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Showing 1 to 13 of 13 for “"Linear Approximations"”.

  1. An active-constraint logic for nonlinear programming

    … and the resulting step does not violate the linear approximations to any of the constraints satisfied as equalities but considered inactive. Some of the existing active-constraint logics, specifically the dual-violator rule, yield the desired active set when two constraints are satisfied as …

    vt Repository record for An active-constraint logic for nonlinear programming (opens in a new tab)

  2. Optimization of multistage systems with nondifferentiable objective functions.

    … generated consists of successive piecewise linear approximations of the stagewise objective function and the value function. In the parallel algorithm, an incentive coordination method is used to coordinate the subproblems. We provide proofs of convergence for these algorithms. Two …

    arizona-thes Repository record for Optimization of multistage systems with nondifferentiable objective functions. (opens in a new tab)

  3. Methods to ensure the adequate primary frequency response of low inertia power systems

    … optimization problems are formulated with nonlinear PFR constraints that require the time-domain simulation of a differential and algebraic equation (DAE) model of the system. Tractable iterative solution approaches, in which rapidly solvable linear approximations of the nonlinear problems are …

    uiuc Repository record for Methods to ensure the adequate primary frequency response of low inertia power systems (opens in a new tab)

  4. A controller design procedure for nonlinear stochastic systems

    … improved method for designing controllers for nonlinear stochastic systems is developed and analyzed. The resulting controller consists of a nonlinear control law coupled with an adaptive state estimator. The nonlinear control law is developed first. Using Taylor series expansion, linear

    vt Repository record for A controller design procedure for nonlinear stochastic systems (opens in a new tab)

  5. MOSFET Current Source Gate Drivers, Switching Loss Modeling and Frequency Dithering Control for MHz Switching Frequency DC-DC Converters

    … calculate the rise and fall times and piecewise linear approximations of the HS MOSFET voltage and current waveforms to allow quick and accurate calculation of switching loss. The final contribution is a new variable frequency digital control method for resonant converters, which is suitable for …

    queens Repository record for MOSFET Current Source Gate Drivers, Switching Loss Modeling and Frequency Dithering Control for MHz Switching Frequency DC-DC Converters (opens in a new tab)

  6. Elastocapillarity: adhesion and large deformations of thin sheets

    … particularly in the regime of geometrically nonlinear deformations. We first consider the form of an elastic sheet that is partially adhered to a rigid substrate, accounting for deflections with large slope: the Sticky Elastica. Starting from the classical Euler Elastica we provide numerical …

    cambridge Repository record for Elastocapillarity: adhesion and large deformations of thin sheets (opens in a new tab)

  7. Balancing container inventories for ocean carriers

    … The algorithm decomposes the initial non-linear network formulation into an iteration of successive linear approximations that can be solved via a classical linear programming method.

    mit Repository record for Balancing container inventories for ocean carriers (opens in a new tab)

  8. Stochastic adaptive estimation with applications to nonlinear control

    … state estimators that are capable of tracking linear plants that undergo rapid configuration changes. The first is a modification of the Partitioned Adaptive Estimator, PAE, first introduced by Magill in 1965, improved and named by Lainiotis, and used in a number of applications, primarily …

    vt Repository record for Stochastic adaptive estimation with applications to nonlinear control (opens in a new tab)

  9. Real-time phasor measurements for improved monitoring and control of power system stability

    … system measurement model observable, and thereby linear. This placement scheme is derived from the topological observability theory. It concerns the building of a spanning measurement sub-graph across the system with actual or pseudo-measurement assigned to each of its branches. The minimal PMU …

    vt Repository record for Real-time phasor measurements for improved monitoring and control of power system stability (opens in a new tab)

  10. Sparse Value Function Approximation for Reinforcement Learning

    … learning.</p><p>One method for obtaining sparse linear approximations is the inclusion in the objective function of a penalty on the sum of the absolute values of the approximation weights. This <italic>L<sub>1</sub></italic> regularization approach was first applied to temporal difference …

    duke Repository record for Sparse Value Function Approximation for Reinforcement Learning (opens in a new tab)

  11. Equitable Loss Allocation in Distribution Systems

    … we first obtain closed form approximation of nonlinear power-flow solution. A circuit-theoretic method called power tracing then uses this power-flow solution to determine a set of loss coefficients to allocate losses to the inverters present in the network. Finally, these loss coefficients are …

    umn Repository record for Equitable Loss Allocation in Distribution Systems (opens in a new tab)

  12. The design of hardware and signal processing for a stepped frequency continuous wave ground penetrating radar

    … is developed based on the radar geometry and linear approximations to the wavenumber in a lossy medium. Assuming high operating frequencies and/or low conductive losses, the model is shown to be equivalent to the exponential model found in signal processing theory. A number of algorithms exist …

    cape-town Repository record for The design of hardware and signal processing for a stepped frequency continuous wave ground penetrating radar (opens in a new tab)

  13. Transformation knowledge in pattern analysis with kernel methods - distance and integration kernels

    … analysis for feature extraction or other linear classifiers like the kernel perceptron. The fundamental ingredient in these methods is the choice of a kernel function, which computes a similarity measure between two input objects. For good generalization abilities of a learning algorithm …

    freiburg-diss Repository record for Transformation knowledge in pattern analysis with kernel methods - distance and integration kernels (opens in a new tab)