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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Bradley Ebinger Nidhal Bouaynaya Petia Georgieva Lyudmila Mihaylova Department of Electrical and Computer Engineering Rowan University USA Department of Electronics University of Aveiro Portugal Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

Localization of the brain neural generators that create Electroencephalographs (EEGs) has been an important problem in clinical, research and technological applications related to the brain. The active regions in the brain are modeled as equivalent current dipoles, and the positions and moments of these dipoles or brain sources are estimated. So far, the brain dipoles are assumed to be fixed or time-invariant. However, recent neurological studies are showing that brain sources are not static but vary (in terms of location and moment) depending on various internal and external stimuli. This paper presents a shift in the current paradigm of brain source localization by considering dynamic sources in the brain. We formulate the brain source estimation problem from EEG measurements as a (nonlinear) state-space model. We use the Particle Filter (PF), essentially a sequential Monte Carlo method, to track the trajectory of the moving dipoles in the brain. We further address the “curse of dimensionality,” issue of the PF by taking advantage of the structure of the EEG state-space model, and marginalizing out the linearly evolving states. A Kalman Filter is used to optimally estimate the linear elements, whereas the PF is used to track only the non-linear components. This technique reduces the dimension of the problem; thus exponentially reducing the computational cost. Our simulation results show that, where the PF fails, the Marginalized PF is able to successfully track two dipoles in the brain with only 500 particles.

关键词： Current measurement Back Kalman filters Biomedical imaging Brain modeling

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Onboard System Identification for Improved Flight control of UAS

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IFAC-PapersOnLine 2015年第14期48卷 368-375页

作者： S. Tantrairatn S.M. Veres Department of Automatic Control and Systems Engineering University of Shefield Shefield S1 3JD UK

A new technique is proposed to select and estimate the significant aerodynamic parameters of micro unmanned aerial systems from ight data to improve the dynamical qualities of an indirect adaptive ight control system. The aerodynamic variables are estimated in the frequency domain using the angle of attack and sideslip air-ow angles which in turn are estimated using an extended Kalman filter. Parameter estimation and selection procedures of significant aerodynamic parameters are based on linear regression model structures with forward orthogonal least square (OLS) and error reduction ratio (ERR) methods. When combined, the methods can be applied to create an indirect adaptive ight control system. This new approach is verified by comparing the results with those obtained from conventional sensor data, including air ow angle measurements. Performance comparison of the system identification methods show that the proposed technique can obtain the same quality of ight performance as if the airow measurements were available. The new methods are demonstrated in simulation of a benchmark ight performance experiment on an Aerosonde UAV.

关键词： Aircraft dynamical modelling air ow angles aerodynamic coeficients angle of attack slideslip angle measurements recursive estimation forward orthogonal least square in frequency domain

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A survey of guaranteeing feasibility and stability in MPC during target changes

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IFAC-PapersOnLine 2015年第8期48卷 813-818页

作者： S.S. Dughman J.A. Rossiter Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK

This paper gives a concise review of work on ensuring feasibility and stability within linear MPC during target changes. A summary of similarities and weaknesses of the various proposals in the literature is presented... 详细信息

关键词： Model predictive control Tracking control Feasibility Constraints

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A composite guidance law based on the nonlinear disturbance observer-based control for Mars pinpoint landing 34

A composite guidance law based on the nonlinear disturbance ...

