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检索条件"主题词=algorithm design and analysis"

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How blind can a blind fuzzy logic controller design be? analysis of cell state space based incremental best estimate directed search algorithm

How blind can a blind fuzzy logic controller design be? Anal...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： F. Song S.M. Smith Ocean Engineering Department Florida Atlantic University Dania FL USA

Reports a discovery that has never been reported before on the global performance of Tskagi-Sugeno (TS) type fuzzy logic controller (FLC) with random rule output function parameters. We found that under certain cell resolutions, the chance that the performance of a random controller is comparable with that of a man made controller is very high. A cell state space based TS type FLC automatic parameter optimization algorithm named incremental best estimate directed search (IBEDS) is presented with a detailed analysis of its capability of designing a FLC totally without any expert knowledge. Initially, IBEDS was suggested to start with an initial training set sampled from the control surface of a FLC with poor performance. Then another random FLC is trained in an iterative procedure by a least mean square (LMS) algorithm. In each iteration, the global and local performance of the trained FLC is evaluated, the training set is then updated based on the evaluation. The initial value of the training set may need expert knowledge. However, with the discovery on random FLCs, IBEDS is found to be able to bootstrap with an empty training set, and still reach an optimal solution within a reasonable number of iterations. The mechanism behind this phenomenon is analyzed in detail with 2D and 4D inverted pendulums. It is shown that with IBEDS, a totally blind FLC design without any expert knowledge can be done efficiently.

关键词： Fuzzy logic State-space methods Automatic control Optimal control algorithm design and analysis State estimation Speech analysis Performance analysis Oceans design optimization

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Future airborne collision avoidance — design principles, analysis plan and algorithm development

Future airborne collision avoidance — Design principles, an...

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Conference on Digital Avionics Systems (DASC)

作者： Roxaneh Chamlou Center for Advanced Aviation System Development MITRE Corporation McLean VA USA

As the aviation community moves toward the Next Generation Air Transportation System (NextGen), the current Traffic Alert and Collision Avoidance System (TCAS II) may become inadequate. This paper presents a novel approach to detection and resolution of air traffic conflicts in a 3-dimensional (3-D) airspace between two aircraft. The inputs to the detection algorithm are the current 3-D position and speed vector of both aircraft and a cylindrical minimum safety protection zone (PZ). For collision avoidance systems (CASs), the size of the configurable PZ can be assigned values that the Federal Aviation Administration (FAA) considers as a near mid air collision (NMAC 1 ) incident. When available, additional inputs, such as measurement uncertainties and intruder type (e.g., manned/unmanned), can be used to alter the default protection zone. The conflict detection takes into account the 3-D encounter (e.g., closure rate, miss distance, relative converging maneuver). The resolution algorithm initially computes a set of six resolution advisories (RAs) and associated resolution alert times that ensure no violation of the protection zone. Two solutions are computed for each of the three dimensions: ground track, ground speed, and vertical speed. The initial resolution advisories (RAs) solutions take into account ownship capability (i.e., max climb/descent rate, max turn rate, max speed/stall speed) and ownship pilot response delay (e.g., autonomous vs. manual RA execution). These six solutions are subsequently down-selected in two steps: first, based on the encounter geometry, a single implicitly coordinated, independent solution is selected for each of the three dimensions; then, based on ownship preferences and operational considerations a final RA solution is computed.

关键词： algorithm design and analysis Collision avoidance Protection Aircraft Air traffic control FAA Air transportation Detection algorithms Air safety Measurement uncertainty

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design and Performance analysis of an Improved Decoding algorithm for Turbo Codes

Design and Performance Analysis of an Improved Decoding Algo...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Zhenchuan Zhang Nana Jiang

This paper considers the SOVA and the Log-MAP for decoding Turbo codes. It primarily studies the differences between the two algorithms and discusses the suitability of combining both algorithms. The frames are first applied with SOVA with error detection. After a fixed maximum number of SOVA, the erroneous frames are continued with Log-MAP. The results show that the algorithm could reduce the complexity and keep the performance.

关键词： Complexity theory Decoding Iterative decoding algorithm design and analysis Signal to noise ratio Measurement Bit error rate

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design, analysis and modeling of an optimized fuzzy control algorithm for synchronous multiphase DC-DC converters in automotive applications

Design, analysis and modeling of an optimized fuzzy control ...

