Search Results - Reduced space sequential convex programming

Reduced Space Sequential Convex Programming for Rapid Trajectory Optimization by Ma, Yangyang, Pan, Binfeng, Tang, Jingyuan

“… Motivated by the real-time requirements of onboard aerospac applications, this article presents a unified framework for reduced space sequential convex programming formulations, emphasizing…”
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High-efficiency reduced space sequential convex programming using low-complexity matrix inversion by Ma, Yangyang, Pan, Binfeng, Huang, Longxin, Chen, Qi, Xu, Zihui

“…In response to the increasing demand for real-time optimization in aerospace systems, reduced space sequential convex programming (rSCP…”
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Reduced-dimension STAP method for conformal array based on sequential convex programming by Shi, Jingxi, Yao, Xueqi, Wang, Zhihang, Cheng, Ziyang, Xie, Lei

“…–time adaptive processing (STAP) is not appropriate any more. To address these issues, a reduced dimension STAP algorithm based on penalty sequential convex programming in the generalized sidelobe cancellation structure is proposed…”
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Neural convex optimization for real-time trajectory generation of asteroid landings by Ma, Yangyang, Pan, Binfeng, Tan, Qingdu

“… The core innovation lies in integrating a deep neural network (DNN) based gravity model into the recently developed reduced space sequential convex programming (rSCP…”
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Angle-Doppler Channel Selection Method for Reduced-Dimension STAP Based on Sequential Convex Programming by Shi, Jingxi, Xie, Lei, Cheng, Ziyang, He, Zishu, Zhang, Wei

“…This letter considers the dimension reduction for the space-time adaptive processing (STAP…”
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Control of water distribution networks with dynamic DMA topology using strictly feasible sequential convex programming by Wright, Robert, Abraham, Edo, Parpas, Panos, Stoianov, Ivan

“… However, by permanently closing valves, a number of problems have been created including reduced resilience to failure and suboptimal pressure management…”
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Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming by Chriat, Alaa Eddine, Sun, Chuangchuang

“… To improve the tractability, we first use duality theory to transform the lower-level optimization from infinite-dimensional probability space where distributional shift is measured, to a finite…”
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Data-Driven Approaches for Mixed Integer Convex Programming in Robot Control by Cauligi, Abhishek Srihari

“…Advances in sensing and actuation capabilities have allowed for the proliferation of robots across many fields, including aerial, industrial, and automotive…”
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Time-optimal path following for robots with trajectory jerk constraints using sequential convex programming by Debrouwere, Frederik, Van Loock, Wannes, Pipeleers, Goele, Tran Dinh, Quoc, Diehl, Moritz, De Schutter, Joris, Swevers, Jan

“… In the case of a robotic manipulator a convex reformulation of this optimal control problem has been derived previously [1…”
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Design and Implementation of a Reduced-Space SQP Solver with Column Reordering for Large-Scale Process Optimization by Zhao, Chuanlei, Liu, Ao, Jiang, Aipeng, Zheng, Xiaoqing, Wang, Haokun, Zhao, Rui

“… This study reports on the design and implementation of a reduced-space sequential quadratic programming (RSQP…”
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Inner approximation algorithm for solving linear multiobjective optimization problems by Csirmaz, Laszlo

“… Using different single-objective optimization problems yields different algorithms, such as a sequential convex hull algorithm, another version of Benson's algorithm with the theoretically best…”
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Dynamics and Control of Helical Arrays in Low Earth Orbit by Apa, Riccardo, Quadrelli, Marco B., Beauchamp, Robert M.

“… Mission cost and risk are reduced, while the retrieval of scientific data is significantly increased…”
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An Efficient Simplex Coverability Algorithm in E2 with Application to Stochastic Sequential Machines by Silio

“…The problem of determining the existence of a simplex which covers a given convex polytope inside another given convex polytope in two-dimensional Euclidean space is shown to be efficiently solvable…”
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Distributed multi-robot formation control among obstacles: A geometric and optimization approach with consensus by Alonso-Mora, Javier, Montijano, Eduardo, Schwager, Mac, Rus, Daniela

“…) the largest convex region within free space. The robots then compute, via sequential convex programming, the locally optimal parameters for the formation within this convex neighborhood of the robots…”
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An efficient graphic processing unit parallel optimal point searching approach on complex product response surface by Li, Pu, Chen, Jinghuan, Li, Haiyan, Huang, Yunbao, Yang, Senquan, Hu, Songxi

“… However, when design variables increase, it often takes considerable time for high-dimensional response surface to search the optimal point, which falls easily into the local optimum due to the large search space…”
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Smooth trajectory generation and hybrid B-splines-quaternions based tool path interpolation for a 3T1R parallel kinematic milling robot by Akhbari, Sina, Mahboubkhah, Mehran

“… between path length and tool orientation, solved via sequential quadratic programming. By leveraging the convex hull properties of Bezier curves, the method ensures spatial and temporal separation constraints for multi-agent trajectory generation…”
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Development of the D-Optimality-Based Coordinate-Exchange Algorithm for an Irregular Design Space and the Mixed-Integer Nonlinear Robust Parameter Design Optimization by Ozdemir, Akin

“…Robust parameter design (RPD), originally conceptualized by Taguchi, is an effective statistical design method for continuous quality improvement by…”
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Economic Valuation of Inter-Annual Reservoir Storage in Water Resources Systems: Theory, Development, and Applications by Khadem, Majed

“…This thesis develops and applies methods that blend physical science, engineering and economics to the management of water resources. The core intuition of the…”
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Optimization of the power/ground network wire-sizing and spacing based on sequential network simplex algorithm by Ting-Yuan Wang, Chen, C.C.-P.

“… The space-sizing which allows the length to change gives more flexibility in solving practical problems…”
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Efficient SVM Training Using Parallel Primal-Dual Interior Point Method on GPU by Jing Jin, Xianggao Cai, Xiaola Lin

“…The training of SVM can be viewed as a Convex Quadratic Programming (CQP) problem which becomes difficult to be solved when dealing with the large scale data sets…”
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