Modern enterprises are large complex systems operating in highly dynamic environments thus requiring quick response to a variety of change drivers. Moreover, they are systems of systems wherein understanding is availa...
详细信息
ISBN:
(数字)9781728132839
ISBN:
(纸本)9781728120522
Modern enterprises are large complex systems operating in highly dynamic environments thus requiring quick response to a variety of change drivers. Moreover, they are systems of systems wherein understanding is available in localized contexts only and that too is typically partial and uncertain. With the overall system behaviour hard to know a-priori and conventional techniques for system-wide analysis either lacking in rigour or defeated by the scale of the problem, the current practice often exclusively relies on human expertise for monitoring and adaptation. We present an approach that combines ideas from modeling & simulation, reinforcement learning and control theory to make enterprises adaptive. The approach hinges on the concept of Digital Twin - a set of relevant models that are amenable to analysis and simulation. The paper describes illustration of approach in two real world use cases.
Replacing the human driver to perform the Dynamic Driving Task (DDT)[1] will require perception, complex analysis and assessment of traffic situation. The path leading to success the deployment of fully Autonomous Veh...
详细信息
ISBN:
(纸本)9781538670255
Replacing the human driver to perform the Dynamic Driving Task (DDT)[1] will require perception, complex analysis and assessment of traffic situation. The path leading to success the deployment of fully Autonomous Vehicle (AV) depends on the resolution of a lot of challenges. Both the safety and the security aspects of AV constitute the core of regulatory compliance and technical research. The Autonomous Driving System (ADS) should be designed to ensure a safe manoeuvre and a stable behaviour despite the technological limitations, the uncertainties and hazards which characterize the real traffic conditions. In fully Autonomous Driving situation, detecting all relevant objects and agents should be sufficient to generate a warning, however the ADS requires further complex data analysis steps to quantify and improve the safety of decision making. This paper aims to improve the robustness of decision-making in order to mimic human-like decision ability. The approach is based on machine learning to identify the criticality of the dynamic situation and enabling ADS to make appropriate decision and fulfil safe manoeuvre.
Power system will occur chaotic oscillation when it is exist periodic load disturbances. As for it, the simplified mathematical model of interconnected two- machine second-order power system is established based on th...
Power system will occur chaotic oscillation when it is exist periodic load disturbances. As for it, the simplified mathematical model of interconnected two- machine second-order power system is established based on the modelling and analysis of nonlinear system theory, and the dynamic behaviour of chaotic oscillation in power system is analysed. According to the sliding mode control and fuzzy control theory, the fuzzy-based sliding mode control is proposed, it is also analysed and proved theoretically. Simulations results show that the proposed method can suppress the chaotic oscillation in power system effectively. It not only reduce the convergence time, but also reduced the chattering of the system, and has strong robustness.
The proceedings contain 37 papers. The special focus in this conference is on Software Technologies: Applications and Foundations. The topics include: On the Need for Temporal Model Repositories;on the Need for Artifa...
ISBN:
(纸本)9783319747293
The proceedings contain 37 papers. The special focus in this conference is on Software Technologies: Applications and Foundations. The topics include: On the Need for Temporal Model Repositories;on the Need for Artifact Models in Model-Driven Systems engineering Projects;cognifying Model-Driven Software engineering;non-human Modelers: Challenges and Roadmap for Reusable Self-explanation;Some Narrow and Broad Challenges in MDD;modelling by the People, for the People;from Building Systems Right to Building Right Systems: A Generic Architecture and Its Model Based Realization;the Tool Generation Challenge for Executable Domain-Specific Modeling Languages;toward Product Lines of mathematical Models for Software Model Management;Introduction of an OpenCL-Based Model Transformation Engine;model-Driven Interaction Design for Social Robots;towards Integration of Context-Based and Scenario-Based Development;(An Example for) Formally Modeling Robot Behavior with UML and OCL;Synthesizing Executable PLC Code for Robots from Scenario-Based GR(1) Specifications;evaluating a Graph Query Language for human-Robot Interaction Data in Smart Environments;a Simulation Framework to Analyze Knowledge Exchange Strategies in Distributed Self-adaptive Systems;Workshop in OCL and Textual modelling: Report on Recent Trends and Panel Discussions;improving Incremental and Bidirectional Evaluation with an Explicit Propagation Graph;Translating UML-RSDS OCL to ANSI C;Mapping USE Specifications into Spec#;collaborative modelling with Version Control;Deterministic Lazy Mutable OCL Collections;Step 0: An Idea for Automatic OCL Benchmark Generation;SICOMORo-CM: Development of Trustworthy Systems via Models and Advanced Tools;Developer-Centric Knowledge Mining from Large Open-Source Software Repositories (CROSSMINER);technical Obsolescence Management Strategies for Safety-Related Software for Airborne Systems;loose Graph Simulations.
With the aim of using efficient control and/or diagnostic methods, more and more companies in the process engineering industry are using mathematical models to describe the underlying physical processes in sufficient ...
详细信息
The number of motor vehicle increases at each year in Indonesia involve much negative impact on human life such as traffic jam. People choose to go by bus to avoid the traffic jam. Another negative impact is an increa...
