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American Control Conference

作者： Yi Guo Mario Rotea Tyler Summers Department of Mechanical Engineering The University of Texas at Dallas Richardson TX USA

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

Wind plants can increase annual energy production with advanced control algorithms by coordinating the operating points of individual turbine controllers across the farm. It remains a challenge to achieve performance improvements in practice because of the difficulty of utilizing models that capture pertinent complex aerodynamic phenomena while remaining amenable to control design. We formulate a multistage stochastic optimal control problem for wind farm power maximization and show that it can be solved analytically via dynamic programming. In particular, our model incorporates state- and input-dependent multiplicative noise whose distributions capture stochastic wind fluctuations. The optimal control policies and value functions explicitly incorporate the moments of these distributions, establishing a connection between wind flow data and optimal feedback control. We illustrate the results with numerical experiments.

关键词： dynamic programming Wind farms annual energy production computer algorithms moment distribution Stochastic Wind Moment of force

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Leader-Following Formation Control With Time-Varying Formations and Bounded Controls for Agents with Double-Integrator Dynamics

Leader-Following Formation Control With Time-Varying Formati...

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American Control Conference

作者： Zachary S. Lippay Jesse B. Hoagg Department of Mechanical Engineering University of Kentucky Lexington KY USA

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

We present a formation control algorithm for double-integrator agents, where the formation is time varying and the agents' controls satisfy a priori bounds (e.g., the controls accommodate actuator saturation). We assume that each agent has relative-position-and-velocity feedback of its neighbor agents, where the communication structure is a strongly connected graph, and at least one agent has a measurement of its position and velocity relative to the leader (if applicable). The main analytic results provide sufficient conditions such that all agents have a priori bounded controls and converge to the desired time-varying relative positions with one another and the leader. The results are global for an undirected communication structure, and local for the directed case. We also demonstrate the algorithm in rotorcraft experiments.

关键词： Agents bounded control communication structure time varying computer algorithms Double integrators Connected graph Standing Orders formation Geologic Formations

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PV integrated UPQC for sensitive Load

PV integrated UPQC for sensitive Load

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Emerging Trends in Information Technology and Engineering (ic-ETITE), Conference on

作者： S.S. Dheeban N.B. Muthu Selvan AAA College of Engineering and Technology Sivakasi India SSN College of Engineering Chennai India

ISBN: (数字)9781728141428

ISBN: (纸本)9781728141435

Unified Power Quality Conditioner system used on the distribution side of power system can be improvised by integrating with renewable energy resources like the photovoltaic system. Photo Voltaic (PV) integrated UPQC compensates for real (P) and reactive power (Q). PV-UPQC system consists of back to back series and shunt compensators interlinked by a common DC link capacitor powered by the photovoltaic system. The reactive power compensation is achieved by shunt compensator of PV-UPQC system. The voltage fluctuations like voltage sag/swell are compensated by the series compensator. The nonlinear sensitive loads like induction motor loads can introduce harmonics and distort the stability of the power system. The harmonics introduced by the induction motor load can be mitigated by PV-UPQC system. This paper involves the modelling of the PV-UPQC system in MATLAB. The synchronous reference frame control algorithm is used for the control of sensitive load. The PV system is coupled with an MPPT control algorithm and the boost converter is designed to provide power to the DC-Link. The induction motor load characteristics are analysed under various voltage fluctuating conditions.

关键词： Synchronous reference frame SRF Photo-Voltaic Total Harmonic Distortion Unified Power Quality Conditioner UPQC Voltage sag Voltage swell synchronous reference frame voltage swell Total harmonic distortion voltage sags self-resonance frequency dc-link capacitor computer algorithms Polydnaviridae LOAD power systems Power system stability boost converters induction motors

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Research on Leader-Follower Cooperative for Multi-Unmanned Surface Vehicles Based on Sigmoid Method

Research on Leader-Follower Cooperative for Multi-Unmanned S...

