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    2151 research outputs found

    Unstable modes of the Q1-P0 element

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    In this paper the unstable eigenmodes of Q1-P0 velocity/pressure finite element approximation for incompressible flow problems are characterised. It is shown that the inf-sup stability constant is O(h)O(h) in two dimensions and O(h2)O(h^2) in three dimensions. The basic tool in the analysis is the method of modified equations which is applied to finite difference representations of the underlying finite element equations. The asymptotic estimates are confirmed and supplemented by numerical experiments

    The finite Language for Computable Metric Spaces

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    In this paper we propose a model-theoretic characterisation of computable metric spaces and computability over them in a finite language

    Lie powers and pseudo-idempotents

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    We give a new factorisation of the classical Dynkin operator, an element of the integral group ring of the symmetric group that facilitates projections of tensor powers onto Lie powers. As an application we show that the iterated Lie power L2(Ln)L_2(L_n) is a module direct summand of the Lie power L2nL_{2n} whenever the characteristic of the ground field does not divide nn. An explicit projection of the latter onto the former is exhibited in this case

    HydraMP: Exploiting shared memory parallelism in HYDRA with OpenMP

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    Multicore CPUs are now found in desktops, servers and supercomputers but many existing parallel performance analysis tools were designed for the single-core distributed-memory world. We investigate the practicality of taking an existing tool, namely the HYDRA response time analyser, and parallelising it with OpenMP to produce a multithreaded implementation suitable for execution on multicore shared-memory machines. We discuss the amount of software engineering work required and show that only a small number of lines of code need to be added to achieve dramatic speed-ups over the serial version. We also compare the run-times of our OpenMP-parallelised version with existing MPI-parallelised code on the same hardware

    The Continuing Influence of Fiedler's Work on Companion Matrices

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    This is a reconstruction in article-like form of a talk given at the ``Minisymposium in Honor of Miroslav Fiedler'' at the 17th ILAS Conference, held at TU Braunschweig, Germany, on Thurs 25 Aug 2011

    MODELLING AND DYNAMIC STABILISATION OF A COMPLIANT HUMANOID ROBOT, CoMan

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    This dissertation presents the results of a series of studies on dynamic stabilisation of CoMan, which is actuated by series elastic actuators. The main goal of this dissertation is to dynamically stabilise the humanoid robot on the floor by the simplest multivariate feedback control for the purpose of walking. The multivariable scheme is chosen to take into account the joints' interactions, as well as providing a systematic way of designing the feedback system to improve the bandwidth and tracking performance of CoMan's existing PID control. A detailed model is derived which includes all the motors and joints state variables and their multibody interactions which are often ignored in the previous studies on bipedal robots in the literature. The derived dynamic model is then used to design multivariable optimal control feedback and observers with a mathematical proof for the relative stability and robustness of the closed loop system in face of model uncertainties and disturbances. In addition, two decentralized optimal feedback design algorithms are presented that explicitly take the compliant dynamics and the multibody interactions into account while providing the mathematical proof for the stability of the overall system. The purpose of the proposed decentralized control methods is to provide a systematic model based PD-PID design to replace the existing PID controllers which are derived by a trial and error process. Moreover, the challenging constrained and compliant motion of the robot in double support is studied where a novel constrained feedback design is proposed which directly takes the compliance dynamics, interactions and the constraints into account to provide a closed loop feedback tracking system that drives the robot inside the constrained subspace. This method of control is particularly interesting since most control methods applied to closed kinematic chains (such as the double support phase) are over complicated for implementation purposes or have an ad-hoc approach to controller design. In terms of walking trajectory generation, an extension to the ZMP walking trajectory generation is proposed to utilise the CoMan's upper body to tackle the non-minimum phase behaviour that is faced in trajectory generation. Simple inverted pendulum models of walking are then used to study the maximum feasible walking speed and step size where parameters of CoMan are used to provide numerical upper-bounds on the step size and walking speed. Use of straight knee and toe push-off during walking is shown to be beneficial for taking larger step lengths and hence achieving faster walking speeds. Subsequently, the designed tracking systems are then applied to a dynamic walking simulator which is developed during this PhD project to accurately model the compliant walking behaviour of the CoMan. A walking gait is simulated and visualized to show the effectiveness of the developed walking simulator. Moreover, the experimental results and challenges faced during the implementation of the designed tracking control systems are discussed where it is shown that the LQR feedback results in 50\% less control effort and tracking errors in comparison with CoMan's existing independent PID control. This advantage directly affects the feasible walking speed. In addition, a set of standard and repeatable tests for CoMan are designed to quantify and compare the performance of various control system designs. Finally, the conclusions and future directions are pointed out

