In this paper, we present ongoing research and development on a new parallel nonlinear programming solver, NLPAROPT, that is being developed by CU Aerospace with collaboration from the University of Illinois at Urbana...
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Controller synthesis for linear parameter varying (LPV) systems has received a lot of attention from the control community. This is mainly motivated by the wide range of non-linear dynamical systems that can be approx...
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A fuzzy based mathematical model on Lagrangian multiplier conditions has been proposed to address the Non-linear programming (NLP) with equality constraints. Furthermore, the model demonstrates how multivariable optim...
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The electric output and efficiency of the Photovoltaic (PV) devices are strongly dependent on metrological variables such as solar irradiation, wind speed and ambient temperature. It is therefore important to optimise...
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State estimation base on a nonlinear programming model is presented (NLSE), which is applied the vectorization mode. We choose the L2 norm estimation as object. The nonlinear programming with equality constraint intro...
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ISBN:
(纸本)9787506292214
State estimation base on a nonlinear programming model is presented (NLSE), which is applied the vectorization mode. We choose the L2 norm estimation as object. The nonlinear programming with equality constraint introduced slack variables, can guarantee the robust of the algorithm and dispose the convergence problem. The symmetric coefficient matrix of correction equation can be used by apply the AMD reordering algorithm and LDLT algorithm on the solution, which can speed up the calculation striking. The whole model of nonlinear state estimation applies vectorization form, so the complexity extent is simplified and both versatility and maintainability of code are improved. Numerical simulations use IEEE14, IEEE57, IEEE118, IEEE300, N1047 system to validate the correctness of the proposed model and method.
In this paper, we present a constraint-partitioning approach for finding local optimal solutions of large-scale mixed-integer nonlinear programming problems (MINLPs). Based on our observation that MINLPs in many engin...
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The dispersive wave propagation in a periodic metamaterial with tetrachiral topology and inertial local resonators is investigated. The Floquet-Bloch spectrum of the metamaterial is compared with that of the tetrachir...
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This paper introduces a new lower bound stability measure with Finite-Word-Length (FWL) considerations that provides a larger measure than existing bounds and gives a better estimation of the stability robustness of s...
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The authors propose a systematic method to find several local minima for general nonlinear optimizatioin problems. They develop some analytical results for a quasi-gradient system and reflected gradient system and app...
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The paper solves a problem of the estimation of the moving vehicle position. The position is measured by global position system (GPS) but outages sometimes occur in the measurements. During these outages, the actual p...
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ISBN:
(纸本)9780889868892
The paper solves a problem of the estimation of the moving vehicle position. The position is measured by global position system (GPS) but outages sometimes occur in the measurements. During these outages, the actual position is estimated using data from vehicle sensors. A moving vehicle is described by a discrete-time state-space model with bounded noise. This model is constructed using kinematics laws and it can be used for arbitrary type of ground vehicle. Bayesian approach is applied to obtain position estimates. The maximum a posteriori (MAP) estimation converts to the nonlinear programming. The paper also discusses a setting of initial conditions for successful running of estimation process.
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