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International Conference on Methods and Models in Automation and Robotics

作者： Aleksandra Kawala-Janik Michal Podpora Arkadiusz Gardecki Wojciech Czuczwara Jerzy Baranowski Waldemar Bauer Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology ul. Proszkowska 76 bud. 1 45-756 Opole Poland AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering al. Mickiewicza 30 30-059 Krakow Poland

ISBN: (纸本)9781479987023

Modern, based on biomedical signals interfaces have become recently very complex, however the complexity does not always lead to increased functionality or usability. In particular, when it comes to handicapped users, the currently available solutions are far from satisfactory. In this paper an innovative approach for biomedical signals based interfaced with the implementation of an inexpensive gaming headset Emotiv EPOC was presented. The main goal was to design, and develop an intuitive and user-friendly interface based on implementation of various biomedical signals such as EEG or EMG. The project was primarily intended for handicapped users as a replacement for traditional interfaces such as keyboard or mouse, however its potential use was extended. The proposed system differs from the already existing interfaces mainly because of its versatility to work with various biomedical signals, thus enabling a single interface to be controlled with different devices. Initial investigation has proven that Emotiv EPOC headset could be applied as an inexpensive, easily available on the open market tool for Human-computer Interaction (HCI) systems for the gaming purpose.

关键词： Information Interfaces Human-computer Interaction (HCI) User Interfaces electroencephalography (EEG) Brain-computer Interfaces (BCI) non-integer filter games control gaming

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Urea-SCR Process control for Diesel Engine Using Feedforward-Feedback Nonlinear Method

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IFAC-PapersOnLine 2015年第8期48卷 367-372页

作者： Jinghua Zhao Zhigang Chen Yunfeng Hu Hong Chen State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin 130025 China Department of Control Science and Engineering Jilin University Changchun Jilin 130025 China Computer College JiLin Normal University Siping Jilin 136000 China

Urea selective catalytic reduction (urea-SCR) process control is very important for exhaust gas aftertreatment in diesel engines. A control system tracking ammonia coverage ratio is designed to achieve high NO x conversion efficiency and low ammonia slip for urea-SCR process in this paper. The control system consists of a nonlinear feedforward controller based on flatness and a PI feedback controller to deal with the uncertainties and disturbance. Furthermore, a tuning method of controller parameters is presented based on randomized algorithms. Finally, the simulation results are given to demonstrate the effectiveness of the proposed control scheme.

关键词： urea-SCR ammonia distribution nonlinear control flatness feedforward feedback

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A Necessary Optimality Condition for Constrained Optimal control of Hybrid Systems

A Necessary Optimality Condition for Constrained Optimal Con...

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IEEE Annual Conference on Decision and control

作者： Andreas B. Hempel Paul J. Goulart John Lygeros Automatic Control Laboratory ETH Zurich Physikstrasse 3 8092 Zurich Switzerland Department of Engineering Science University of Oxford Parks Road Oxford OX1 3PJ UK

ISBN: (纸本)9781479978878

Using the fact that continuous piecewise affine systems can be written as special inverse optimization models, we present necessary optimality conditions for constrained optimal control problems for hybrid dynamical systems. The modeling approach is based on the fact that piecewise affine functions can be written as the difference of two convex functions and has been described in previous publications. The inverse optimization model resulting from this approach can be replaced by its Karush-Kuhn-Tucker conditions to yield a linear complementarity model. An optimal control problem for this model class is an instance of a mathematical program with complementarity constraints for which classical Karush-Kuhn-Tucker optimality conditions may not hold. Exploiting the regularity properties of the inverse optimization model, we show why for the class of control problems under consideration this is not the case and the classical optimality conditions also characterize optimal input trajectories.

