Suchergebnisse - "Convex programming"

Model Predictive Convex Programming for Constrained Vehicle Guidance von Hong, Haichao, Maity, Arnab, Holzapfel, Florian, Tang, Shengjing

“… A new model predictive convex programming is proposed in this paper for state and input constrained vehicle guidance design …”
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Geometric Robot Dynamic Identification: A Convex Programming Approach von Lee, Taeyoon, Wensing, Patrick M., Park, Frank C.

“… systems subject to noisy and incomplete measurements. Instead, differential geometric identification methods have proven to be significantly more accurate and robust …”
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Square Kilometre Array Enhancement: A Convex Programming Approach to Optimize SKA-Low Stations in the Case of Perturbed Vogel Layout von Battaglia, Giada Maria, Caruso, Giuseppe, Bolli, Pietro, Palmeri, Roberta, Morabito, Andrea Francesco

“… This study presents a convex optimization framework for beam synthesis in Square Kilometre Array low-frequency radio telescope stations configured in a …”
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Low-Frequency Square Kilometer Array Pattern Optimization via Convex Programming von Battaglia, Giada Maria, Caruso, Giuseppe, Bolli, Pietro, Labate, Maria Grazia, Palmeri, Roberta, Morabito, Andrea Francesco

“… A well-known and powerful convex optimization strategy is exploited to enhance the electromagnetic performance of the Square Kilometer Array Low-Frequency …”
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Encoding inductive invariants as barrier certificates: Synthesis via difference-of-convex programming von Wang, Qiuye, Chen, Mingshuai, Xue, Bai, Zhan, Naijun, Katoen, Joost-Pieter

“… ). We further propose a synthesis algorithm based on difference-of-convex programming, which approaches a local optimum of the BMI problem via solving a series of convex optimization problems …”
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On bandwidth maximization of fixed-geometry arrays through convex programming von Bui, L. T. P., Anselmi, N., Isernia, T., Rocca, P., Morabito, A. F.

“… The designing problem is cast as a sequence of Convex Programming optimizations. Numerous numerical experiments, including full-wave synthesis of realistic antennas …”
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A Cutting Surface Algorithm for Semi-Infinite Convex Programming with an Application to Moment Robust Optimization von Mehrotra, Sanjay, Papp, Dávid

“… We present and analyze a central cutting surface algorithm for general semi-infinite convex optimization problems and use it to develop a novel algorithm for …”
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Entry Guidance for Hypersonic Glide Vehicles via Two-Phase hp-Adaptive Sequential Convex Programming von Liu, Xu, Li, Xiang, Zhang, Houjun, Huang, Hao, Wu, Yonghui

“… ). To achieve efficient and reliable trajectory planning, a two-phase hp-adaptive sequential convex programming (SCP …”
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Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming

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Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization von Lew, Thomas, Bonalli, Riccardo, Pavone, Marco

“… the signed distance function. We propose a novel sequential convex programming algorithm and prove that under a discrete time problem formulation, it is guaranteed to converge to a solution satisfying first-order optimality conditions …”
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H2 robust filter design with performance certificate via convex programming von Geromel, José C., Korogui, Rubens H.

“… In this paper a new approach to H2 robust filter design is proposed. Both continuous- and discrete-time invariant systems subject to polytopic parameter uncertainty are considered …”
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H 2 robust filter design with performance certificate via convex programming von Geromel, José C., Korogui, Rubens H.

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A globally convergent sequential convex programming using an enhanced two-point diagonal quadratic approximation for structural optimization von Park, Seonho, Jeong, Seung Hyun, Yoon, Gil Ho, Groenwold, Albert A., Choi, Dong-Hoon

“… In this study, we propose a sequential convex programming (SCP) method that uses an enhanced two-point diagonal quadratic approximation (eTDQA …”
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A sequential convex programming algorithm for minimizing a sum of Euclidean norms with non-convex constraints von Trang, L.H., Kozma, A., An, P.T., Diehl, M.

“… : , where and , subject to is on the relative boundary of , for . The objective function of the problem is convex but not everywhere differentiable and the constraints are non-convex …”
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Characterization of the equivalence of robustification and regularization in linear and matrix regression von Bertsimas, Dimitris, Copenhaver, Martin S.

“… perturbations in the underlying data has been the subject of increasing interest in recent years …”
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Joint Load Balancing and Interference Management for Small-Cell Heterogeneous Networks With Limited Backhaul Capacity von Ho Huu Minh Tam, Hoang Duong Tuan, Duy Trong Ngo, Duong, Trung Q., Poor, H. Vincent

“… The objective here is either: 1) to maximize the network sum rate subject to minimum throughput requirements at individual UEs, or 2 …”
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A physiology-based inverse dynamic analysis of human gait using sequential convex programming: a comparative study von De Groote, F., Demeulenaere, B., Swevers, J., De Schutter, J., Jonkers, I.

“… This paper presents an enhanced version of the previously proposed physiological inverse approach (PIA) to calculate musculotendon (MT) forces and evaluates …”
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Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming von Xia, Youshen, Wang, Jun, Guo, Wenzhong

“… Recent reports show that projection neural networks with a low-dimensional state space can enhance computation speed obviously. This paper proposes two …”
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Constrained Spacecraft Attitude Control Using Sequential Convex Programming von Melville, Nicholas

“… This thesis describes how sequential convex programming can be used to guide and control the attitude of a spacecraft which is subject to pointing constraints …”
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The augmented Lagrangian method with full Jacobian decomposition and logarithmic-quadratic proximal regularization for multiple-block separable convex programming von Li, Min, Yuan, Xiaoming

“… We consider a separable convex minimization model whose variables are coupled by linear constraints and they are subject to the positive orthant constraints, and its objective function is in form of m …”
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