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These were only two concrete examples of model-free control algorithms; many more approaches have been proposed, for instance, evolutionary methods such as genetic algorithms, simulated annealing methods, and so on. One could also cite here the pure3 neural network (NN), deep NN algorithms, see...
A simulated annealing algorithm, working interactively with the neural network process model, is used to derive optimal control decisions rapidly and on-the-fly. The controller performance is systematically demonstrated for serveral processing scenarios.David Nelsen...
Recently, finite control set model predictive torque control (FCS-MPTC) has gained popularity among researchers due to its numerous benefits including effective incorporation of non-linearities into controller model, multivariable formulation, and constraint handling among others5,6,7,8. Like DTC, FCS-...
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1.Simulated annealing approach based on hypothesis test for stochastic optimization problems;随机优化问题一类基于假设检验的模拟退火算法 2.Stochastic Optimization for 3D ECT Data Correction and Image Reconstruction基于随机优化理论的3D ECT数据校正及图像重建 3.Stochastic Optimization to the Cost Problem of Pro...
In the simulated annealing step of the FtsB/FtsL models (without FtsQ), instability of these structures was found. The rmsd of the final structure was 6-10 Å (depending on the stoichiometry), with a weakening of van der Waals energies with respect to the initial structure. The polar ...
In simulated annealing, we map the optimization problem to the atomic configuration, with random dislocation representing the change in the solution. To avoid being trapped into a local minimum, the simulating annealing accepts the intermediate solution with a certain probability. So the probability ...
Robust automated backbone triple resonance NMR assignments of proteins using Bayesian-based simulated annealing Article Open access 21 March 2023 Optimal 13C NMR investigation of intrinsically disordered proteins at 1.2 GHz Article 12 December 2023 Computational molecular spectroscopy Article 27 May 202...
For k=2, this mathematical model becomes:(15a)(MODk=2)miny(15b)s.t.x1,i+x2,i=1,∀i∈In(15c)∑i=1nx1,i⩾1(15d)∑i=1nx2,i⩾1(15e)∑i=1nvil(x1,i-x2,i)⩽y,∀l∈Im(15f)∑i=1nvil(x2,i-x1,i)⩽y,∀l∈Im(15g)y∈R+(15h)xji∈{0,1},∀(j,i)∈I...