关键词： hybrid systems optimality Optimal control Convex function Inverse Complementarity Affine In-law Piecewise

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Distributed interior-point method for loosely coupled problems 19

Distributed interior-point method for loosely coupled proble...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Pakazad, Sina Khoshfetrat Hansson, Anders Andersen, Martin S. Division of Automatic Control Department of Electrical Engineering Linköping University Sweden Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark

ISBN: (纸本)9783902823625

In this paper, we put forth distributed algorithms for solving loosely coupled unconstrained and constrained optimization problems. Such problems are usually solved using algorithms that are based on a combination of decomposition and first order methods. These algorithms are commonly very slow and require many iterations to converge. In order to alleviate this issue, we propose algorithms that combine the Newton and interior-point methods with proximal splitting methods for solving such problems. Particularly, the algorithm for solving unconstrained loosely coupled problems, is based on Newton's method and utilizes proximal splitting to distribute the computations for calculating the Newton step at each iteration. A combination of this algorithm and the interior-point method is then used to introduce a distributed algorithm for solving constrained loosely coupled problems. We also provide guidelines on how to implement the proposed methods efficiently, and briefly discuss the properties of the resulting solutions. © IFAC.

关键词： Problem solving

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Stochastic Inverse optimal control of unknown linear networked control system in the presence of random delays and packet losses

Stochastic Inverse optimal control of unknown linear network...

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American control Conference

作者： Santiago Elvira-Ceja Edgar N. Sanchez S. Jagannathan Automatic Control Laboratory CINVESTAV IPN Unidad Guadalajara Av. del Bosque 1145 Col. El Bajio 45019 Zapopan Jalisco Mexico Department of Electrical and Computer Engineering Missouri University of Science and Technology 1870 Miner Cicle Rolla MO 65409

ISBN: (纸本)9781479917730

In this paper, the inverse optimal control approach is applied to stabilization in probability of unknown linear networked control system (NCS) in presence of random delays and packet losses. The proposed control scheme is based on Kalman filter parameter estimation to solve the infinite horizon regulator problem for NCS with stochastic system matrices, and avoids to solve the associated stochastic Riccati equation (SRE);additionally a cost functional is minimized. The stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function.

关键词： Packet loss Networked control systems Stochastic Liapunov function control systems Optimal control Inverse Unknown

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Speed Profile Optimization for Train Operation Based on Ant Colony Algorithm

Speed Profile Optimization for Train Operation Based on Ant ...

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2015 IEEE Advanced Information Technology,Electronic and Automation control Conference(IAEAC 2015)

作者： Liqian Fan Fang Cao Bworen Ke Tao Tang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Department of Computer Science and Information Engineering Chung-Chou Institute of Technology

ISBN: (纸本)9781479919819

automatic train operation(ATO) system generally consists of the generation of recommended speed profile and the speed tracking *** determines the tracked trajectory and the energy consumption of trains during the ***,the optimization of recommended speed profile and the tracking strategy are regarded as two important means to achieve energyefficient train operation between the successive *** considering the ATO tracking strategy,an optimization method of the recommended speed profile is proposed in this *** on the approximate calculation,a discrete combination optimization model is formulated and a new MAX-MIN ant system(MMAS) is taken as the core *** the fixed speed tracking strategy,this method achieves the recommended speed profile with optimized energy consumption and a perfect running punctuality along the actual tracked *** switching times of operation during the cruising phase is reduced by integrating the drivers' experience,which also reduces the energy consumption of train running between *** case results based on Beijing Yizhuang Metro Line in China verify the effectiveness of the proposed method,which has a good performance on energy-efficient train operation.

关键词： Recommended Speed Profile Ant Colony Algorithm ATO Tracking Strategy

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Recursive Identification of Chain Dynamics in Hidden Markov Models Using Non-Negative Matrix Factorization

Recursive Identification of Chain Dynamics in Hidden Markov ...

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IEEE Annual Conference on Decision and control

作者： Robert Mattila Vikram Krishnamurthy Bo Wahlberg Department of Automatic Control and ACCESS School of Electrical Engineering KTH Royal Institute of Technology SE-100 44 Stockholm Sweden Department of Electrical and Computer Engineering University of British Columbia BC V6T 1Z4 Vancouver Canada

ISBN: (纸本)9781479978878

Hidden Markov Models (HMMs) and associated Markov modulated time series are widely used for estimation and control in e.g. robotics, econometrics and bioinformatics. In this paper, we modify and extend a recently proposed approach in the machine learning literature that uses the method of moments and a Non-Negative Matrix Factorization (NNMF) to estimate the parameters of an HMM. In general, the method aims to solve a constrained non-convex optimization problem. In this paper, it is shown that if the observation probabilities of the HMM are known, then estimating the transition probabilities reduces to a convex optimization problem. Three recursive algorithms are proposed for estimating the transition probabilities of the underlying Markov chain, one of which employs a generalization of the Pythagorean trigonometric identity to recast the problem into a non-constrained optimization problem. Numerical examples are presented to illustrate how these algorithms can track slowly time-varying transition probabilities.

