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检索条件"主题词=Computer algorithms"

共 3273 条记录，以下是3091-3100 订阅

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An Experimental Investigation of Occupancy-Based Energy-Efficient Control of Commercial Building Indoor Climate

An Experimental Investigation of Occupancy-Based Energy-Effi...

引用

IEEE Annual Conference on Decision and Control

作者： Jonathan Brooks Siddharth Goyal Rahul Subramany Yashen Lin Timothy Middelkoop Laura Arpan Luca Carloni Prabir Barooah MAE Dept. at the U. of Florida PNNL Lutron Elec. Inc ISSE Dept. at the U. of Missouri College of Comm. and Info. at Florida State U CS Dept. at Columbia U.

ISBN: (纸本)9781467360890

We present results from a week-long experimental evaluation of a scalable control algorithm for a commercial building heating, ventilation, and air-conditioning (HVAC) system. The experiments showed that the controller resulted in 37% energy savings without sacrificing indoor climate. In contrast to prior work that reports energy savings without a careful measure of the effect on indoor climate, we verify that the controller achieves the energy efficiency improvements without any adverse effect on the indoor climate compared to the building's baseline controller. This is established from measurements of a host of environmental variables and analysis of before-after occupant survey results. We present a complete system to retrofit existing buildings including the control algorithm and the supporting execution platform which includes the deployment of a wireless sensor network. Results show that there is a large variation in energy savings from zone to zone, which indicates that estimating energy savings potential of novel HVAC control systems is not trivial even from experiments-something that prior work with uniformly positive messages did not emphasize.

关键词： energy saving computer algorithms Energy efficiency commercial buildings Controllers INDOOR CLIMATE Climate control systems original construction

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Comparative Analysis of Transport Layer Congestion Control algorithms

Comparative Analysis of Transport Layer Congestion Control A...

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International Conference on Cutting-edge Technologies in Engineering (ICon-CuTE)

作者： Neelesh Mishra Lal Pratap Verma Mahesh Kumar Shri Ramswaroop Memorial University India Moradabad Institute of Technology Moradabad India Jaypee University of Engineering and Technology Guna India

ISBN: (纸本)9781728100012

Internet applications are increasing network traffic exponentially these days due to remarkable growth of the Internet. To handle the huge traffic on Transport Layer one provides the most trusted, Connection oriented and end-to-end packet delivery protocol which is Transmission Control Protocol (TCP). There are many problems available in congestion control algorithms i.e. transfer size of the packet, initialization of Congestion Window, cross traffic, congestion along the path, size of the router buffer, intra protocol and inter protocol fairness. There are many variants of the protocol available to control the congestion. This paper presents a comparative analysis of commonly used TCP flavors. We present analysis of TCP protocol named, TCP Reno, CUBIC-TCP, FAST-FIT, TCP New Reno and followed by experiment results.

关键词： Internet telecommunication congestion control telecommunication network routing telecommunication traffic transport protocols telecommunication traffic telecommunication congestion control telecommunication network routing transport protocols Internets Transmission control protocol computer algorithms transport layer Tritolyl Phosphates tactical command post

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Distributed Integral Action: Stability Analysis and Frequency Control of Power Systems

Distributed Integral Action: Stability Analysis and Frequenc...

引用

IEEE Annual Conference on Decision and Control

作者： Martin Andreasson Henrik Sandberg Dimos V. Dimarogonas Karl H. Johansson ACCESS Linnaeus Center KTH Royal Institute of Technology

ISBN: (纸本)9781467320658

This paper analyzes distributed proportional-integral controllers. We prove that integral action can be successfully applied to consensus algorithms, where attenuation of static disturbances is achieved. These control algorithms are applied to decentralized frequency control of electrical power systems. We show that the proposed algorithm can attenuate step disturbances of power loads. We provide simulations of the proposed control algorithm on the IEEE 30 bus test system that demonstrate its efficiency.

关键词： Frequency control power systems computer algorithms PI control Test systems integration Stability analysis Distribute Attenuation

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New Results on Robust State Estimation in Spacecraft Attitude Control

New Results on Robust State Estimation in Spacecraft Attitud...

