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Virtual Roundtable: User Perspectives

IEEE design & TEST OF COMPUTERS 2009年第4期26卷 26-32页

作者： Coussy, Philippe Takach, Andres Trambadia, Ashish Clave, Gael Hasegawa, Hiroyasu Chawla, Nitin Pai, Suhas Koch, Gernot Texas Instruments Inc Methodol Grp Wireless Terminals Business Unit Dallas TX 75265 USA STMicroelectronics Geneva Switzerland

Several high-level-synthesis users, whose experience spans the range of commercially available HLS tools, were recently invited to a virtual roundtable to share their HLS experiences. The various questions provide context for how they have used HLS, the benefits they have derived from it, and areas for improvement that they would like to see in the future.

关键词： High Level Synthesis Field Programmable Gate Arrays Application Specific Integrated Circuits algorithm design and analysis Graphics Timing National Electric Code Hardware System Testing Cryptography

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Stable Near-Optimal Control of Nonlinear Switched Discrete-Time Systems: An Optimistic Planning-Based Approach

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2022年第5期67卷 2298-2313页

作者： Granzotto, Mathieu Postoyan, Romain Busoniu, Lucian Nesic, Dragan Daafouz, Jamal Univ Lorraine CNRS Ctr Res Automat Nancy F-54000 Nancy France Tech Univ Cluj Napoca Dept Automat Cluj Napoca 400114 Romania Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3010 Australia

Originating in the artificial intelligence literature, optimistic planning (OP) is an algorithm that generates near-optimal control inputs for generic nonlinear discrete-time systems whose input set is finite. This technique is, therefore, relevant for the near-optimal control of nonlinear switched systems for which the switching signal is the control, and no continuous input is present. However, OP exhibits several limitations, which prevent its desired application in a standard control engineering context, as it requires, for instance, that the stage cost takes values in [0.1], an unnatural prerequisite, and that the cost function is discounted. In this article, we modify OP to overcome these limitations, and we call the new algorithm OPmin. We then analyze OPmin under general stabilizability and detectability assumptions on the system and the stage cost. New near-optimality and performance guarantees for OPmin are derived, which have major advantages compared to those originally given for OP. We also prove that a system whose inputs are generated by OPmin in a receding-horizon fashion exhibits stability properties. As a result, OPmin provides a new tool for the near-optimal, stable control of nonlinear switched discrete-time systems for generic cost functions.

关键词： algorithm design and analysis asymptotic stability cost function control system synthesis dynamic programming Lyapunov methods nonlinear systems optimal control predictive control stability analysis switched systems

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DETECTION FILTER design - SPECTRAL THEORY AND algorithmS

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1987年第7期32卷 593-603页

作者： WHITE, JE SPEYER, JL SANDIA NATL LABS TECH STAFFALBUQUERQUENM 87185

A new formulation of the detection filter problem is generated by assignment of the closed-loop eigenstructure under certain constraints. Detection filters, which are actually a specific class of observers, fix the output error direction of the system so that it can be associated with a particular failure mode and its known design failure direction. The derivation of detection filters from an eigensystem assignment approach permits a very transparent theory. The detection filter gains and closed-loop eigenvectors are obtained from a set of simultaneous equations. Necessary and sufficient conditions for the solution of these algebraic equations are determined which produce a complete theory for detection filters.

关键词： Filtering theory algorithm design and analysis Nonlinear filters Equations Redundancy Control systems Feedback Eigenvalues and eigenfunctions Sufficient conditions

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BLOCK TIME AND FREQUENCY-DOMAIN MODIFIED COVARIANCE algorithmS FOR SPECTRAL-analysis

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1993年第11期41卷 3138-3152页

作者： SPANIAS, AS Telecommunications Research Center Department of Electrical Engineering Arizona State University Tempe AZ USA