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34th Chinese control Conference, CCC 2015

作者： Yabin, Zhang Lei, Guo Haibin, Sun Wenhua, Chen Sen, Wang School of Instrument Science and Opto-Electronics Engineering Beihang University Beijing China National Key Laboratory of Aerospace Intelligent Control Technology Beijing Aerospace Automatic Control Institute Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China Department of Aeronautical and Automotive Engineering Loughborough University Loughborough United Kingdom

ISBN: (纸本)9789881563897

The landing accuracy of a Mars lander is severely affected by a wide range of disturbances at the powered descent stage. To address this problem, a composite guidance law is proposed in this paper. The composite guidance law is developed by the combination of disturbance observer-based control (DOBC) technique and multiple sliding surfaces guidance (MSSG) theory. Compared with other guidance laws, the proposed method achieves promising disturbance rejection performance and high landing accuracy in both position and velocity, reducing the conservatism to a certain extent. The proposed guidance law does not require any off-line trajectory generation and its global stability is verified by using Lyapunov direct method. Simulation results show that the proposed guidance law is superior to the conventional guidance laws in terms of both disturbance rejection and landing accuracy. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： disturbance observer-based control Mars pinpoint landing multiple disturbances multiple sliding surfaces guidance powered descent

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A Chance Constrained Programming Approach for Multi-product Multi-stage Integrated Production Planning under Internal and External Uncertainties

A Chance Constrained Programming Approach for Multi-product ...

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IEEE International Conference on Automation Science and engineering

作者： Shan Lu Hongye Su Charlotta Johnsson Hanshan Shao Lei Xie Institute of Cyber-Systems and Control Department of Control Science and Engineering Zhejiang University Department of Automatic Control Lund University

ISBN: (纸本)9781467381840

In industrial practice, making an efficient production planning for a multi-product multi-stage manufacturing network implies that various aspects of the uncertain environment have to be taken into account. In this paper, we address the uncertain conditions originating from internal and external factors including production efficiency, penalty cost of backorders and safety stock deviations, raw material supply and market demand. A novel chance constrained programming model with stochastic objectives and constraints is developed for the multi-product multi-stage integrated production planning problem incorporating the uncertainties. Then the proposed stochastic model is converted into an equivalent crisp mixed integer linear programming (MILP) problem by treating the stochastic objectives and constraints using a direct and an indirect approach. An industrial case is used for implementing and validating the proposed approach. The result indicates that the approach is flexible and that the trade-off between minimizing the cost and controlling the risk is efficient.

关键词： Production Raw materials Uncertainty IP networks Stochastic processes Programming Safety

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On the price of being selfish in large populations of plug-in electric vehicles

On the price of being selfish in large populations of plug-i...

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IEEE Annual Conference on Decision and control

作者： Marina Gonzalez Vaya Sergio Grammatico Goran Andersson John Lygeros Power Systems Laboratory ETH Zurich Switzerland Control Systems group Department of Electrical Engineering Eindhoven University of Technology Automatic Control Laboratory ETH Zurich Switzerland

ISBN: (纸本)9781479978878

We consider the problem of optimally scheduling the flexible electricity demand of a fleet of plug-in electric vehicles (PEVs). More specifically, we analyze the solutions of the following charging optimization problems: a) the welfare-optimal problem, where the overall system cost is minimized;b) the fleet-optimal problem, where the charging cost of the fleet as a whole is minimized by a central agent, that is the PEV aggregator;c) the selfish-optimal problem, where the noncooperative PEVs aim at minimizing their individual charging cost. For a homogenous PEV fleet and a simplified problem setup, we show that the solutions of the three different approaches correspond to different valley-filling results. A main insight is that, as the population of PEVs grows, the selfish-optimal solution converges to the welfare-optimal solution. On the other hand, we show that the centralized fleet-optimal solution of the PEV aggregation can be recovered via decentralized selfish-optimal solutions with respect to an appropriate price signal as the population size grows. Finally, we demonstrate our technical results on a realistic PEV fleet case study.

关键词： Electric vehicles Fleet population size optimal solution Prices

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Tensor-based reduced order modeling in reservoir engineering: An application to production optimization 2

Tensor-based reduced order modeling in reservoir engineering...