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IEEE Conference on Decision and Control

作者： Naeem Khan Sajjad Fekri Rihan Ahmad Dawei Gu Electrical Engineering Dept. UET Peshawar Pakistan Automotive Mechatronics Centre School of Engineering Cranfield University UK Department of Engineering University of Leicester UK

ISBN: (纸本)9781612848006

In this paper, an integrated attitude estimation and control algorithm is addressed and implemented to a spacecraft dynamical model subject to observation (sensor) losses. Rigid body equations of motion for modeling and control of spacecraft model is obtained from both kinematic and dynamic equations. An earlier version of the so-called closed-loop estimation scheme presented in [9] is extended and implemented to the spacecraft model subject to observation losses. Compensated observation signals are reconstructed based on linear prediction subsystem and utilized at measurement update steps. Simulation results verify that the proposed robust estimation algorithm applied to the rigid body spacecraft model significantly outperforms existing open-loop filtering algorithms and could attack many other practical applications with intermittent output measurement losses.

关键词： spacecraft models State estimation Equations of motion space vehicle attitude control computer algorithms kinematics spacecraft control measurement update

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Local Voting Protocol in Decentralized Load Balancing Problem with Switched Topology, Noise, and Delays

Local Voting Protocol in Decentralized Load Balancing Proble...

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IEEE Annual Conference on Decision and Control

作者： Natalia Amelina Oleg Granichin Aleksandra Kornivetc Faculty of Mathematics and Mechanics St. Petersburg State University 198504 Universitetskii pr. 28 St. Petersburg Russia

ISBN: (纸本)9781467357159;9781467357159

In this paper the applicability of the local voting protocol with nonvanishing step-size for decentralized stochastic network load balancing is studied under nonstationary problem formulation. The network system was considered to have a switched topology, and the control strategy uses noisy and delayed measurements. Nonvanishing (for example, constant) step-size allows to achieve the better convergence rate and copes with time-varying loads and productivities of agents (nodes). Conditions for achieving a suboptimal level of loading agents are established, and an estimate of the appropriate level of suboptimality is given depending on the step-size of the control algorithm, the structure of the averaged network and the statistical properties of noise and delays in measurements. Obtained theoretical results are illustrated by simulations of simultaneously processing of 10~6 tasks by 1024 agents with 2048 links. It is examined that the performance of the adaptive multiagent strategy with redistribution of tasks among "connected" neighbors is significantly better than the performance of the strategy without redistribution.

关键词： step size Load balancing Statistical property Vote control strategy Decentralized Problem Formulation computer algorithms Religious Missions topology

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An extended proportional-integral control algorithm for distributed average tracking and its applications in Euler-Lagrange systems

An extended proportional-integral control algorithm for dist...

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American Control Conference

作者： Fei Chen Gang Feng Lu Liu Wei Ren Department of Automation Xiamen University Xiamen Fujian 361005 China Department of Mechanical and Biomedical Engineering City University of Hong Kong Kowloon Hong Kong Department of Electrical Engineering University of California Riverside CA 92521 USA

Under an extended proportional-integral (PI) control scheme, distributed average tracking (DAT) control algorithms are derived for networked Euler-Lagrange systems for two different kinds of reference signals: referen... 详细信息

ISBN: (纸本)9781479932757

关键词： Multi-agent systems cooperative control distributed average tracking Euler-Lagrange systems coordinated control Reference signals Multi-agent systems PI control computer algorithms Euler-Lagrange equation

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Energy-Delay Aware Restricted Access Window with Novel Retransmission for IEEE 802.11ah Networks

Energy-Delay Aware Restricted Access Window with Novel Retra...

引用

IEEE Global Communications Conference

作者： Yanru Wang Kok Keong Chai Yue Chen John Schormans Jonathan Loo Sch. of Electron. Eng. & Comput. Sci. Queen Mary Univ. of London London UK Dept. of Comput. Commun. Middlesex Univ. London UK

ISBN: (纸本)9781509013296

Restricted Access Window (RAW) has been introduced to IEEE 802.11ah MAC layer to decrease collision probability. However, the inappropriate application of RAW duration for diverse groups of devices would increase uplink energy consumption, delay and lower down the data rate. In this paper, we study a RAW optimization problem with a novel retransmission scheme that utilizes the next empty slot for retransmission in the uplink. The problem is formulated based on overall energy efficiency and delay of each RAW by applying probability theory and Markov Chain. To jointly optimize energy efficiency and delay, an energy-delay aware window control algorithm is proposed to adapt RAW size by estimating the number of time slots and internal slot duration in one RAW for different groups. The optimal solution is derived by applying Gradient Descent approach. Simulation results show that our proposed algorithm improves up to 113.3% energy efficiency and reduces 53.4% delay compared to the existing RAW.

