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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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Addressing Student Misinterpretations of Story problems in MAST

Addressing Student Misinterpretations of Story Problems in M...

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international conference on Advanced control Circuits systems (ACCS) systems / international conference on New Paradigms in Electronics and Information Technology (PEIT)

作者： Khodeir, Nabila Wanas, Nayer Elazhary, Hanan Hegazy, Nadia Elect Res Inst Informat Dept Giza Egypt King Abdulaziz Univ Fac Comp & Informat Technol Comp Sci Dept Jeddah Saudi Arabia Elect Res Inst Comp & Syst Dept Giza Egypt

ISBN: (纸本)9781538664070

Story problems are of ultimate importance of mathematics. This stems from the fact that they help improve various students' skills including reading the story problem, extracting the embedded mathematical information and the unknown quantity to compute, and applying the correct mathematical operators to solve the problem. Unfortunately, this type of problems may suffer from misinterpretation errors and errors due to overlooking some embedded information regardless of the proficiency of the students in mathematics. This paper introduces the Math Story Problem Tutor (MAST), a Web-based intelligent tutoring system of probability story problems. The focus of this paper is to explain how MAST deals with those problems using the Question Generation Module (QGM) and the Cognitive Module (CM). The QGM is able to generate story problems based on Natural Language Generation (NLG) techniques. This results in known semantic descriptions and linguistic structures of each story problem part. The CM, on the other hand generates the correct answer through interpreting the story problem parts and converting them into a corresponding mathematical model. This helps MAST in tracing the student answer and addressing any misinterpretations or overlooked information using different types of feedback. A satisfaction questionnaire has shown extreme satisfaction of the students and teachers with the capabilities of MAST.

关键词： Automatic Question Generation Cognitive modeling Intelligent Tutoring systems Natural Language Generation Story problems

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Cooperative coverage for surveillance of 3D structures

Cooperative coverage for surveillance of 3D structures

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IEEE/RSJ international conference on Intelligent Robots and systems (IROS) / Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics

作者： Adaldo, Antonio Mansouri, Sina Sharif Kanellakis, Christoforos Dimarogonas, Dimos V. Johansson, Karl H. Nikolakopoulos, George KTH Royal Inst Technol Sch Elect Engn Dept Automat Control Osquladas Vag 10 S-10044 Stockholm Sweden Lulea Univ Technol Dept Comp Elect & Space Engn Control Engn Div Robot Grp SE-97187 Lulea Sweden

ISBN: (纸本)9781538626825

In this article, we propose a planning algorithm for coverage of complex structures with a network of robotic sensing agents, with multi-robot surveillance missions as our main motivating application. The sensors are deployed to monitor the external surface of a 3D structure. The algorithm controls the motion of each sensor so that a measure of the collective coverage attained by the network is nondecreasing, while the sensors converge to an equilibrium configuration. A modified version of the algorithm is also provided to introduce collision avoidance properties. The effectiveness of the algorithm is demonstrated in a simulation and validated experimentally by executing the planned paths on an aerial robot.

关键词： Three-dimensional displays Mobile communication Robot sensing systems Surveillance Unmanned aerial vehicles Solid modeling

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Fuzzy controller Optimization Using a Genetic Algorithm for Non-Collocated Semi-Active MR Based control of a Three-DOF Framed Struture

Fuzzy Controller Optimization Using a Genetic Algorithm for ...

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APCA international conference on Automatic control and Soft Computing (controlO)

作者： Manuel T. Braz-César Rui C. Barros Pedro L.P. Folhento Dept. of Applied Mechanics Polytechnic Institute of Bragança Bragança Portugal Dept. of Civil Engineering University of Porto Porto Portugal Polytechnic Institute of Bragança Bragança Portugal

This paper aims to explore the usefulness of a simple genetic algorithm (GA) optimized Fuzzy Logic controller (FLC) to reduce the response of a three-DOF framed structure equipped with a MagnetoRheological (MR) damper. These actuators can be controlled in bi-state control mode and/or in a semi-active configuration by continuously adjusting the amount of damping according to the actual response. Generally, model based controllers are designed to determine the actuator output. In recent years, soft computing techniques have been implemented to deal with the highly non-linear nature of structural systems. Among others, fuzzy based controllers seem to be adequate approach for these cases due to the inherent ability to deal with uncertain systems. However, a FLC design requires a wide experience in operating the system. This can be very difficult to implement in complex systems and several optimization techniques have been suggested to enhance the design process of fuzzy controllers. In this paper, a genetic algorithm (GA) optimized semi-active fuzzy based controller is proposed to reduce the seismic response of a three degree-of-freedom (DOF) structure using a MR damper at the first DOF. The uncontrolled and controlled structural responses are compared to evaluate the effectiveness of the semi-active fuzzy based controller.

