Nonlinear Proximal Point Algorithms with Bregman Functions in Convex Programming
报告题目(中文):
基于Bregman函数的非线性邻近点算法及其在凸规划中的应用
Abstract
A Bregman function is a strictly convex and differentiable function that introduces a well-behaved distance measure (i.e. D-function) in Euclidean space. This paper shows that for every Bregman function, there exists a nonlinear version of the proximal point algorithm, along with a corresponding convergence theory. Applying this generalization of the proximal point algorithm to convex programming leads to the D-function proximal minimization algorithm of Censor and Zenios, as well as a variety of new multiplier methods. These multiplier methods differ from those studied by Kort and Bertsekas, including non-quadratic variants of the proximal multiplier method.
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报告人:刘浩泽
报告题目(英文):
Discrete-Time Terminal Sliding Mode Control
报告题目(中文):
离散时间终端滑模控制
Abstract
In practical applications, as most control schemes are implemented digitally, it is essential to investigate control strategies for discrete-time systems. This paper briefly introduces the development and design principles of continuous-time terminal sliding mode control, and then summarizes the current research status and progress of discrete-time terminal sliding mode control. The performance of discrete-time terminal sliding mode control is briefly discussed, and finally several potential future research directions are pointed out.