Abstract: Real time trajectory planning is vital in rocket precision powered landing guidance. Due to the nonconvex angle of attack (AOA) constraint and other constraints, including nonlinear dynamics ...

Abstract: This chapter helps the students to identify linear and quadratic optimization problems. It utilizes Python and the module CvxPy, as a modeling language for convex optimization problems. The ...

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In this paper we consider min-max convex semi-infinite programming. To solve these problems we introduce a unified framework concerning Remez-type algorithms and integral methods coupled with penalty ...

Use sequential convex programming (SCP) to address the collaboration of multiple connected and automated vehicles (CAVs) in different scenarios. A quadratically constrained quadratic programming (QCQP ...

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ABSTRACT: This paper presents a new heuristic to linearise the convex quadratic programming problem. The usual Karush-Kuhn-Tucker conditions are used but in this case a linear objective function is ...

In this article, we explore the characterizations of ε-approximate solutions for convex semidefinite programming problems that involve uncertain data. It first reviews essential findings regarding the ...