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17 篇 会议

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Proceedings - 14th International Symposium on Pervasive systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative computing, ISCC 2017

Proceedings - 14th International Symposium on Pervasive Syst...

引用

14th International Symposium on Pervasive systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative computing, ISCC 2017

ISBN: (纸本)9781538608401

The proceedings contain 176 papers. The topics discussed include: lessons learned in design and delivery of an introductory styling MOOC;machine learning approach to task ranking;coercion resistance in a practical secret voting scheme for large scale elections;an evaluation method of data valuation based on analytic hierarchy process;more on the inverse problem of Steiner Wiener index;probabilistic frequent itemsets mining based on expectation bound over uncertain database;on detecting partially occluded faces with pose variations;grid-based indexing and search algorithms for large-scale and high-dimensional data;image segmentation based on exponential kernel function;a personnel identification method based on the regional division of a classroom image;accurate camera calibration using iteratively optimized algorithm of control points;and a novel fish image retrieval method based on saliency spatial pyramid.

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On the moment-based robust MPC formulations

On the moment-based robust MPC formulations

引用

computing and systems Technology division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting

作者： Saltik, Muhammed B. Özkan, Leyla Ludlage, Jobert H.A. Weiland, Siep Van Den Hof, Paul M.J.

ISBN: (纸本)9781510834323

The control technique commonly used in process industry for constrained multivariable optimal control is the model predictive control (MPC) [1]. The performance of these controllers depends to a large extent on the quality/validity of process models ([2]). In the mean time, more and more rigorous process models that cover wider operating conditions have become available. A valid hypothesis is then the use of this type of models for MPC. The practice, on the other hand, is conflicting since the model based estimation and control algorithms require relatively simple explicit models for efficient and robust calculations in their algorithms. This practical drawback has led to research directions in the area of model simplifications ([3] and references therein) or multiple model MPC approaches ([4]). In addition to the plant-model mismatch as a result of inaccurate identification of model parameters and its dynamics, such simplifications introduce uncertain behavior between the observations induced from the true process and the model predictions. In order to limit the effect of uncertainty on the closed loop performance, robust control techniques are required. In the last couple of decades, different MPC algorithms have been introduced to achieve the desired control objectives while reducing the effect of uncertainty ([5]). We can broadly classify these algorithms into two classes;i) the worst case based techniques (WC-MPC) ([6]), including min-max based, tube based or input-to-state stability based arguments, where under any effect of predefined maximum level of uncertainty, the process variables should not violate the specifications;or ii) chance based MPC algorithms ([7]), including quantile based or scenario based formulations, where the specifications are softened, meaning that the constraints are allowed to be violated, but the chance of being off the specification is kept small, thus violations are rare events. Both of these formulations have their own drawbacks.

关键词： Model predictive control

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computing and control division colloquium on identification of uncertain systems

Computing and Control Division Colloquium on Identification ...

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computing and control division colloquium on identification of uncertain systems

The proceedings contains 11 papers. Topics discussed include control systems, system design, time domain methods, system stability, algorithms, state estimation, robustness and system identification.

关键词： control systems

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IEE computing and control division colloquium on Electronic Techniques for Road Pricing and Tolling

IEE Computing and Control Division Colloquium on Electronic ...

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IEE computing and control division colloquium on Electronic Techniques for Road Pricing and Tolling

The proceeding contains 7 papers on the IEE colloquium on the electronic techniques for road pricing and tolling. Topics discussed include the systems specification for United Kingdom (UK) motorway tolling, electronic toll collection, requirements specifications, smart cards in road pricing and tolling systems, image capture and identification of vehicle registration plates, motorway technology testing, Tollstar's Toll Collection System, and infrared technology for tolling applications.

关键词： Transportation charges

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On-line adaptive control of the hot rolling of steel sections

On-line adaptive control of the hot rolling of steel section...

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IEE computing and control division colloquium on Adaptive controllers in Practice - Part One

作者： Stephens, Richard I. Manning, Mark P. Dides, Alex G. CEGELEC Projects Ltd Rugby United Kingdom

A multi-loop control scheme for a state-of-the-art section mill is described. The basis of the system is the set-up calculation which uses complex, non-linear models of the rolling process to predict the optimum settings for the mill stands. To obtain maximum performance from the system, adaptive control loops are included on three levels: piece-by-piece, pass-by-pass and in-pass. These loops use various techniques for identification of piece state and model parameters, including square root information filtering and extended Kalman filtering. The paper describes some of the problems of applying these methods to an online system and shows how these problems are addressed in practice.

关键词： Adaptive control systems

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computing and control division colloquium on Software Support and Cad Techniques for FPGAS (Field Programmable Gate Arrays)

Computing and Control Division Colloquium on Software Suppor...

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computing and control division colloquium on identification of uncertain systems

The proceedings contains 9 papers. Topics discussed include integrated circuit design, computer applications, algorithms,logic design, complexity, hardware description languages, optimization, high level synthesis and... 详细信息

关键词： Cellular arrays

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Robust identification of uncertain systems

Robust identification of uncertain systems

引用

computing and control division colloquium on identification of uncertain systems

作者： Makila, P.M. Lulea Univ of Technology Lulea Sweden

In this paper an overview is given of some of the current research activities on robust identification of uncertain systems. This field deals with identification of nominal models, estimation of uncertainty models, and validation of uncertainty models for the purpose of robust control design. Special attention is given to issues of black-box estimation of uncertainty models.

关键词： identification (control systems)

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computing reduced-order models in 1-identification

Computing reduced-order models in 1-identification

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computing and control division colloquium on identification of uncertain systems

作者： Wall, Derek S. Veres, Sandor M. Univ of Birmingham Birmingham United Kingdom

The paper describes the development and application of an 1 identification method for linear-time invariant single input single output (SISO) systems. Numerical methods applied to produce a reduced order model and an ... 详细信息

关键词： identification (control systems)

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Using MATLAB toolbox 'GBT' in identification and control

Using MATLAB toolbox 'GBT' in identification and control

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computing and control division colloquium on identification of uncertain systems

作者： Graves, C.H. Veres, S.M. Univ of Birmingham Birmingham United Kingdom

The geometric bounding toolbox is a set of routines in MATLABTM to perform operations on polytopes, polyhedra and ellipsoids. The package has the efficiency and ease of use of its routines that seems to make these complex operations simple. The paper is an overview of the use of MATLAB toolbox GBT for system identification and control.

关键词： identification (control systems)

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Worst case identification in the time domain

Worst case identification in the time domain

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computing and control division colloquium on identification of uncertain systems

作者： Partington, Jonathan R. Univ of Leeds Leeds United Kingdom

The idea of worst case identification is to obtain approximations to an unknown system from a set of noisy data either transfer function measurements or input/output measurements. The paper discusses choices of inputs for a robust, convergent algorithm, the disadvantage of least squares fits in that worst case errors will be as bad as a convergence rate achieved with stable inputs.

关键词： identification (control systems)

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