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2nd IFAC Workshop on automatic control in Offshore Oil and Gas Production, OOGP 2015

作者： Insuasty, Edwin Van Den Hof, Paul M.J. Weiland, Siep Jansen, Jan Dirk Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Den Dolech 2 Eindhoven5612AZ Netherlands Department of Geoscience and Engineering Delft University of Technology Stevinweg 1 CN Delft2628 Netherlands

In this paper, a novel framework for reduced order modeling in reservoir engineering is introduced, where tensor decompositions and representations of flow profiles are used to characterize empirical features of flow simulations. The concept of classical Galerkin projection is extended to perform projections of flow equations onto empirical tensor subspaces, generating in this way, reduced order approximations of the original mass and momentum conservation equations. The methodology is applied to compute gradient-based optimal production strategies for water flooding using tensor-based reduced order adjoints. © 2015, IF AG.

关键词： Tensors

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Geometrical considerations for photogrammetry missions in an UAV context

Geometrical considerations for photogrammetry missions in an...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Florin Stoican Dan Popescu Emilian Vlăsceanu Cristian Mateescu Department of Automatic Control and Systems Engineering UPB Romania Department of Automatic Control and Industrial Informatics UPB Romania Teamnet International Bucharest Romania

This paper discusses a practical implementation for photogrammetry missions in an UAV setting. Further advances, which exploit geometrical properties of the problem are considered. In particular, a bi-level optimization procedure which minimizes the total path-length is discussed. Various constraints and limitations are taken into account.

关键词： Optimization Polynomials Shape Lattices Payloads Mathematical model Atmospheric modeling

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Blind identification strategies for room occupancy estimation

Blind identification strategies for room occupancy estimatio...

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European control Conference

作者： A. Ebadat G. Bottegal D. Varagnolo B. Wahlberg H. Hjalmarsson K. H. Johansson ACCESS the Department of Automatic Control School of Electrical engineering KTH Royal Institute of Technology Division of Signals and Systems Department of Computer Science Electrical and Space Engineering Lulea University of Innovation and Technology

ISBN: (纸本)9781467371605

We propose and test on real data a two-tier estimation strategy for inferring occupancy levels from measurements of CO_2 concentration and temperature levels. The first tier is a blind identification step, based either on a frequentist Maximum Likelihood method, implemented using non-linear optimization, or on a Bayesian marginal likelihood method, implemented using a dedicated Expectation-Maximization algorithm. The second tier resolves the ambiguity of the unknown multiplicative factor, and returns the final estimate of the occupancy levels. The overall procedure addresses some practical issues of existing occupancy estimation strategies. More specifically, first it does not require the installation of special hardware, since it uses measurements that are typically available in many buildings. Second, it does not require apriori knowledge on the physical parameters of the building, since it performs system identification steps. Third, it does not require pilot data containing measured real occupancy patterns (i.e., physically counting people for some periods, a typically expensive and time consuming step), since the identification steps are blind.

关键词： System identification Management of HVAC systems Maximum Likelihood Expectation-Maximization

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Distributed and parallel random coordinate descent methods for huge convex programming over networks

Distributed and parallel random coordinate descent methods f...

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IEEE Annual Conference on Decision and control

作者： Ion Necoara Automatic Control and Systems Engineering Department University Politehnica Bucharest 060042 Bucharest Romania

ISBN: (纸本)9781479978878

In this paper we develop parallel random coordinate gradient descent methods for minimizing huge linearly constrained separable convex problems over networks. Since we have coupled constraints in the problem, we devise a family of algorithms that updates in parallel τ ≥ 2 (block) components per iteration. Moreover, the algorithms are adequate for distributed and parallel computations and their complexity per iteration is cheaper than of the full gradient method when the number of nodes N in the network is huge. We prove that for these methods we obtain in expectation an ∈-accurate solution in at most O(N/τ∈) iterations and thus the convergence rate depends linearly on the number of (block) components to be updated. We also describe several applications that fit in our framework, in particular the convex feasibility problem. Numerically, we show that the parallel coordinate descent method with τ > 2 accelerates on its basic counterpart corresponding to τ = 2.

关键词： iterative methods Parallel Lines Coordinates Network Distribute convex programming descent Linearly

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