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Annual IEEE Conference on Power Electronics Specialists (PESC)

作者： L. J. Álvarez A. Nogueiras A. Lago J. Doval J. Marcos L. E. Eguizábal C. Martinez-Peñalver Department of Electronic Technology University of Vigo Vigo Spain

The design of synchronous multiphase DC-DC converters allows improvements of the characteristics of high power systems. The automotive industry forecast that future power demands inside a car will oscillate between 2.5 kW and 3.5kW, keeping a dual system of 42/14V batteries. In this paper, an optimized fuzzy control algorithm has been developed to control a synchronous multiphase converter of 1.6kW for dual voltage architecture in future vehicle applications. The proposed optimized fuzzy control algorithm is analyzed and simulated together with a non lineal model of the power stage, by means of Matlab and Simulink. This simulation platform also integrates tools for a future implementation of the controller embedded in a FPGA. The main contribution of this work is the implementation of an optimized fuzzy algorithm of control that can be used independently of the number of phases of the converter, making it suitable to be applied in a wide range of high power applications. This algorithm has been designed having in mind the goal of developing a real-time FPGA-based controller, so the complexity has been reduced to a minimum. Hybrid vehicles, aerospace and naval industry power systems can also benefit from the development of this algorithm.

关键词： Mathematical model Integrated circuit modeling Field programmable gate arrays Load modeling Fuzzy control Pulse width modulation algorithm design and analysis

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Control algorithm analysis and Firmware design in Tunnel Microwave Heating System

Control Algorithm Analysis and Firmware Design in Tunnel Mic...

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International Conference on Computational and Information Sciences (ICCIS)

作者： Tianyu Fu Xi Wang Guohui Yang School of Astronautics Harbin Institute of Technology Harbin China School of Electronics and Information Engineering Harbin Institute of Technology Harbin China

Applied in tunnel microwave heating system, single input single output fuzzy-self-setting PID algorithm has many restrictions because such system has close coupled property. Thus fuzzy decoupling algorithm is raised. Such decoupling algorithm can decrease or even eliminate the coupling of the variables in this system. The stability of the system can also be improved. Discussion over the developing of control firmware and upper-monitor interface is also included on the basis of the existing hardware platform. The efficiency and effectiveness of the designed control algorithm is mainly considered in this paper.

关键词： algorithm design and analysis Microwave theory and techniques Electromagnetic heating Materials Magnetic tunneling Temperature sensors

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design and analysis of an active predictive algorithm in wireless multicast networks

Design and analysis of an active predictive algorithm in wir...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Naixue Xiong Laurence T. Yang Yi Pan Athanasios V. Vasilakos Jing He Dept of Comp. Scie. Georgia State Univ. US Dept of Comp. Scie. St. Francis Xavier Univ. CA Dept of Comp. and Telec. Engi. Univ. of Western Macedonia Crete GR

With the ever-increasing wireless multicast data applications recently, considerable efforts have focused on the large scale heterogeneous wireless multicast, especially those with large propagation delays, which means the feedbacks arriving at the source node are somewhat outdated and harmful to the control actions. To attack the above problem, this paper describes a novel, autonomous, and predictive wireless multicast flow control scheme, the so-called proportional, integrative plus neural network (PINN) predictive technique, which includes two components: the PI flow controller located at the wireless multicast source has explicit rate algorithm to regulate the transmission rate; and the neural network part located at the middle branch node predicts the available buffer occupancy for those longer delay receivers. The ultimate sending rate of the multicast source is the expected receiving rates computed by PI controller based on the consolidated feedback information, and it can be accommodated by its participating branches. This network-assisted property is different from the existing control schemes in that neural network controller can predict the buffer occupancy caused by those long delay receivers, which probably cause irresponsiveness of a wireless multicast flow. This active scheme makes the control more responsive to the network status, therefore, the rate adaptation can be in a timely manner for the sender to react to network congestion quick. We analyze the theoretical aspects of the proposed algorithm, show how the control mechanism can be used to design a controller to support wireless multi-rate multicast transmission based on feedback of explicit rates.