关键词： wireless LAN access protocols delays gradient methods Markov processes radio links MAC protocol Radio links gradient methods Markov chain wireless local area network (WLAN) Energy efficiency RETRANSMISSION delay Energy sources restricted access windows windows window computer algorithms collision probability

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A Framework to Approximate the Delay Distribution for IEEE 802.11 DCF Protocol

A Framework to Approximate the Delay Distribution for IEEE 8...

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IEEE Malaysia International Conference on Communications

作者： Yaw-Wen Kuo Wei-Fu Lu Tung-Lin Tsai Department of Electrical Engineering National Chi Nun University Graduate Institute of Communication Engineering National Chi Nun University

ISBN: (纸本)9781424455317;9781424455324

This paper presents a framework to approximate the distribution of the frame delay in the IEEE 802.11 WLAN. Two schemes are also provided to demonstrate the trade-off between complexity and accuracy. Based on the simulation results, scheme 1 can approximate the delay distribution well and scheme 2 is very fast. For the WLAN networks with delay QoS requirement, this paper provides an efficient method to develop admission control algorithm or tune system parameters.

关键词： IEEE 802.11 MAC QoS Delay distribution delay distribution Quality of service system parameter Approximate Frameworks computer algorithms

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A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar

A Model-Free Algorithm to Safely Approach the Handling Limit...

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International Conference on Connected Vehicles and Expo (ICCVE)

作者： Alexander Wischnewski Johannes Betz Boris Lohmann Chair of Automatic Control Technical University of Munich Munich Germany Chair of Automotive Technology Technical University of Munich Munich Germany

ISBN: (纸本)9781728101439

One of the key aspects in racing is the ability of the driver to find the handling limits of the vehicle to minimize the resulting lap time. Many approaches for raceline optimization assume the tire-road friction coefficient to be known. However, this neglects the fact that the ability of the system to realize such a race trajectory depends on complex interdependencies between the online trajectory planner, the control systems and the non-modelled uncertainties. In general, a high quality control system can approach the physical limit more reliable, as it applies less corrective actions. We present a model-free learning method to find the minimum achievable lap-time for a given controller using online adaption of a scale factor for the maximum longitudinal and lateral accelerations in the online trajectory planner. In contrast to existing concepts, our approach can be applied as an extension to already available planning and control algorithms instead of replacing them. We demonstrate reliable and safe operation for different vehicle setups in simulation and demonstrate that the algorithm works successfully on a full-size racecar.

关键词： Autonomous racing Learning control Model-Free learning control Scale factor Transverse acceleration control systems Limit trajectory Safe handling computer algorithms vehicle coefficient of friction algorithms Drivers

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Particle Swarm Optimization of an Online Trained Repetitive Neurocontroller for the Sine-wave Inverter

Particle Swarm Optimization of an Online Trained Repetitive ...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Bartlomiej Ufnalski Lech M. Grzesiak Institute of Control and Industrial Electronics Warsaw University of Technology

ISBN: (纸本)9781479902255

The paper presents an evolutionary optimization of a novel neurocontroller for the single phase sine-wave inverter. The controller is trained in online mode. The adaptation algorithm takes into account repetitiveness of the process to be controlled. The cost function evaluates performance of the controller over the whole period of the reference signal and the weights are updated only once per period of this signal. A model-free concept is implemented and hence no prior identification of the plant is needed. The controller employs the backpropagation algorithm for updating its weights in order to adapt to changing load conditions. The controller is nonlinear and the tuning procedure involves determining a good set of values for at least three parameters: a number of neurons, an error gain and an output gain. In our recent publication devoted to the development of the control algorithm we relied on guessing and checking at the tuning stage. Here the particle swarm optimizer (PSO) is used to find the optimal set of values for these parameters. The gradientless search algorithm enables a designer to work with any user-defined performance index that reflects desired system behavior. The effectiveness of the proposed approach is illustrated with the help of numerical experiments. The controller tuned by the PSO is capable to maintain a high-quality output voltage waveform in the presence of the periodic disturbance caused by nonlinear loads.

关键词： Controllers computer algorithms Particle swarm optimization Backpropagation algorithms Reference signals Inventors Cost functions parametric subharmonic oscillator periodic disturbance tuning Guess nonlinear load system behavior set value performance indicators

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