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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

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Monte carlo simulation of non-stationary air temperature time-series 8

Monte carlo simulation of non-stationary air temperature tim...

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8th international conference on Simulation and modeling Methodologies, Technologies and Applications, SIMULTECH 2018

作者： Kargapolova, Nina Laboratory of Stochastic Problems Institute of Computational Mathematics and Mathematical Geophysics Pr. Ak. Lavrent'eva 6 Novosibirsk Russia Department of Mathematics and Mechanics Novosibirsk State University Pirogov St. 2 Novosibirsk Russia

ISBN: (纸本)9789897583230

Two numerical stochastic models of air temperature time-series are considered in this paper. The first model is constructed under the assumption that time-series are nonstationary. In the second model air temperature time-series are considered as a periodically correlated random processes. Data from real observations on weather stations was used for estimation of models' parameters. On the basis of simulated trajectories, some statistical properties of rare meteorological events, like sharp temperature drops or long-term temperature decreases in summer, are studied. Copyright © 2018 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.

关键词： Time series

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control of water distribution networks using convex approximations: WIP abstract 19

Control of water distribution networks using convex approxim...

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Proceedings of the 10th ACM/IEEE international conference on Cyber-Physical systems

作者： Shen Wang Ahmad F. Taha Nikolaos Gatsis Marcio H. Giacomoni The University of Texas at San Antonio

ISBN: (纸本)9781450362856

The status quo of control in water distribution networks (WDN) relies on simple, rule-based control strategies to operate pumps and valves. For example, pumps are switched on/off if a tank's water level---a local measurement---is below/above a certain threshold. As an alternative to localized, rule-based control, network-driven control that utilize WDN topology and measurements can be ***, network-driven control of WDNs is very difficult as hydraulic models are nonconvex, valve and pump models form non-trivial, combinatorial logic, and water demand patterns are uncertain. Prior research on control of WDNs addressed major research challenges, yet mostly adopted simplified hydraulic models, WDN topologies, and rudimentary valve/pump modeling. This Work-in-Progress showcases the potential of network-driven control of WDNs. The proposed approach amounts to solving a series of convex optimization problems that graciously scale to large networks. Simple case studies are included showcasing early results, and applications of the proposed optimization methods to other WDN applications are discussed.

关键词： model predictive control water distribution networks geometric programming pump and valve control

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2018 IEEE international conference on Simulation, modeling, and Programming for Autonomous Robots, SIMPAR 2018

2018 IEEE International Conference on Simulation, Modeling, ...

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2018 IEEE international conference on Simulation, modeling, and Programming for Autonomous Robots, SIMPAR 2018

ISBN: (纸本)9781538659748

The proceedings contain 26 papers. The topics discussed include: comparison of control methods: learning robotics manipulation with contact dynamics;DoShiCo challenge: domain shift in control prediction;surface/subsurface mapping with an integrated rover-GPR system, a simulation approach;reactive path planning for collaborative robot using configuration space skeletonization;reinforcement learning for non-prehensile manipulation: transfer from simulation to physical system;learning from outside the viability kernel: why we should build robots that can fail with grace;analysis of a simple model for post-impact dynamics active compliance in humanoids falls with nonlinear optimization;nonlinear model predictive control with adaptive time-mesh refinement;dynamic programming accelerated evolutionary planning for constrained robotic missions;increased visibility sampling for probabilistic roadmaps;an open-source architecture for simulation, execution and analysis of real-time robotics systems;the control toolbox - an open-source C++ library for robotics, optimal and model predictive control;simulating differential games with improved fidelity to better inform cooperative & adversarial two vehicle UAV flight;the sleepwalker framework: verification and validation of autonomous vehicles by mixed reality lidar stimulation;dynamics simulation for an upper-limb human-exoskeleton assistance system in a latent-space controlled tool manipulation task;CU-brick cable-driven robot for automated construction of complex brick structures: from simulation to hardware realisation;and ROS-health: an open-source framework for neurorobotics.

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Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling

Dynamic Occupancy Grid Prediction for Urban Autonomous Drivi...

