The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We examine a robot task sequencing problem for a flexible assembly system which consists of multiple 3D printers, two post-processing machines, multiple assembly machines, an inspection machine, and one material handling robot. The flexible assembly systems, which have been built in many large cities in Korea, are designed to produce customized products for start-up companies and individuals. In this...
In this paper, we consider the bipartite complete matching vertex interdiction problem, taking into account some incompatibilities existing among the resources to assign. This problem ensures the obtainment of a robust assignment, which is defined by the number of missing resources still allowing a valid assignment. We introduce graph formulations, considering a single time period or several ones...
A compact representation of a car following model considering the headway and vehicle-to-vehicle (V2V) communication delay is presented. The platoon exponential stability and its robust stability with respect to time-varying matrix perturbations are studied. The analysis is carried out in the time domain, via Lyapunov-Krasovskii functionals depending on the delay Lyapunov matrix. Platoon illustrative...
Knowledge is grounded in experience, and the scenario approach studies how experience can be used to optimize our decisions in relation to prescribed goals. A fundamental element in decision-making is the presence of uncertainty so that in a real world the same decision never generates exactly the same outcome. In this talk we discuss the link between complexity of the decision and its robustness...
Virtual and remote labs have been around for almost twenty years and while they have been constantly gaining popularity since their appearance, there are still many people in the control education community who either do not know many details about them or do not know them at all. What are their benefits? Which examples of virtual and remote labs for control education can be found in the Internet...
Wireless transmitters are responsible for sending information signals to receivers in telecommunication systems, such as in cellular networks. These devices operate under very restrictive conditions as no power can be transmitted outside the transmitter's given channel bandwidth, and the in-channel signal must be sent with a high quality level. Therefore, the distortion generated by the signal amplifying...
Machine learning is nowadays applied to massive data sets of considerable size, including potentially unbounded streams of data. Under such conditions, the scalability of learning algorithms is of major concern, calling for an effective data management and the use of appropriate data structures for time- and space-efficient implementations. Starting with a brief introduction to large-scale machine...
This talk will summarize the main characteristics of the scheduling problems and introduce the non-availability constraints' context. More precisely, we will focus on the description of two scenarios: the offline and the semi-online contexts. The first part of this talk will be devoted to the presentation of the considered optimization problems and their applications. In the second part, we will show...
Nowadays information systems are based more and more on off-the-shelf products like Enterprise Resource Planning (ERP) systems. An ERP system is an integrated software package composed by a set of standard functional modules (Production, Sales, Human Resources, Finance, etc.), developed or integrated by the vendor, which can be adapted to the specific needs of each customer. Despite the significant...
This communication considers the issue of deriving a model to describ how the inoperating level of a particular system (a production unit, a transportation system, an energy supply plant, etc.) of interconnected or interdependent systems (neworking and interdependency are interchangeable in this communication) will impact the operating level of other systems for the purpose of analysis, simulation,...
The paper focuses on variable-rotor-speed/variable-blade-pitch wind turbines operating in the region of high wind speeds, where control is aimed at limiting the turbine energy capture to the rated power value. A robust sliding mode approach is proposed, using the blade pitch as control input, in order to regulate the rotor speed to a fixed rated value, in the presence of uncertainties characterizing...
In model-based fault detection and isolation (FDI), Analytical Redundancy Relations (ARRs) play a key role. Residuals as the result of their numerical evaluation serve as fault indicators. This paper proposes a novel approach to the generation of ARRs from a diagnostic bond graph (DBG) of a mode switching linear time invariant (LTI) model with ideal switches that hold for all modes of operation. Devices...
Statistical control charts are essential to ensure both safety and efficient operation of many industrial processes. Many dimensionality reduction techniques such as principal component analysis (PCA) and Partial Least Squares (PLS) regression exist, and are often employed for modeling purposes as they are relatively easy to compute. However, these techniques are only effective for modeling and monitoring...
We develop an optimization algorithm in order to improve the nonlinear optimal robust controller for diesel engine which equipped by Exhaust Gas Recirculation and Variable Geometry Turbocharger systems. For this goal we present a new way to search the optimal shape of control Lyapunov function which permits to calculate the parameters to achieve stabilization and optimal control criteria. The idea...
Statistical process monitoring charts are critical in ensuring safety for many chemical processes. Principal Component Analysis (PCA) is often used, due to its computational simplicity. However, many chemical processes may be inherently nonlinear, and this degrades the performance of the linear PCA method. Kernel Principal Component Analysis (KPCA) is an extension of the conventional PCA chart, which...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.