关键词： Shock absorbers Mathematical model Genetic algorithms Damping Optimization Fuzzy logic Computational modeling

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LMI-Based Fuzzy Optimal Variance control of Airfoil Model Subject to Input Constraints

LMI-Based Fuzzy Optimal Variance Control of Airfoil Model Su...

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IEEE international conference on Fuzzy systems (FUZZ-IEEE)

作者： Swei, Sean S. M. Ayoubi, Mohammad A. NASA Ames Res Ctr Intelligent Syst Div Moffett Field CA 94035 USA Santa Clara Univ Dept Mech Engn Santa Clara CA 95053 USA

ISBN: (纸本)9781509060344

This paper presents a study of fuzzy optimal variance control problem for dynamical systems subject to actuator amplitude and rate constraints. Using Takagi-Sugeno fuzzy modeling and dynamic Parallel Distributed Compensation technique, the stability and the constraints can be cast as a multi-objective optimization problem in the form of Linear Matrix Inequalities. By utilizing the formulations and solutions for the input and output variance constraint problems, we develop a fuzzy full-state feedback controller. The stability and performance of the proposed controller are demonstrated through its application to the airfoil flutter suppression.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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A Hierarchical Co-Simulation Optimization control System for Multimodal Freight Routing 20

A Hierarchical Co-Simulation Optimization Control System for...

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20th IEEE international conference on Intelligent Transportation systems (ITSC)

作者： Zhao, Yanbo Ioannou, Petros A. Dessouky, Maged M. Univ Southern Calif Dept Elect Engn Los Angeles CA 90089 USA Univ Southern Calif Dept Ind Engn Los Angeles CA 90089 USA

ISBN: (纸本)9781538615263

The complexity and dynamics of urban multimodal transportation environment make the optimum routing of freight a challenging task due to the unpredictability of the impact of incidents, disruptions and traffic demand changes. Routing decisions in complex and dynamical urban area networks rely on the minimization of a certain objective function which depends on accurate estimation of future states of the network which are not readily available. The purpose of this paper is to present a new load balancing algorithm for multimodal freight routing with hard vehicle availability and capacity constraints in a hierarchical Co-Simulation Optimization control approach. The evaluation results on a simulation testbed for the Los Angeles/Long Beach Port area demonstrate that the proposed load balancing algorithm provides a good performance of convergence.

关键词： Routing Mathematical model Optimization Transportation Heuristic algorithms Computational modeling Load management

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New approach of modeling supervisory control for manufacturing systems based on SysML 22

New approach of modeling supervisory control for manufacturi...

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22nd IEEE international conference on Emerging Technologies and Factory Automation, ETFA 2017

作者： Lu, Xiaoshan Piétrac, Laurent Niel, Eric INSA Lyon VilleurbanneF-69100 France

ISBN: (纸本)9781509065059

The supervisory control theory is widely used to deal with problems of controller design in the field of discrete event systems. Despite the academic attention over last several decades, there were few application cases in real industrial systems. Some scientific results have shown the difficulties of implementation of Supervisory control Theory (SCT) and proposed some possible solutions. On the other hand, the difficulty of using the theory for system engineers should also be taken into consideration. This paper presents a modeling approach of SCT based on SysML. Aimed at typical manufacturing systems, a three-level model template is proposed to bridge the gap between SCT and system design. For each template in the modeling library, there is one equivalent model in three levels: The SCT model level, the interface model level and SCT model level. The construction of modeling template is based on the prototype abstraction of typical manufacturing system elements. The transformation algorithms between each model level are given in the paper. The engineer can design the system by the standardized templates and modeling procedures in system engineering level. The correspondent SCT model will be created according to the transformation algorithm and computed the solution automatically. An example will be posed to validate the modeling methodology application at the end of the paper. ©2017 IEEE.