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IEEE international conference on Robotics and Automation (ICRA)

作者： Hoermann, Stefan Bach, Martin Dietmayer, Klaus Univ Ulm Inst Measurement Control & Microtechnol Ulm Germany

ISBN: (纸本)9781538630815

Long-term situation prediction plays a crucial role for intelligent vehicles. A major challenge still to overcome is the prediction of complex downtown scenarios with multiple road users, e.g., pedestrians, bikes, and motor vehicles, interacting with each other. This contribution tackles this challenge by combining a Bayesian filtering technique for environment representation, and machine learning as long-term predictor. More specifically, a dynamic occupancy grid map is utilized as input to a deep convolutional neural network. This yields the advantage of using spatially distributed velocity estimates from a single time step for prediction, rather than a raw data sequence, alleviating common problems dealing with input time series of multiple sensors. Furthermore, convolutional neural networks have the inherent characteristic of using context information, enabling the implicit modeling of road user interaction. Pixel-wise balancing is applied in the loss function counteracting the extreme imbalance between static and dynamic cells. One of the major advantages is the unsupervised learning character due to fully automatic label generation. The presented algorithm is trained and evaluated on multiple hours of recorded sensor data and compared to Monte-Carlo simulation. Experiments show the ability to model complex interactions.

关键词： Vehicle dynamics Machine learning Sensor fusion Roads Time series analysis Laser radar"

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control algorithms development for manufacturing and economic systems activity 14

Control algorithms development for manufacturing and economi...

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14th international Scientific and Technical conference on problems of Energy systems and Thermal Power complexes, PESPC 2018

作者： Ivanova, D.V. Salov, A.G. Gavrilova, A.A. Samara State Technical University Institute of Architecture and Construction Samara Russia Department of Heat and Gas Supply and Ventilation Samara State Technical University Institute of Architecture and Construction Doctor of Sciences Docent Samara Russia Department of Management and Systems Analysis of Thermal Power and Socio-Technical Complexes Samara State Technical University Samara Russia

The present study explores the efficiency of the manufacturing and economic entities and aims to improve the controlling mechanisms. Detailed analysis is proven to be required for the occurring manufacturing and economic processes in fuel and energy complex since the manufacturing ramp-up will inevitably entail environmental deterioration. A control algorithm for the activity of a regional manufacturing and economic entity of Samara oblast power grid was developed. This control algorithm allowed to perform an integrated analysis of the entity functioning, to study the internal and external connections between the resources, to design the control systems for the entity functioning, to forecast the development scenarios and suggest alternative options for the power grid activity. The developed control systems for the processes within the thermal power production and related systems contain adaptive capital investment share control systems. They differ from the known systems in the part of ensuring the sustainable decrease of the negative environmental impact while increasing the overall efficiency of thermal energy production in the regional power grid. © 2018 IOP Publishing Ltd.

关键词： Electric power transmission networks

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An Enhanced Jaya Optimization Algorithm (EJOA) for Solving Multi-Objective ORPD Problem

An Enhanced Jaya Optimization Algorithm (EJOA) for Solving M...

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international conference on Innovative Trends in Computer Engineering (ITCE)

作者： A. F. Barakat Ragab A. El-Sehiemy Mohamed I. Elsayd E. Osman Department of Electrical Engineering Kaferelsheikh University KaferelSheikh Egypt Department of Electrical Engineering AL-Azhar University Cairo Egypt

This article presents an enhanced Jaya optimization algorithm (EJOA) for solving a multi objective function (MOF) of the optimal reactive power dispatch (ORPD) problem. This solution aims to determine the optimal scheduling of control variables to achieve the ORPD primary objectives as well as respecting equality and inequality constrains. This problem is concerned with minimizing the real power losses (P L ) and voltage deviation (VD) in power systems. The ORPD problem can be formulated as a non-linear and complex framework. The MOF is dependent on a combination of weighted sum method and fuzzy logic to find the best compromise solution of the competitive objective functions (COFs). For proving the effectiveness of the proposed EJOA, two test systems, IEEE 30-bus system and the network of west delta as a real system (WDRN), are used to prove the capability of the proposed Jaya algorithm with weight sum method and fuzzy member ship for solving a multi-objective ORPD problem. The obtained results confirm that the proposed Jaya algorithm is an effective tool that can makes a noticeable enhancement on solving ORPD problem.

关键词： Linear programming Reactive power Search problems Optimal scheduling Load flow Power system stability

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international conference on Applied Mathematics, modeling and Computational Science, AMMCS 2017

International conference on Applied Mathematics, Modeling an...

