A high-order quadrature algorithm is presented for computing integrals over curved surfaces
and volumes whose geometry is implicitly defined by the level sets of (one or more) …

This chapter aims to give a concise overview of numerical methods and algorithms for
implementing robust model predictive control (MPC). We introduce the mathematical …

This study is concerned with the rigorous solution of worst‐case robust optimal control
problems having bounded time‐varying uncertainty and nonlinear dynamics with affine …

We propose a complete-search algorithm for solving a class of non-convex, possibly infinite-
dimensional, optimization problems to global optimality. We assume that the optimization …

Min-max differential inequalities (DIs) can be used to characterize robust forward invariant
tubes with convex cross-section for a large class of nonlinear control systems. The …

We present an extension of set-valued integration to enable efficient sensitivity analysis of
parameter-dependent ordinary differential equation (ODE) systems, using both the forward …

Obstacle avoidance problems are a class of non-convex optimal control problems for which
derivative-based optimization algorithms often fail to locate global minima. The goal of this …

A connected component labeling algorithm is developed for implicitly defined domains
specified by multivariate polynomials. The algorithm operates by recursively subdividing the …

A connected component labeling algorithm is developed for implicitly-defined domains
specified by multivariate polynomials. The algorithm operates by recursively subdividing the …

In machine learning and data mining tasks, feature selection is an important process of data
preprocessing. Recent studies have shown that Binary Cuckoo Search Algorithm for Feature …