Results 31 to 40 of about 4,530,250 (344)
Bandwidth Maximization of Disturbance Observer Based on Experimental Frequency Response Data
SICE Journal of Control, Measurement, and System Integration, 2020 A disturbance observer (DOB) has been widely employed in industrial field due to its simplicity and effectiveness in disturbance rejection. This paper focuses on systematic bandwidth-maximized DOB design by frequency response data-based convex ...
Xiaoke Wang +2 more
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Communication complexity of convex optimization [PDF]
1986 25th IEEE Conference on Decision and Control, 1986 We consider a situation where each of two processors has access to a different convex function \(f_ i\), \(i=1,2\), defined on a common bounded domain. The processors are to exchange a number of binary messages, according to some protocol, until they find a point in the domain at which \(f_ 1+f_ 2\) is minimized, within some prespecified accuracy ...
Zhi-Quan Luo, John N. Tsitsiklis
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Optimal divisions of a convex body
Mathematical Inequalities & Applications, 2023 For a convex body $C$ in $\mathbb{R}^d$ and a division of $C$ into convex subsets $C_1,\ldots,C_n$, we can consider $max\{F(C_1),\ldots, F(C_n)\}$ (respectively, $min\{F(C_1),\ldots, F(C_n)\}$), where $F$ represents one of these classical geometric magnitudes: the diameter, the minimal width, or the inradius.
Cañete Martín, Antonio Jesús +2 more
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Predictive online convex optimization [PDF]
Automatica, 2020 We incorporate future information in the form of the estimated value of future gradients in online convex optimization. This is motivated by demand response in power systems, where forecasts about the current round, e.g., the weather or the loads' behavior, can be used to improve on predictions made with only past observations.
Joshua A. Taylor +2 more
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On Convex optimization without convex representation [PDF]
Optimization Letters, 2010 7 pages; 1 ...
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A Rewriting System for Convex Optimization Problems [PDF]
Journal of Control and Decision, 2017 We describe a modular rewriting system for translating optimization problems written in a domain-specific language to forms compatible with low-level solver interfaces.
Akshay Agrawal +3 more
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Characterizations of the Solution Sets of Generalized Convex Fuzzy Optimization Problem
Open Mathematics, 2019 This paper provides some new characterizations of the solution sets for non-differentiable generalized convex fuzzy optimization problem. Firstly, we introduce some new generalized convex fuzzy functions and discuss the relationships among them. Secondly,
Chen Wang, Zhou Zhiang
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Distributed Time-Varying Convex Optimization for a Class of Nonlinear Multiagent Systems
IEEE Transactions on Automatic Control, 2020 This paper studies the distributed time-varying convex optimization problem for a class of nonlinear multiagent systems. An auxiliary system is first designed to estimate the global optimal state and its high-order derivatives by means of a distributed ...
Bomin Huang +3 more
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A Note on Optimality Conditions for DC Programs Involving Composite Functions
Abstract and Applied Analysis, 2014 By using the formula of the ε-subdifferential for the sum of a convex function with a composition of convex functions, some necessary and sufficient optimality conditions for a DC programming problem involving a composite function are obtained.
Xiang-Kai Sun, Hong-Yong Fu
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Journal of Inequalities and Applications, 2019 In this paper, we first introduce a new algorithm which involves projecting each iteration to solve a split feasibility problem with paramonotone equilibria and using unconstrained convex optimization.
Q. L. Dong +4 more
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