    The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks

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    The generation and use of metabolic network reconstructions has increased over recent years. The development of such reconstructions has typically involved a time-consuming, manual process. Recent work has shown that steps undertaken in reconstructing such metabolic networks are amenable to automation. The SuBliMinaL Toolbox (http://www.mcisb.org/subliminal/) facilitates the reconstruction process by providing a number of independent modules to perform common tasks, such as generating draft reconstructions, determining metabolite protonation state, mass and charge balancing reactions, suggesting intracellular compartmentalisation, adding transport reactions and a biomass function, and formatting the reconstruction to be used in third-party analysis packages. The individual modules manipulate reconstructions encoded in Systems Biology Markup Language (SBML), and can be chained to generate a reconstruction pipeline, or used individually during a manual curation process. This work describes the individual modules themselves, and a study in which the modules were used to develop a metabolic reconstruction of Saccharomyces cerevisiae from the existing data resources KEGG and MetaCyc. The automatically generated reconstruction is analysed for blocked reactions, and suggestions for future improvements to the toolbox are discussed

    A Framework for Analyzing Nonlinear Eigenproblems and Parametrized Linear Systems

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    Associated with an n×nn\times n matrix polynomial of degree \ell, P(λ)=j=0λjAjP(\lambda) = \sum_{j=0}^\ell \lambda^j A_j, are the eigenvalue problem P(λ)x=0P(\lambda)x = 0 and the linear system problem P(ω)x=bP(\omega)x = b, where in the latter case xx is to be computed for many values of the parameter ω\omega. Both problems can be solved by conversion to an equivalent problem L(λ)z=0L(\lambda)z = 0 or L(ω)z=cL(\omega)z = c that is linear in the parameter λ\lambda or ω\omega. This linearization process has received much attention in recent years for the eigenvalue problem, but it is less well understood for the linear system problem. We develop a framework in which more general versions of both problems can be analyzed, based on one-sided factorizations connecting a general nonlinear matrix function N(λ)N(\lambda) to a simpler function M(λ)M(\lambda), typically a polynomial of degree 1 or 2. Our analysis relates the solutions of the original and lower degree problems and in the linear system case indicates how to choose the right-hand side cc and recover the solution xx from zz. For the eigenvalue problem this framework includes many special cases studied in the literature, including the vector spaces of pencils L1(P)\mathbb{L}_1(P) and L2(P)\mathbb{L}_2(P) recently introduced by Mackey, Mackey, Mehl, and Mehrmann and a class of rational problems. We use the framework to investigate the conditioning and stability of the parametrized linear system P(ω)x=bP(\omega)x = b and thereby study the effect of scaling, both of the original polynomial and of the pencil LL. Our results identify situations in which scaling can potentially greatly improve the conditioning and stability and our numerical results show that dramatic improvements can be achieved in practice

    A truncated ILU smoother for multigrid preconditioning of convection dominated flow problems

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    Multigrid methods are known to be efficient preconditioners and solvers for linear systems obtained from discretizing second-order, scalar elliptic problems. Singular perturbations involving these problems (such as the convection-diffusion equation) introduce new properties into the discrete problem, and this typically leads to the deterioration in the effectiveness of multigrid methods using standard point smoothers when close to the perturbation limit. In this paper we propose a new smoothing strategy, based on incomplete factorisation of truncated matrices arizing in the multigrid hierarchy. The truncation procedure is based on the heuristics used to determine strong connections in the classical (Ruge-Stuben) algebraic multigrid method. We report results of tests of the new smoother both for geometric and for algebraic multigrid on benchmark problems in two and three spatial dimensions

    On the Bott periodicity, J-homomorphisms, and HQ0SkH_*Q_0S^{-k}

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    The Curtis conjecture predicts that the only spherical classes in H(Q0S0;Z/2)H(Q_0S^0; Z/2) are the Hopf invariant one and the Kervaire invariant one elements. We consider Sullivan's decomposition Q_0S^0 = J \times \cokerJ where JJ is the fibre of ψq1\psi^q - 1 (q=3q = 3 at the prime 2) and observe that the Curtis conjecture holds when we restrict to JJ. We then use the Bott periodicity and the JJ-homomorphism SOQ0S0todefinesomegeneratorsinSO \rightarrow Q_0S^0 to define some generators in H(Q_0S^0; Z/p),when, when pisanyprime,anddeterminethetypeofsubalgebrasthattheygenerate.For is any prime, and determine the type of subalgebras that they generate. For p = 2wedeterminesphericalclassesin we determine spherical classes in H_*( \Omega^k_0J; Z/2).Wedeterminetruncatedsubalgebrasinside. We determine truncated subalgebras inside H_*(Q_0-k}; Z/2).ApplyingthemachineryoftheEilenbergMoorespectralsequencewedeneclassesthatarenotintheimageofbythe. Applying the machinery of the Eilenberg-Moore spectral sequence we dene classes that are not in the image of by the Jhomomorphism.Weshallmakesomepartialobservationsonthealgebraicstructureof-homomorphism. We shall make some partial observations on the algebraic structure of H_*(\Omega^k_0 \coker J; Z/2).Finally,weshallmakesomecommentsontheprobleminthecaseequivariant. Finally, we shall make some comments on the problem in the case equivariant J$-homomorphisms

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