and measurements, make decisions and execute...
Exceptional properties of piezoelectric lead zirconate titanate (PZT) films and ceramics to convert mechanical forces into an electric field or vice versa make them appropriate in extensive applications in a vast array of areas including sensors and actuators. The purpose of this paper is to model, fabricate and analysis of a new designed flexible PZT-polymer laminated composite cantilever beam in...
This article is devoted to the developed method of development Smart-House-Systems Models, based on Petri-Markov Nets, and extended by functional components (sensors and actuators).
Autonomous vehicles are equipped with a variety of instrumentations, sensors and controls depending upon the mission of the target vehicle. One of the biggest challenges in developing autonomous vehicles system is their cost. Often times, researchers with limited budget do not have the resources to acquire realistic autonomous vehicle test platforms for carrying out their experiments on. Most researchers...
Formal methods help in coping with the growing functionality and complexity, time-to-market and costs in cyber-physical systems (CPSs). Supervisory control synthesis (SCS) is such a method. It can be used to synthesize a controller for a CPS from the uncontrolled system model (plant) and the specification model (requirements). While SCS is an active research topic, reports on industrial applications...
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