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检索条件"主题词=Computer algorithms"

共 3273 条记录，以下是2801-2810 订阅

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Optimal Guidance Method for UCAV in Close Free Air Combat

Optimal Guidance Method for UCAV in Close Free Air Combat

引用

IEEE International Symposium on Parallel and Distributed Processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)

作者： Yaofei Chen Xiaoping Sun Dejian Liu Shufa Li Shenyang Aerospace University Shenyang China

ISBN: (纸本)9781728152103

Aiming at the problem of Unmanned Combat Air Vehicle (UCAV) air combat decision-making and maneuver optimization, an UCAV optimal decision method based on dynamic Bayesian network (DBN) is proposed. Firstly, The DBN maneuver recognition model is established based on the causal relationship between flight characteristic parameters and maneuver actions, and the target flight path is predicted according to the acquired attitude information and trajectory prediction model. Secondly, combined with the comprehensive analysis of other information, the air combat occupation decision is established, and the decision result is the functional index of maneuver optimization to be adopted by UCAV. Finally, used optimal control algorithm to calculate the optimal boot quantity iteratively. The simulation results prove the convergence and real-time performance of the control algorithm, it can meet the requirements of engineering application.

关键词： aerospace control autonomous aerial vehicles belief networks decision making military aircraft optimal control optimisation unmanned combat aerial vehicles Bayesian networks spacecraft control military aircraft drone honey bees Optimal control computer algorithms Fighter decision making Res judicata

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Predictive Repetitive Control Based on Frequency Decomposition

Predictive Repetitive Control Based on Frequency Decompositi...

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American Control Conference

作者： Liuping Wang Shan Chai E. Rogers School of Electrical and Computer Engineering RMIT University Victoria 3000 Australia School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK

ISBN: (纸本)9781424474264

This paper develops a predictive repetitive control algorithm based on frequency decomposition. In particular, the periodic reference signal is first represented using a frequency sampling filter model and then the coefficients of the model are analyzed to determine its dominant frequency components. Using the internal model control principle, the dominant frequency components are embedded in model used to obtain the predictive repetitive control algorithm such that the periodic reference is followed with zero steady-state error. The design framework here is based on predictive control using Laguerre functions and hence plant operational constraints are naturally incorporated in the design and its implementation.

关键词： Periodic set-point signal periodic disturbance predictive control constrained control optimization Predictive control periodic disturbance frequency decomposition computer algorithms dominant frequency Repetitive Laguerre functions Reference signals Predictive

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Optimization of Driving Based on Currently Measured Data

Optimization of Driving Based on Currently Measured Data

引用

International IEEE Conference on Intelligent Transportation Systems

作者： Ivan Nagy Evgenia Suzdaleva Tereza Mlynarova Faculty of Transportation Sciences Czech Technical University Department of Adaptive Systems Institute of Information Theory and Automation of the ASCR

ISBN: (纸本)9781479929153

The paper deals with fuel consumption optimization under condition of keeping the recommended speed. The presented approach is based on data currently measured on a driven vehicle and on external observations. Using adaptive optimal control algorithms under Bayesian methodology, a compromise between fuel consumption minimization and keeping the recommended speed is reached. Research is performed in collaboration with Skoda Auto ().

关键词： Automobile driving Fuel consumption motivation adaptive optimal control observational data vehicle computer algorithms

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D2D Resource Allocation and Power Control algorithms Based on Graph Coloring in 5G IoT

D2D Resource Allocation and Power Control Algorithms Based o...

引用

IEEE International Conference on Computing, Communications and IoT Applications

作者： Yuhong XUE Jiamin YANG Zhutian YANG Wei YANG Harbin Institute of Technology Nanjing Electronic Equipment Institute

ISBN: (数字)9781728119731

ISBN: (纸本)9781728119748

Device-to-Device (D2D) is a promising 5g Internet of Things communication scheme. Green Internet of Things (IOT) with low energy consumption is an important research topic at present. The most important problem is how to allocate resources and control power. Based on the traditional algorithm based on graph theory coloring principle, this paper proposes a resource allocation algorithm which combines power control and node priority calculation, and optimizes the communication index as a whole. The simulation results show that the proposed algorithm can improve the performance of delay, fairness and throughput while maintaining low power consumption.