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Artificial Intelligence and Electromechanical Automation (AIEA), International Conference on

作者： Chong Qu Gongxing Wu Shuli Jia LinLing Wang Automation Engineering Department Shanghai Marine Diesel Engine Research Institute Shanghai China College of Ocean Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (数字)9781728182889

ISBN: (纸本)9781728182896

According to the actual needs of marine resource development and marine environmental protection, in order to solve the problem of cooperative operation of multiple Unmanned Surface Vehicles (USVs), a multi-USVs cooperative path tracking algorithm based on Sigmoid function is proposed. The characteristic model for multi-USVs synchronous navigation is established. The path tracking algorithm is studied for the leader USV based on the inverse trigonometric function method. Considering the turning speed, the follower USV collaborative control algorithm is discussed. The control algorithm is used for the cooperative navigation control of multi-USVs. In this paper, simulation experiments on cooperative navigation of multi-USVs are carried out. The experimental data shows the feasibility and reliability of the leader-follower cooperative mechanism and cooperative control algorithm.

关键词： Multiple Unmanned Surface Vehicle Cooperative control Leader-follower Sigmoid function coordinated control Ground vehicles computer algorithms Sigmoid Colon Resource development Unmanned Surface Vessel environment protection navigation

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Congestion Window Scaling Method for Inter-protocol Fairness of BBR

Congestion Window Scaling Method for Inter-protocol Fairness...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Yeong-Jun Song Geon-Hwan Kim You-Ze Cho School of Electronics Enginerring Kyungpook National University Daegu Korea

ISBN: (数字)9781728138930

ISBN: (纸本)9781728138947

Unlike the existing loss-based and delay-based congestion control algorithms, the Bottleneck Bandwidth Round-trip propagation time (BBR) congestion control algorithm determines the amount of sending data to be transferred at a specific time by calculting BDP (Bandwidth Delay Product). However, when BBR competes with loss-based congestion control algorithms, such as Reno and CUBIC, most of the bottleneck bandwidth is occupied by specific flows or excessive packet loss occurs. In previous work, we proposed an improved loss recovery mechanism in order to address above problems. Through the previous proposal, the fairness between BBR and loss-based algorithms was improved if the buffer size was larger than 2 BDP. However, if the buffer size was smaller than 2 BDP, the performance imbalance and continuous packet retransmission still occurred. In this paper, we propose a congestion window upper scaling method that complements the previously proposed loss recovery mechanism. In addition, we conduct an experiment and evalute its enhanced performance in a Mininet emulator.

关键词： computer network performance evaluation delays telecommunication congestion control transport protocols burnt beyond repair telecommunication congestion control transport protocols computer algorithms scaling method PPM1K gene ARID3B gene Beclomethasone delay Packet loss

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Fraudulent Firm Classification: A Case Study of an External Audit

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APPLIED ARTIFICIAL INTELLIGENCE 2018年第1期32卷 48-64页

作者： Hooda, Nishtha Bawa, Seema Rana, Prashant Singh Thapar Univ Comp Sci & Engn Dept Patiala India

This paper is a case study of visiting an external audit company to explore the usefulness of machine learning algorithms for improving the quality of an audit work. Annual data of 777 firms from 14 different sectors are collected. The Particle Swarm Optimization (PSO) algorithm is used as a feature selection method. Ten different state-of-the-art classification models are compared in terms of their accuracy, error rate, sensitivity, specificity, F measures, Mathew's Correlation Coefficient (MCC), Type-I error, Type-II error, and Area Under the Curve (AUC) using Multi-Criteria Decision-Making methods like Simple Additive Weighting (SAW) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results of Bayes Net and J48 demonstrate an accuracy of 93% for suspicious firm classification. With the appearance of tremendous growth of financial fraud cases, machine learning will play a big part in improving the quality of an audit field work in the future.

关键词： CLASSIFICATION algorithms MACHINE learning computer algorithms PARTICLE swarm optimization ERROR rates

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Sensor-driven, human-in-the-loop lighting control

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LIGHTING RESEARCH & TECHNOLOGY 2018年第5期50卷 660-680页

作者： Tan, F. Caicedo, D. Pandharipande, A. Zuniga, M. Philips Lighting Res High Tech Campus NL-5656 AE Eindhoven Netherlands Delft Univ Technol Delft Netherlands

Smart indoor lighting systems use occupancy and light sensor data to adapt artificial lighting in accordance with changing occupancy and daylight conditions. Such systems can be designed to reduce lighting energy consumption significantly. However, these systems cannot account for individual user preferences at the workplace in real time. We propose a sensor-driven, human-in-the-loop lighting system that incorporates user feedback in addition to occupancy and light sensor inputs. In this system, luminaires transmit unique visible light communication identifier signals. By processing the image captured by a smartphone camera, a user obtains two pieces of information: visible light communication identifiers of luminaires in the vicinity and average image pixel value. A control algorithm is designed that incorporates these user inputs along with occupancy and light sensor inputs to determine the dimming levels of the luminaires to achieve illumination levels acceptable to users. We compare the performance of the proposed lighting control system with a sensor-driven lighting control system in an office test bed.