关键词： TRANSITION PROBABILITIES matrix decomposition Nonnegative METHOD OF MOMENTS Trigonometric identity Bioinformatics

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An examination of impedance matching in receiving side of wireless power transfer system operating at 13.56MHz

An examination of impedance matching in receiving side of wi...

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International Future Energy Electronics Conference (IFEEC)

作者： Masakazu Sato Nguyen Kien Trung Kan Akatsu Department of Electrical Engineering and computer science Shibaura Institute of Technology Tokyo Japan Department of Function Control System Shibaura Institute of Technology Tokyo Japan Department of Electrical Engineering Shibaura Institute of Technology Tokyo Japan

ISBN: (纸本)9781479976584

This paper proposes the impedance matching circuit which keeps input impedance constant by using boost converter and resonant rectifier. In the simulation, the results confirmed characteristic of this circuit and achieved high power factor such as almost 1.0. The proposed circuit is able to reduce total harmonics distortion (THD) by 13%. Experimental result shows that input power factor is almost 1.0. The THD reduces 71.3% compared with simulation result of diode rectifier.

关键词： Rectifiers Impedance Reactive power Impedance matching Capacitors RLC circuits Harmonic analysis

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Inverse parametric convex programming problems via convex liftings 19

Inverse parametric convex programming problems via convex li...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Nguyen, N.A. Olaru, S. Rodriguez-Ayerbe, P. Hovd, M. Necoara, I. Automatic Control Department Gif-sur-Yvette France Department of Engineering Cybernetics Norwegian University of Science and Technologies Trondheim Norway Politehnica University of Bucharest Automatic Control and Systems Engineering Department Bucharest Romania

ISBN: (纸本)9783902823625

The present paper introduces a procedure to recover an inverse parametric linear or quadratic programming problem from a given polyhedral partition over which a continuous piecewise affine function is defined. The solution to the resulting parametric linear problem is exactly the initial piecewise affine function over the given original parameter space partition. We provide sufficient conditions for the existence of solutions for such inverse problems. Furthermore, the constructive procedure proposed here requires at most one supplementary variable in the vector of optimization arguments. The principle of this method builds upon an inverse map to the orthogonal projection, known as a convex lifting. Finally, we show that the theoretical results has a practical interest in Model Predictive control (MPC) design. It is shown that any linear Model Predictive controller can be obtained through a reformulated MPC problem with control horizon equal to two prediction steps. © IFAC.

关键词： Inverse problems

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Opportunities for Computational Techniques for Multi-Omics Integrated Personalized Medicine

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Tsinghua science and Technology 2014年第6期19卷 545-558页

作者： Yuan Zhang Yue Cheng Kebin Jia Aidong Zhang Department of Electronic Information and Control Engineering Beijing University of Technology Department of Computer Science and Engineering State University of New York at BuffaloBuffalo NY 14260-2500 USA

Personalized medicine is defined as ＂a model of healthcare that is predictive, personalized, preventive,and participator＂ and has very broad content. With the rapid development of high-throughput technologies, an explosive accumulation of biological information is collected from multiple layers of biological processes, including genomics, transcriptomics, proteomics, metabonomics, and interactomics（omics）. Implementing integrative analysis of these multiple omics data is the best way of deriving systematical and comprehensive views of living organisms, achieving better understanding of disease mechanisms, and finding operable personalized health treatments. With the help of computational methods, research in the field of biology and biomedicine has gained tremendous benefits over the past few decades. In the new era of personalized medicine, we will rely more on the assistance of computational analysis. In this paper, we briefly review the generation of multiple omics and their basic characteristics. And then the challenges and opportunities for computational analysis are discussed and some state-of-art analysis methods that were recently proposed by peers for integrative analysis of multiple omics data are reviewed. We foresee that further integrated omics data platform and computational tools would help to translate the biological knowledge to clinical usage and accelerate development of personalized medicine.

关键词： personalized medicine translational bioinformatics multi-omics integration

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