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Optimization and nonsmooth analysis

TLDR
The Calculus of Variations as discussed by the authors is a generalization of the calculus of variations, which is used in many aspects of analysis, such as generalized gradient descent and optimal control.
Abstract
1. Introduction and Preview 2. Generalized Gradients 3. Differential Inclusions 4. The Calculus of Variations 5. Optimal Control 6. Mathematical Programming 7. Topics in Analysis.

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Canonical Duality Theory: Connections between Nonconvex Mechanics and Global Optimization

TL;DR: In this article, the authors present a comprehensive review and some new developments on canonical duality theory for nonconvex systems and present a relation between canonical dual transformations and nonlinear (or extended) Lagrange multiplier methods.
Journal ArticleDOI

Finite-Time Consensus for Switching Network Topologies with Disturbances

TL;DR: In this article, the authors investigated the properties of a decentralized consensus algorithm for a network of continuous-time integrators subject to unknown-but-bounded time-varying disturbances.
Journal ArticleDOI

Finite-time stabilization control of memristor-based neural networks☆

TL;DR: In this article, the authors investigated the finite-time stabilization problem for a general class of memristor-based neural networks and gave the upper bound of the settling time for stabilization which depends on the system parameters and control gains.
Journal ArticleDOI

Systems of generalized variational inequalities and their applications

TL;DR: In this article, the authors introduce the system of generalized implicit variational inequalities and prove the existence of its solution, and derive existence results for systems of generalized variational and variational like inequalities.
Journal ArticleDOI

Lyapunov conditions certifying stability and recurrence for a class of stochastic hybrid systems

TL;DR: Lyapunov-based conditions for stability and recurrence are presented for a class of stochastic hybrid systems where solutions are not necessarily unique, either due to nontrivial overlap of the flow and jump sets, a set-valued jump map, or a set ofvalued flow map.