详细信息
The number of motor vehicle increases at each year in Indonesia involve much negative impact on human life such as traffic jam. People choose to go by bus to avoid the traffic jam. Another negative impact is an increase amount of carbon dioxide (CO2) emissions in the air. Replacing motor vehicle to electric vehicle is the better way to decrease amount of carbon dioxide emissions. Range extended electric bus is a type of electric bus which use electric and fuel for energy source. On the basis of a typical Japanese driving cycle, optimal control strategy is designed according to the state of charge (SOC) consumption trend, which is optimized by the dynamic programming (DP) algorithm. The SOC value determines the mileage and fuel consumption, it will be the main goal of energy management. The result show that when REEB go through distance as long as the distance of BRT UNDIP - UNNES bus route, the amount of Japanese driving cycle are 11 cycles. The energy and fuel consumption that optimized by DP strategy can reach 121.66 MJ and 0.0143 L/Km. Compared with the conventional bus, the fuel consumption reach 0.212 L/Km.
Robotics for hazardous environments is currently an important area of research, with the ambition of reducing human risk in potentially devastating situations. Here, we are presenting a Modular Control Framework (MCF)...
Robotics for hazardous environments is currently an important area of research, with the ambition of reducing human risk in potentially devastating situations. Here, we are presenting a Modular Control Framework (MCF) for a low-cost robot with limited sensory resources to address this issue. As a proof of concept, we emulate 3 scenarios - (1) adaptive planning for obstruction avoidance (road block), (2) object identification and support-case-based behaviour adjustment (search and rescue) and (3) autonomous navigation through the environment with reporting of structural status (patrol and monitoring). These were implemented and validated using a Cozmo robot in a small-scale Lego environment. We found that our system can reroute in 90%, can help an injured person 80% and report about failing equipment in 80% of all tested cases, where most of the fails were caused by the object detection used. Our MCF is implemented using ROS, making it easy to use and adjust for other robotic platforms.
The earthing segments of electrical power systems play an important role in ensuring human safety. A core function of these earthing systems is to maintain reliable operation and ensure safety for personnel and appara...
The earthing segments of electrical power systems play an important role in ensuring human safety. A core function of these earthing systems is to maintain reliable operation and ensure safety for personnel and apparatus during fault conditions. Earthing electrodes can be buried in the soil to dissipate lightning and fault currents into the earth and limit the effect of any magnitude of voltage and current generated between different contact points to earth structures that may be occupied by people or sensitive electrical equipment. In order to obtain the best design of an electrical system to protect power system installations and ensure human safety against abnormal conditions, it is useful to clarify the behaviour of earthing systems subjected to variable frequency currents. In this paper, a numerical study is thus implemented to investigate the behaviour of earthing electrodes subjected to variable frequency current using the computational software program HIFREQ/FFTSESCDEGS with a uniform equivalent soil model. The effect of soil resistivity and permittivity on the behaviour of earthing electrodes is thus obtained, and the relationship between the length of earthing electrodes and their earthing responses over a wide range of frequencies from DC up to 1MHz is identified.
The paper deals with mathematicalmodelling and experimental investigation of a novel electrothermal oscillator based on Shape Memory Alloys (SMA). The operation of the oscillator is based on a heated by DC electric c...
The paper deals with mathematicalmodelling and experimental investigation of a novel electrothermal oscillator based on Shape Memory Alloys (SMA). The operation of the oscillator is based on a heated by DC electric current SMA wire, mounted with a pre-tension between the free ends of two symmetrically arranged cantilever beams. Crystallographic changes in the SMA wire, consisting in the transition between austenitic and martensitic phases due to the periodic heating and cooling, lead to its intermittent shortening and stretching and thus mechanical and electrical vibrations are generated. The mathematical model of the system is derived using Lagrange-Maxwell formalism, Joule–Lenz law and Newton's law of cooling. Simulation results show two types of periodic motion – the first one with low frequency is due to the temperature variation in the wire and the second one is with much more higher frequency and is due to the mass and elastic properties of the system. Experimental validation of the mathematical model shows its suitability for description of the considered system dynamic behaviour.
Steam Assisted Gravity Drainage (SAGD) has emerged as a promising in-situ oil recovery method from Athabasca oil sand deposits in Alberta, Canada. Despite numerous successes, optimal SAGD operations remain a major cha...
详细信息
Steam Assisted Gravity Drainage (SAGD) has emerged as a promising in-situ oil recovery method from Athabasca oil sand deposits in Alberta, Canada. Despite numerous successes, optimal SAGD operations remain a major challenge. Present day operations depend on CAPEX intensive instrumentation to provide only a few critical process parameters, mathematicalmodelling for a priori or a posteriori "what if" scenarios and operator experience. In this paper, we present capabilities of Virtuoso, a first-of-its-kind comprehensive SAGD process simulator. This simulator is capable of conducting end-to-end SAGD process simulation including SAGD reservoir, production and injection well bore pipeline management, and artificial lift methods. These types of simulations require simultaneous simulations of the multiphase hydraulic and thermal behavior of steam/water, oil/water, and oil/water/gas. This requires modelling multiple fluids types in porous media, in near well bore as it enters the tubing, in the perforated tubing, and in the annular space. Previous efforts in the SAGD area have involved reservoir behaviour aimed at the full field over its five-year life. The comprehensive model described here is directed at the one hour to 30-day behaviour of the well. For example, an operator changes the set point for input steam rate, the ESP speed, and the annulus back pressure that may start to affect the production rate and lead to short circuiting of steam in 6 to 12 hours. Because of the model's complete scope, the operator can proactively control the well operations and gain operational experience in a virtual simulator. The results from the model were validated with 200 days of field SAGD well operations data. An excellent agreement between the predictions and field data were obtained for emulsion flow rates, water cut, and reservoir sub-cool. Further, the capabilities of the simulator are presented through case studies such as steam shutdown/restarts, steam hot-spots. Artificial li
暂无评论