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Zamir said that at most, the female tank pilot program will lead to a single company of tanks crewed by women, a relatively small number out of the multiple brigades of tanks. IDF Chief of Staff ...

Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...

Abstract: Remote sensing change detection (RSCD) aims to identify the spatio-temporal changes of land cover, providing critical support for multidisciplinary applications (e.g., environmental ...

Abstract: In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive ...

How to program Hisense TV with universal remote codes Now that you know about the correct Hisense TV universal remote codes, it’s time to learn how you can program it. Keep in mind that the first code ...

Abstract: Change detection refers to an identification of pixels that have undergone semantic changes among two remote sensing images captured at different times in a same area. The problem statement ...

Abstract: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...

Abstract: To improve the tracking performance of autonomous underwater vehicles (AUVs), a sliding optimal tracking control method for linear continuous systems is proposed with adaptive dynamic ...

Abstract: This article focuses on a novel robust optimal parallel tracking control method for continuous-time (CT) nonlinear systems subject to uncertainties. First, the designed virtual controller ...

Abstract: This article considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and ...

Abstract: Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on linear ...