关键词： Discrete event simulation

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Deep dynamical modeling and control of unsteady fluid flows 18

Deep dynamical modeling and control of unsteady fluid flows

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Proceedings of the 32nd international conference on Neural Information Processing systems

作者： Jeremy Morton Freddie D. Witherden Antony Jameson Mykel J. Kochenderfer Department of Aeronautics and Astronautics Stanford University Department of Aerospace Engineering Texas A&M University

The design of flow control systems remains a challenge due to the nonlinear nature of the equations that govern fluid flow. However, recent advances in computational fluid dynamics (CFD) have enabled the simulation of complex fluid flows with high accuracy, opening the possibility of using learning-based approaches to facilitate controller design. We present a method for learning the forced and unforced dynamics of airflow over a cylinder directly from CFD data. The proposed approach, grounded in Koopman theory, is shown to produce stable dynamical models that can predict the time evolution of the cylinder system over extended time horizons. Finally, by performing model predictive control with the learned dynamical models, we are able to find a straightforward, interpretable control law for suppressing vortex shedding in the wake of the cylinder.

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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

作者： Stefan Hoermann Martin Bach Klaus Dietmayer Institute of Measurement Control and Microtechnology Ulm University Germany

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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Robust MPC for Networked control systems with Data-packet Dropouts Modeled as Disturbances 21

Robust MPC for Networked Control Systems with Data-packet Dr...

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21st international conference on System Theory, control and Computing (ICSTCC)

作者： Caruntu, Constantin F. Rafaila, Razvan C. Gheorghe Asachi Tech Univ Iasi Fac Automat Control & Comp Engn Bld D Mangeron 27 Iasi Romania Gheorghe Asachi Tech Univ Iasi Fac Elect Engn Energet & Appl Informat Bld D Mangeron 21-23 Iasi Romania

ISBN: (纸本)9781538638422

Nowadays, the control systems based on communication networks are used various industries such as manufacturing, automotive, aerospace, power generation and distribution, with many advantages and a couple of disadvantages. The latter can seriously affect the performances and the stability of each control system in the network and of the complex system as a whole. Moreover, it is well known that packet losses or data-packet dropouts are key factors for determining the quality of time-critical applications. As such, in this paper, the error caused by the data-packet dropouts which appear while sending the data through a communication network from the remote process to the controller and vice versa is modeled as a disturbance. Moreover, a novel methodology to find the limits of the hypothetical disturbance is proposed. Furthermore, the boundaries of the disturbances caused by the data-packet dropouts are taken into account explicitly during the designing phase of a predictive controller with inherited robustness based on flexible control Lyapunov functions. The system's input-to-state stability is guaranteed in a non-conservative way by the control algorithm. The predictive controller designed based on the proposed modeling methodology was tested on an electric power assisted steering (EPAS) system controlled through controller area network (CAN). Simulations were performed in Matlab/Simulink and the obtained results show that the modeling methodology and the control strategy are effective in achieving the desired performances.

关键词： networked control systems data-packet dropouts network-induced disturbances model predictive control flexible control Lyapunov functions electric power assisted steering

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Realization of Pursuit-Evasion Games with Unmanned Aerial Vehicles

Realization of Pursuit-Evasion Games with Unmanned Aerial Ve...

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international conference on Unmanned Aircraft systems (ICUAS)

作者： Alexopoulos, Alexander Kirsch, Benjamin Badreddin, Essameddin Heidelberg Univ Chair Automat ZITI Mannheim Germany

ISBN: (纸本)9781509044948

Multi-agent pursuit-evasion games are a common way to describe problems in topics like police missions, surveillance, or warfare. Since many agents are involved in such problems, a game-theoretical solution seems reasonable. Game-theoretical solution approaches are generally very complex, especially in games with more than two agents, as it is the case in this paper. More and more unmanned aerial vehicles (UAV), in particular multi-rotors, are used in such applications because of their high maneuverability in all three dimensions. Especially in dangerous missions and applications UAVs excel, as they do not risk the life of the pilot. Tele-operated UAVs still require a pilot which has to be trained to do a task and a constant radio link between the pilot and the vehicle has to be maintained. An autonomous agent, able of performing the task of cooperative pursue and evasion can substitute the pilot. In this work, a realization of cooperative pursuit-evasion games with UAVs is presented. A real-time implementation is proposed, enabling a game-theoretical solution of the regarded problem. The applicability was proven during several real outdoors flight experiments with a hex-rotor UAV. Furthermore, the results obtained by the flight experiments were compared to simulations of the same games. Although, the most experimental results met the reference, disturbances like strong wind, wind gusts and sensor uncertainties affected the results significantly.

关键词： Games Attitude control Real-time systems Rotors Velocity control Unmanned aerial vehicles Mathematical model

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