Results 1 to 10 of about 164,723 (287)
Journal of Marine Science and Engineering, 2022 Autonomous underwater vehicle (AUV) path planning in complex marine environments meets many chanllenges, such as many influencing factors, complex models and the performance of the optimization algorithm to be improved.
Bin Li +4 more
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IEEE Access, 2022 This paper is concerned with the fusion filtering problem for stochastic uncertain multi-sensor systems with time-correlated measurement noises, where the stochastic uncertainties are described by white multiplicative noises, and the additive measurement
Jing Ma, Sihong Liu, Qi Zhang
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Sensors, 2022 This paper concerns the distributed fusion filtering problem for descriptor systems with time-correlated measurement noises. The original descriptor is transformed into two reduced-order subsystems (ROSs) based on singular value decomposition.
Jing Ma, Liling Xu
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Pose-Graph Neural Network Classifier for Global Optimality Prediction in 2D SLAM
IEEE Access, 2021 The ability to decide if a solution to a pose-graph problem is globally optimal is of high significance for safety-critical applications. Converging to a local-minimum may result in severe estimation errors along the estimated trajectory.
Rana Azzam +3 more
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Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization
IEEE Access, 2021 The problem of selecting an optimal set of sensors estimating a high-dimensional data is considered. Objective functions based on D-, A-, and E-optimality criteria of optimal design are adopted to greedy methods, that maximize the determinant, minimize ...
Kumi Nakai +4 more
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Some remarks on duality and optimality of a class of constrained convex quadratic minimization problems [PDF]
Yugoslav Journal of Operations Research, 2017 In this paper the duality and optimality of a class of constrained convex quadratic optimization problems have been studied. Furthermore, the global optimality condition of a class of interval quadratic minimization problems has also been ...
Roy Sudipta +2 more
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Sparse neural network optimization by Simulated Annealing
Franklin Open, 2023 The over-parameterization of neural networks and the local optimality of backpropagation algorithm have been two major problems associated with deep-learning.
Ercan Engin Kuruoglu +2 more
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Optimal Control Problems Involving Combined Fractional Operators with General Analytic Kernels
Mathematics, 2021 Fractional optimal control problems via a wide class of fractional operators with a general analytic kernel are introduced. Necessary optimality conditions of Pontryagin type for the considered problem are obtained after proving a Gronwall type ...
Faïçal Ndaïrou, Delfim F. M. Torres
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IEEE Access, 2021 In order to meet the performance requirements of global optimality and path smoothness in robot path planning, a new fusion algorithm of jump-A* algorithm and dynamic window approach is proposed.
Lisang Liu +7 more
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A sufficient conditions for global quadratic optimization
Croatian Operational Research Review, 2020 This paper is devoted to global optimality conditions for quadratic optimization problems in a real space of dimension n. More precisely, we are concerned with nonconvex quadratic optimization problems with linear constraints. We present some sufficient
Mourad Naffouti, Abdeljelil Baccari
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