Block modified covariance algorithms are proposed for autoregressive (AR) parametric spectral estimation. First, we develop the block modified covariance algorithm (BMCA) which can be implemented either in the time or in the frequency domain-with the latter being more efficient in high-order cases. A block algorithm is also developed for the energy weighted combined forward and backward prediction. This algorithm is called energy weighted BMCA (EWBMCA) and its performance is analogous to that of the weighted covariance method proposed by Nikias and Scott. Time-varying convergence factors, designed to minimize the error energy from one iteration to the next, are given for both algorithms. In addition, three updating schemes are presented, namely block-by-block, sample-by-sample, and sample-by-sample with time-scale separation. The performance of the proposed algorithms is examined with stationary and nonstationary narrowband and broadband processes, and also with sinusoids in noise. Lastly, we discuss the computational complexity of the proposed algorithms and we give performance comparisons to existing modified covariance algorithms.

关键词： Frequency domain analysis Spectral analysis Frequency estimation Minimization methods algorithm design and analysis Narrowband Computational complexity Forward contracts Yield estimation Parameter estimation

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Accurate analysis of losses in waveguide structures by compact two-dimensional FDTD method combined with autoregressive signal analysis

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IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES 1996年第6期44卷 970-975页

作者： Fujii, M Kobayashi, S Sumitomo Metal Industries Limited Amagasaki Japan

An efficient two-dimensional finite-difference time-domain (2-D FDTD) method combined with an autoregressive (AR) signal analysis has been proposed thr analyzing the propagation properties of microwave guiding structures, The method is especially suitable for analyzing lossy transmission lines;and in contrast with previous approaches, it is based on an algorithm of a real domain only, The algorithm is verified by comparing the numerical results with exact solutions for dielectric loaded rectangular waveguides. The conductor losses in a variety of microstrip lines and coplanar waveguides have been accurately estimated by solving the electromagnetic fields in the conductors directly.

关键词： Electromagnetic waveguides Finite difference methods Time domain analysis Signal analysis Conductors Two dimensional displays Microwave propagation Microwave theory and techniques algorithm design and analysis Propagation losses

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A New Safety Distance Calculation for Rear-End Collision Avoidance

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2021年第3期22卷 1742-1747页

作者： Ro, Jin Woo Roop, Partha S. Malik, Avinash Univ Auckland Dept Elect & Comp Engn Auckland 1142 New Zealand

Rear-end collision avoidance relies on mathematical models to calculate the safety distance. Vehicle deceleration is a key parameter for the accuracy of the models. Current models, however, assume a constant deceleration during braking, which is unrealistic. This assumption results in large over-approximation / under-approximation. In this paper, we rectify this limitation by proposing a new model that accounts for realistic vehicle deceleration during braking. Simulation results show that our approach guarantees safety. Moreover, traffic flow is improved by 21.6% compared to the widely adopted the Berkeley algorithm.

关键词： Safety Mathematical model Acceleration Collision avoidance Vehicle dynamics Delays Optimization Intelligent transportation systems autonomous vehicles vehicle safety algorithm design and analysis

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Gateway Clustering Framework for the Integration of Heterogeneous Aviation Information Networks

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2012年第3期48卷 2282-2301页

作者： Liu, Hui Zhang, Jun Cheng, L. L. Beihang Univ Dept Elect & Informat Engn Beijing Peoples R China City Univ Hong Kong Hong Kong Hong Kong Peoples R China

The integration of heterogeneous aviation information networks (HAIN) has recently attracted significant attention among researchers. An important topic requiring discussion is the method by which timely and accurate information may be acquired to ensure aviation safety and facilitate risk evaluation. This paper proposes a distributed gateway clustering framework, whereby gateways collaborate and cooperate with each other to achieve load balancing and cooperative communication for the integration of HAIN. Unlike traditional approaches, in the framework, a cooperative architecture is presented for HAIN interoperability and load preference is taken into account to cater to the specialized nature of HAIN through describing load matrix. Two approaches are proposed for load allocation: 1) the load preference allocation (LPA) algorithm at the subnet level in which each subnet is controlled by the same gateway with predictive load assignment by incorporating the historical load information of each subnet;and 2) the gateway cooperative load allocation (GCLA) algorithm at the gateway level aimed to balance the distribution of traffic load among gateways globally. The related parameters of operating efficiency and processing time are used to analyze and evaluate the performance of the proposed load allocation algorithms of the integrated HAIN system. Simulation results are presented to show the effectiveness of the proposed framework.