关键词： D2D IoT Power control Graph coloring Resource allocation colored graph Power control Resource utilization management of resources Device-to-device communication Internet of things computer algorithms low energy consumption algorithms Allocation Algorithm

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Two Layer Iterative Multi-Objective Compatible Control Algorithm

Two Layer Iterative Multi-Objective Compatible Control Algor...

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Proceedings of the 46th IEEE Conference on Decision and Control, Pages 2301-2758

作者： Lihong Xu Qingsong Hu Erik D. Goodman Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA Department of Control Science and Engineering University of Tongji China University of Tongji Shanghai China

ISBN: (纸本)9781424414970;1424414970

A two-layer multi-objective compatible control algorithm is proposed for a class of conflicting multi-objective control problems. The first layer is devoted to obtaining a user's desired controlled objectives region, assured to be not only achievable but also Pareto-optimal. The second layer is devoted to achieve the objectives subject to system constraints from the controlled objectives region in the first layer by an iterative genetic optimization algorithm. Simulation illustrates that the two-layer multi-objective compatible control algorithm is effective for conflicting multi-objective control problem.

关键词： computer algorithms multi-objective control TWO-LAYER Iterative

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Multi-Disciplinary Integrated Design Automation Tool for Automotive Cyber-Physical Systems 14

Multi-Disciplinary Integrated Design Automation Tool for Aut...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Arquimedes Canedo Mohammad Abdullah Al Faruque Jan H. Richter Siemens Corporation Corporate Technology Princeton University of California Irvine Irvine Siemens AG I IA ATS Nuremberg Germany

ISBN: (纸本)9783981537024

This paper presents our multi-year experience in the development of a Functional Modeling Compiler (FMC), a new model-based design tool for the development of multi-disciplinary automotive cyber-physical systems. We show how system-level simulation models suitable for design-space exploration of complex architectures can be synthesized from functional specifications to test and validate the interactions between ECUs, control algorithms, and the multi-physics.

关键词： Functional specifications Space Exploration automotive engineering design tools overall design Automation FUNCTIONAL MODELS Fixed Mobile Convergence system level computer algorithms

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A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model

A tutorial on the synthesis and validation of a closed-loop ...

引用

American Control Conference

作者： Bart M Doekemeijer Jan-Willem Van Wingerden Paul A Fleming Faculty of Materials Mechanical and Maritime Engineering (3mE) Delft Center for Systems and Control (DCSC) Delft University of Technology The Netherlands National Renewable Energy Laboratory (NREL) Golden Colorado United States of America

ISBN: (纸本)9781538679012;9781538679265

In wind farms, wake interaction leads to losses in power capture and accelerated structural degradation when compared to freestanding turbines. One method to reduce wake losses is by misaligning the rotor with the incoming flow using its yaw actuator, thereby laterally deflecting the wake away from downstream turbines. However, this demands an accurate and computationally tractable model of the wind farm dynamics. This problem calls for a closed-loop solution. This tutorial paper fills the scientific gap by demonstrating the full closed-loop controller synthesis cycle using a steady-state surrogate model. Furthermore, a novel, computationally efficient and modular communication interface is presented that enables researchers to straight-forwardly test their control algorithms in large-eddy simulations. High-fidelity simulations of a 9-turbine farm show a power production increase of up to 11% using the proposed closed-loop controller compared to traditional, greedy wind farm operation.

关键词： Wind farms wake current interference Interfacing and Communications closed-loop controller incoming flow CLOSED LOOP synthesis computer algorithms turbines wake loss Wake Island

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Stability Overlay for Adaptive Control Laws Applied to Linear Time-Invariant Systems

Stability Overlay for Adaptive Control Laws Applied to Linea...