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international conference on Applied Mathematics, modeling and Computational Science, AMMCS 2017

ISBN: (纸本)9783319997186

The proceedings contain 57 papers. The special focus in this conference is on Applied Mathematics, modeling and Computational Science. The topics include: Inverse problems Using Iterated Function systems with Place-Dependent Probabilities;Solving Inverse problems for Fractional ODEs via the Collage Theorem;characterization of Fluid Dynamics in Capillary Vessels: Applications for Drug Delivery;large Eddy Simulation of Turbulent Flow Over a Hill Using a Canopy Stress Model;a Computational Model for Adjusting Surface Tension Coefficient in Pseudo-potential Lattice Boltzmann Method;magnetohydrodynamic Flow in a Rectangular Duct;the Effects of Thermal Radiation on a Reactive Hydromagnetic Internal Heat Generating Fluid Flow Through Parallel Porous Plates;exponential Stability of Discrete Impulsive Switched Singular systems with Time Delay;Experimental Investigation of ABB Effect on Unbalanced Rotor Vibration;robust Reliable control and Input-to-State Stabilization for Uncertain Hybrid systems;Optimization of a Flanged DAWT Using a CFD Actuator Disc Method;axisymmetric Simulations of Nonlinear Sound Propagation in a Trumpet;turbulent Diffusion of Inertial Particle Pairs Such as in Pollen and Sandstorms;coupled Axial, In Plane and Out of Plane Bending Vibrations of Cable Harnessed Space Structures;a Comparison of the Magnus Expansion and Other Solvers for the Chemical Master Equation with Variable Rates;temperature Effect on Sound Scattering by Fine Bubbles in Viscoelastic Liquid;a Fourth-Order Compact Numerical Scheme for Three-Dimensional Acoustic Wave Equation with Variable Velocity;on Global Properties of Gowdy Spacetimes in Scalar-Tensor Theory;A Computational Resolution of the Inverse Problem of Kinetic Capillary Electrophoresis (KCE);exact Coloring of Sparse Matrices;Circle Inversion IFS.

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Long/Short-Term Appearance modeling and Two-Step Association for Multi-Object Tracking

Long/Short-Term Appearance Modeling and Two-Step Association...

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international conference on Intelligent Transportation

作者： Yating Liu Xuesong Li Kunfeng Wang Yong Yan Fei-Yue Wang State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China State Grid Zhejiang Electric Power Company LTD Hangzhou 310007

ISBN: (纸本)9781538670255

Vision-based multi-object tracking has many potential applications in intelligent transportation systems and intelligent vehicles. Tracking by detection, as a popular approach to multi-object tracking, first obtains detection responses from video sequence and then associates them into tracks for every object. Existing tracking-by-detection methods can work well in constrained scenarios. However, in those complicated scenarios with occlusion and adverse illumination conditions, the detection stage is deteriorated and thus makes it difficult to track objects accurately. In this paper, we present a robust tracker that represents object appearance using stable temporal features and associates the detection responses through a two-step association process. We propose to use Bi-LSTM (Bidirectional Long Short-Term Memory) to model object appearance and obtain reliable temporal features. Then, we estimate the affinity between tracks and detections based on multiple cues including appearance, motion and shape, and integrate the affinity into a two-step association procedure. Our method is verified on MOT datasets and the experimental results are promising as compared to the state-of-the-art.

关键词： Feature extraction Shape Robustness Target tracking Predictive models

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Smart city initiatives in India: Classification from system's perspective 1

Smart city initiatives in India: Classification from system'...

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1st international conference on Data Science and Analytics, PuneCon 2018

作者： Kidwai, Anab Saraph, Anupam Pune Maharashtra India Indian Institute of Management Symbiosis International University Lucknow Uttar Pradesh India Pune Maharashtra India

ISBN: (纸本)9781538672785

The Government of India has listed 77 initiatives under its Smart City program. Such a huge number of interventions into a dynamic complex system necessitate a means to evaluate the dynamics of the consequences intended by each of the initiatives. As a precursor to exploring scenarios of the intended dynamics, we identify the systems structure resulting from the intended consequence of each initiative. Providing an effective insight into the smart city policy, we classify the initiatives with systems structures that seek to improve the achievement of goals and those that attempt to control the problems within the city. The implications and usefulness of this classification are explained as a first step to evaluate Smart City initiatives. © 2018 IEEE.

关键词： Feedback

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10th international conference on Modelling, Identification and control, ICMIC 2018

10th International Conference on Modelling, Identification a...

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10th international conference on Modelling, Identification and control, ICMIC 2018

ISBN: (纸本)9781538654163

The proceedings contain 106 papers. The topics discussed include: complex network node centrality measurement based on multiple attributes;entry trajectory reconstruction for an unpowered reusable launch vehicle under the change of landing field;T-S fuzzy logic control with genetic algorithm optimization for pneumatic muscle actuator;face recognition and tracking system based on embedded platform;range-only SLAM for underwater navigation system with uncertain beacons;parameter estimation algorithm for state space systems with time-delay based on the iterative identification;the improved multi-innovation parameter estimation algorithms for the sine signal modeling with the single-frequency;center difference set membership filter by zonotopes for nonlinear system;and comparison of de-phase algorithm and DC offset cancellation on pre-whitening.

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