关键词： solar radiation Human lighting controls LIGHT SENSOR User preferences Sensor Data artificial light lighting equipment user feedback Vehicle Occupancy computer algorithms Sensors illumination level lighting control system LIGHTING SYSTEMS

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Subjective Evaluation: A Comparison of Several Statistical Techniques

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APPLIED ARTIFICIAL INTELLIGENCE 2018年第1期32卷 85-95页

作者： Mittal, Himani Devi, M. Syamala Panjab Univ Dept Comp Sci & Applicat Chandigarh India

Evaluation of subjective examinations using computerized tools has been a topic of research for more than four decades. Several statistical and mathematical techniques have been proposed by various researchers. In this research work, the several methods proposed earlier like Latent Semantic Analysis (LSA), Generalized Latent Semantic Analysis (GLSA), Bilingual Evaluation Understudy (BLEU), and Maximum Entropy (MaxEnt) are compared on common input data. The techniques are implemented using Java programming language, MatLab, and other open source tools. Experiments have been conducted and developed prototypes are tested using a database of 4500 answers with approximately 50 questions of computer science. Comparison of these techniques on a common database is not available in the literature as far as the authors' review is concerned. The database used for testing is collected by conducting tests of students of graduate level in the field of computer science. The pros and cons of each technique on the basis of experiments are discussed in the paper.

关键词： SEMANTICS MAXIMUM entropy method JAVA (computer program language) PARTICLE swarm optimization computer algorithms

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Bounds on the minimax rate for estimating a prior over a VC class from independent learning tasks

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THEORETICAL computer SCIENCE 2018年 716卷 124-140页

作者： Yang, Liu Hanneke, Steve Carbonell, Jaime Yale Univ New Haven CT 06520 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA

We study the optimal rates of convergence for estimating a prior distribution over a VC class from a sequence of independent data sets respectively labeled by independent target functions sampled from the prior. We specifically derive upper and lower bounds on the optimal rates under a smoothness condition on the correct prior, with the number of samples per data set equal the VC dimension. These results have implications for the improvements achievable via transfer learning. We additionally extend this setting to real valued function, where we establish consistency of an estimator for the prior, and discuss an additional application to a preference elicitation problem in algorithmic economics. (C) 2017 Published by Elsevier B.V.

关键词： BOUNDS (Mathematics) MACHINE learning SEQUENCES (Mathematics) computer algorithms FUNCTIONS (Mathematics)

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algorithms for monitoring real-time properties

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ACTA INFORMATICA 2018年第4期55卷 309-338页

作者： Basin, David Klaedtke, Felix Zalinescu, Eugen Swiss Fed Inst Technol Inst Informat Secur Dept Comp Sci Zurich Switzerland NEC Europe Ltd Heidelberg Germany Tech Univ Munich Inst Informat Munich Germany

Real-time logics are popular specification languages for reasoning about systems intended to meet timing constraints. Numerous formalisms have been proposed with different underlying time models that can be characterized along two dimensions: dense versus discrete time and point-based versus interval-based. We present monitoring algorithms for the past-only fragment of metric temporal logics that differ along these two dimensions, analyze their complexity, and compare them on a class of formulas for which the point-based and the interval-based settings coincide. Our comparison reveals similarities and differences between the monitoring algorithms and highlights key concepts underlying our and prior monitoring algorithms. For example, point-based algorithms are conceptually simpler and more efficient than interval-based ones as they are invoked only at time points occurring in the monitored trace and their reasoning is limited to just those time points.

关键词： computer algorithms REAL-time computing REASONING (Logic) DISCRETE-time systems METRIC system

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