引用

2009 American Control Conference (ACC 2009)

作者： Paulo Rosa Jeff S. Shamma Carlos Silvestre Michael Athans Institute for Systems and Robotics - Instituto Superior Tecnico Av. Rovisco Pais 1 1049-001 Lisboa Portugal Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta Georgia United States of America

ISBN: (纸本)9781424445233

Two broad classes of adaptive control algorithms can be found in the literature: i) stability based, with minimal assumptions on the plant;ii) performance based, with relatively more stringent assumptions on the plant. This paper proposes a solution, referred to as Stability Overlay (SO), to enable stability guarantees in performance based algorithms. In our methodology, the performance based adaptive control laws are only responsible for designating the controller that should be selected;the SO decides whether this controller should or not be used, based upon its most recent history of utilization. We argue that using two algorithms in parallel - the SO for stability purposes and any other suitable for the performance requirements - leads to higher levels of performance while guaranteeing stability of the adaptive closed-loop for bounded (but unknown) disturbances. The SO methodology is applicable to both time-invariant and time-varying, nonlinear and linear systems. However, due to space limitations, we only consider linear time-invariant (LTI) plants in this paper. The theory is illustrated with an example.

关键词： control law Level of Performance adaptive control time-invariant computer algorithms Time invariant systems Overlay Controllers based

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An Enhanced Hybrid Solar System and Energy Storage with Shaped DC-Link Voltage

An Enhanced Hybrid Solar System and Energy Storage with Shap...

引用

IEEE International Conference on Power and Energy Systems (ICPES)

作者： Hossein Dehghani Tafti Glen G. Farivar Aditi Narang Christopher D. Townsend Georgios Konstantinou Josep Pou

ISBN: (数字)9781728126586

ISBN: (纸本)9781728126593

The hybrid combination of photovoltaic (PV) panels and energy storage systems (ESS) has become popular in PV power plants (PVPPs), in order to comply with new grid codes and standards and provide grid support functionalities. A shaping strategy of the dc-link voltage of the PVPP, the same as the voltage reference of the grid-connected inverter, is proposed in this paper. The main contribution of the proposed control algorithm is to simultaneously achieve several control aspects, i.e., a) shaping the dc-link voltage same as the required voltage reference and reduces the inverter switching, which reduces the switching losses, b) smoothing the injected power to the grid thanks to the ESS, and c) Improving the harmonic performance of the grid-connected inverter that reduces the size of the grid-connection filter. The performance of the proposed control algorithm is verified on a hybrid PV-ESS simulation platform under various operational conditions and results are compared with the conventional solutions.

关键词： Active power control dc-link voltage shaping energy storage system flexible power point tracking photovoltaic systems Photovoltaic systems voltage reference computer algorithms energy storage link voltage Energy storage systems DC link Power control Solar collectors Inventors hybrid solar systems ENGAGEMENT SIMULATION SYSTEMS Cache Memory System VOLTAGE

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QoE-aware Congestion Control Algorithm for Conversational Services

QoE-aware Congestion Control Algorithm for Conversational Se...

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IEEE International Conference on Communications

作者： Oussama Habachi Yusuo Hu Mihaela van der Schaar Yezekael Hayel Feng Wu LIA University of Avignon Microsoft Research Asia Department of E.E. UCLA

ISBN: (数字)9781457720536

ISBN: (纸本)9781457720529

Nowadays, multimedia applications and specifically streaming systems over wireless networks use the TCP transport protocol. Indeed, TCP can deal with practical issues such as firewalls and also deploys built-in retransmissions and congestion control mechanisms. We propose in this paper a Quality-centric Mean Opinion Score (MOS) based congestion control that determines an optimal congestion window updating policy for multimedia transmission. Unlike the standard congestion control algorithms, our approach defines a new Additive Increase Multiplicative Decrease (AIMD) algorithm given the multimedia application and the transmission characteristics. In order to get the optimal congestion policy in practice, the sender requires complete statistical knowledge of both multimedia traffic and the network environment, which may not be available in wireless systems. Hence, we propose in this paper, a Partially Observable Markov Decision Process (POMDP) framework in order to determine an optimal congestion control policy which maximizes the long term expected Quality of Experience (QoE) of the receiver. Moreover, the computation of an optimal policy is usually time/process consuming and as wireless devices are capacity-limited, we consider optimal solutions based on temporal difference (TD-λ) online learning algorithms. Finally, we do some practical experiments of our algorithms on a Microsoft Lync testbed. We observe that our algorithm improve significantly the QoE compared to standard AIMD congestion control mechanism.

关键词： computer algorithms MULTIMEDIA APPLICATION Transmission Characteristics multimedia transmission control strategy firewalls (computers) control mechanism wireless device optimal strategy CARRIER SYSTEM algorithms optimal solution Wireless networks Tritolyl Phosphates tactical command post

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