Results 21 to 30 of about 1,479,521 (268)
Robust constrained model predictive control based on parameter-dependent Lyapunov functions [PDF]
, 2008 The problem of robust constrained model predictive control (MPC) of systems with polytopic uncertainties is considered in this paper. New sufficient conditions for the existence of parameter-dependent Lyapunov functions are proposed in terms of linear ...
B. Pluymers +21 more
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A Criteria Transformation Approach to Pattern Matching based on Non-Linear Parameter Optimization
Journal of Intelligent Systems, 2015 This paper presents a concept for pattern matching based on a parameter optimization system for approximative numerical calculation of some parameter combination under soft and hard constraints. The concept uses a non-linear parameter optimization method
John Christian +4 more
doaj +1 more source
Multi-parameter detector optimization: SHiP case [PDF]
EPJ Web of ConferencesSHiP (Search for Hidden Particles) and the associated SPS Beam Dump Facility is a new general-purpose experiment proposed at the SPS to search for "hidden" particles as predicted by a very large number of recently elaborated models of Hidden Sectors ...
Kurbatov Evgeny +2 more
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An improved optimization technique for estimation of solar photovoltaic parameters [PDF]
, 2017 The nonlinear current vs voltage (I-V) characteristics of solar PV make its modelling difficult. Optimization techniques are the best tool for identifying the parameters of nonlinear models.
Alam +35 more
core +2 more sources
Machine-Learning-Based Design Optimization of Chassis Bushings
Vehicles, 2023 In this work, a method is developed for the component design of chassis bushings with contoured inner cores, aided by artificial neural networks (ANNs) and design optimization.
Eric Töpel +4 more
doaj +1 more source
Density-Based Penalty Parameter Optimization on C-SVM
The Scientific World Journal, 2014 The support vector machine (SVM) is one of the most widely used approaches for data classification and regression. SVM achieves the largest distance between the positive and negative support vectors, which neglects the remote instances away from the SVM ...
Yun Liu +3 more
doaj +1 more source
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
International Journal of Computational Intelligence Systems, 2014 This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
doaj +1 more source
Civil and Environmental Engineering, 2016 The sandwich structures have multifold advantages with respect to other types of structures. Besides the architectural possibilities due to their appearance, those structures can carry the same or even higher loads than some other similar structures ...
Nikolić Ružica R. +2 more
doaj +1 more source
IEEE Access, 2020 Single objective real-parameter optimization problems exist in many areas of the real world, and Differential Evolution (DE) is a powerful population based stochastic optimization approach for tackling such problems.
Zhenyu Meng +3 more
doaj +1 more source
Bayesian optimization in ab initio nuclear physics [PDF]
, 2019 Theoretical models of the strong nuclear interaction contain unknown coupling constants (parameters) that must be determined using a pool of calibration data.
Dimitrakakis, C. +7 more
core +3 more sources