关键词： algorithm design and analysis Multicast algorithms Prediction algorithms Communication system control Feedback Neural networks Multicast protocols Propagation delay Neurofeedback Proportional control

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analysis of the Behaviour of Genetic algorithm Applied in Optimization of Electrical System design for Offshore Wind Farms

Analysis of the Behaviour of Genetic Algorithm Applied in Op...

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Annual Conference of Industrial Electronics Society

作者： Menghua Zhao Zhe Chen Jesper Hjerrild Institute of Energy Technology University of Aalborg Aalborg Denmark Elsam Engineering A S Fredericia Denmark

Genetic algorithms (GA) have been applied in many fields to solve multivariable, non linear optimization problems. There are lots of different GA techniques which are used to improve the performance of the algorithm. In this paper, the implementation of GA in optimization of electrical system design for offshore wind farms is proposed and several different GA techniques are investigated. The main problems of GA implementation in this field are addressed and the suitable GA techniques are proposed. The GA method is applied to a real offshore wind farm and the results are evaluated. It is concluded that the genetic algorithm is suitable for the optimization of offshore wind farm layout design as long as proper GA techniques are employed

关键词： algorithm design and analysis Genetic algorithms design optimization System analysis and design Wind farms Wind turbines Linear predictive coding Cost function Power generation economics Environmental economics

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design and theoretical analysis of a vector field segmentation algorithm

Design and theoretical analysis of a vector field segmentati...

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1993 IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： I.B. Kerfoot Y. Bresler Beckman Institute University of Illinois Urbana-Champaign Urbana IL USA

Several objective functions for vector field segmentation are presented. Y. G. Leclerc's (1989) MRF (Markov random field) model is extended by the addition of information-theoretic penalties for regions and distinct means. Standard methods of signal detection and estimation are used to develop a theoretical performance analysis which quantitatively predicts the performance at realistic noise levels. The theoretical performance analysis demonstrates the need for qualitative change from the scalar case; separate penalties for boundary structure and region existence are very beneficial for high d (dimensional). The theoretical analysis also indicates the merit of an objective function before an optimization algorithm has been developed. It also serves as a benchmark for optimization algorithm performance. Theoretical and experimental results agree fairly well.< >

关键词： algorithm design and analysis Performance analysis Signal detection Additive white noise Pixel Equations Standards development Noise level Gaussian noise Image segmentation

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algorithm for UWB Pulse design and its Performance analysis

Algorithm for UWB Pulse Design and its Performance Analysis

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IEEE International Conference on Integration Technology (ICIT)

作者： Rui Chen Xiaoqing Zeng Decun Dong Department of Information and Communication Engineering University of Tongji Shanghai China Department of Traffica Information Engineering University of Tongji Shanghai China

Ultra wide band (UWB) is an ideal candidate for achieving high data rates over short distances with low cost and low power consumption. In this paper, we propose a simple pulse design method that uses the iterative combination of five Rayleigh derivatives to meet the FCC UWB indoor spectral mask requirements. The performance comparison between the combination pulse and the second derivative Gaussian pulse is also presented by means of the computer simulation. The simulation results show that the power spectrum density (PSD) of the combination pulse approaches the FCC spectral mask obviously, and the performances of UWB system using combination pulse are better than that using the second derivative Gaussian pulse.

关键词： algorithm design and analysis Performance analysis FCC Iterative algorithms Ultra wideband technology Costs Energy consumption design methodology Iterative methods Computer simulation

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design and analysis of a New GPS algorithm

Design and Analysis of a New GPS Algorithm

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IEEE International Conference on Distributed Computing Systems

作者： Wei Li Deng Li Shuhui Yang Zhiwei Xu Wei Zhao University of Macau Rensselaer Polytechnic Institute Purdue University Calumet Institute of Computing Technology CAS

ISBN: (纸本)9781424472611

In this paper, we propose and analyze a new GPS positioning algorithm. Our algorithm uses the direct linearization technique to reduce the computation time overhead. We invoke the general least squares method in order to achieve optimality in the situation when the trilateration system of equations becomes over-determined. We systematically evaluate our new algorithms and show that they indeed take much less computation time than the traditional GPS method while maintaining reasonable accuracy.

关键词： algorithm design and analysis Global Positioning System Iterative methods Clocks Satellites Closed-form solution Computers Content addressable storage Nonlinear equations Iterative algorithms

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