Results 51 to 60 of about 6,104 (162)
A finite steps algorithm for solving convex feasibility problems
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Rami, M. Ait, Helmke, Uwe, Moore, John
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Viability and Feasibility of Constrained Kinematic Control of Manipulators
Recent advances in planning and control of robot manipulators make an increasing use of optimization-based techniques, such as model predictive control. In this framework, ensuring the feasibility of the online optimal control problem is a key issue.
Marco Faroni +3 more
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Distributed Algorithms for Solving a Class of Convex Feasibility Problems
In this paper, a class of convex feasibility problems (CFPs) are studied for multi-agent systems through local interactions. The objective is to search a feasible solution to the convex inequalities with some set constraints in a distributed manner.
Kaihong Lu +2 more
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This paper presents a synthesis of higher-order control Lyapunov functions (HOCLFs) and higher-order control barrier functions (HOCBFs) capable of controlling nonlinear dynamic systems while maintaining safety.
Alaa Eddine Chriat, Chuangchuang Sun
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A General Approximation Method for a Kind of Convex Optimization Problems in Hilbert Spaces
The constrained convex minimization problem is to find a point x∗ with the property that x∗∈C, and h(x∗)=min h(x), ∀x∈C, where C is a nonempty, closed, and convex subset of a real Hilbert space H, h(x) is a real-valued convex function, and h(x) is not ...
Ming Tian, Li-Hua Huang
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This article presents a new output feedback controller design method for polynomial linear parameter varying model with bounded parameter variation rate.
Xiaobao Han +3 more
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In this paper, we present two iterative algorithms for approximating a solution of the split feasibility problem on zeros of a sum of monotone operators and fixed points of a finite family of nonexpansive mappings.
Narin Petrot +2 more
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The two-operator split common fixed point problem (two-operator SCFP) with firmly nonexpansive mappings is investigated in this paper. This problem covers the problems of split feasibility, convex feasibility, and equilibrium and can especially be used ...
Chung-Chien Hong, Young-Ye Huang
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Convergence analysis of a variable metric forward–backward splitting algorithm with applications
The forward–backward splitting algorithm is a popular operator-splitting method for solving monotone inclusion of the sum of a maximal monotone operator and an inverse strongly monotone operator.
Fuying Cui, Yuchao Tang, Chuanxi Zhu
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An interior points algorithm for the convex feasibility problem
AbstractThe problem of finding a point in the intersection of a finite family of convex sets in the Euclidean space R″ is considered here. We present a general algorithmic scheme which employs projections onto separating hyperplanes instead of projections onto the convex sets.
Aharoni, Ron +2 more
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