关键词： Logic gates Resource management Data communication Routing algorithm design and analysis Clustering algorithms

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A Stochastic Approximation Framework for a Class of Randomized Optimization algorithms

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2012年第1期57卷 165-178页

作者： Hu, Jiaqiao Hu, Ping Chang, Hyeong Soo SUNY Stony Brook Dept Appl Math & Stat Stony Brook NY 11794 USA Sogang Univ Dept Comp Sci & Engn Seoul 121742 South Korea

We study a class of random sampling-based algorithms for solving general non-differentiable optimization problems. These are iterative approaches that are based on sampling from and updating an underlying distribution function over the set of feasible solutions. In particular, we propose a novel and systematic framework to investigate the convergence and asymptotic convergence rates of these algorithms by exploiting their connections to the well-known stochastic approximation ( SA) method. Such an SA framework unifies our understanding of these randomized algorithms and provides new insight into their design and implementation issues. Our preliminary numerical experiments indicate that new implementations of these algorithms based on the proposed framework may lead to improved performance over existing procedures.

关键词： algorithm design and analysis optimization stochastic approximation

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OPTIMAL-design OF MULTIOUTPUT SAMPLING SCHEDULES - SOFTWARE AND APPLICATIONS TO ENDOCRINE METABOLIC AND PHARMACOKINETIC MODELS

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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 1985年第4期32卷 249-256页

作者： COBELLI, C RUGGERI, A DISTEFANO, JJ LANDAW, EM CNR LADSEBI-35100 PADUAITALY UNIV CALIF LOS ANGELES DEPT COMP SCIBIOCYBERNET LABLOS ANGELESCA 90024 UNIV CALIF LOS ANGELES DEPT MEDLOS ANGELESCA 90024 UNIV CALIF LOS ANGELES SCH MEDDEPT BIOMATHLOS ANGELESCA 90024 UNIV CALIF LOS ANGELES SCH MEDDEPT PEDIATLOS ANGELESCA 90024

This paper describes a program for computing optimal sampling schedules for multiinput-multioutput experiments designed for parameter estimation of physiological systems models. Theory of the algorithm and details of its implementation are given. Practical applications of the software to models of glucose-insulin regulation, ketone body, and insulin kinetics are presented. Results document the potentiality of the software for designing experiments, and show that optimal design can considerably reduce the number of samples withdrawn from a patient in in vivo clinical studies.

关键词： Sampling methods Application software Endocrine system Parameter estimation Processor scheduling algorithm design and analysis Vectors Testing In vivo Blood

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ERROR MODELS FOR STABLE HYBRID ADAPTIVE SYSTEMS

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1985年第4期30卷 339-347页

作者： NARENDRA, KS KHALIFA, IH ANNASWAMY, AM YALE UNIV DEPT ELECT ENGNNEW HAVENCT 06520

This paper presents several stable adaptive algorithms for the control of hybrid and discrete systems in which the control parameters are adjusted at rates slower than those at which the systems operate. Continuous algorithms of an integral type, recently suggested in the literature [5] are also shown to belong to this class. From a practical standpoint, the infrequent adjustment of the control parameters makes for more robust adaptive control while from a theoretical point of view, the algorithms are attractive since they provide a unified framework for the design of continuous, hybrid, and discrete adaptive systems. Simulation results are included to indicate the type of responses that can be expected using the different algorithms.

关键词： Adaptive systems Adaptive control Control systems Programmable control Adaptive algorithm Robust control algorithm design and analysis Vectors Microprocessors Signal processing

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