Motion control of robots is a high-dimensional, nonlinear control problem that is often difficult to handle using traditional dynamical path planning means.Reinforcement learning is currently an effective means to solve robot motion control problems, but reinforcement learning has disadvantages such as high number of trials and errors and sparse re
This paper is focused on the basic properties of ceramic composite materials used as thermal barrier coatings in the aerospace industry like SiC, ZrC, ZrB2 etc., and summarizes some principal properties for thermal barrier coatings.Although the aerospace industry is mainly based on metallic materials, a more attractive approach is represented by ce
Food safety is one of the most important and actual problems of the humanity.It is well-known and approved that a country is in safe food situation only in case when it independently produces essential foodstuffs at least 80% of its self-sufficiency level.The current situation is forcing us to achieve the independence from imports.In our research,
In this paper, a slip ratio controller based on model predictive control (MPC) considering road roughness is proposed for L-Ornithine electric vehicle (EV) to improve the driving/braking performance under low adhesion coefficient road.A half vehicle dynamic model is derived in which pitching, wheel rolling, and tire vertical movement is taking into
Abstract Background The Scarabaeidae insect Protaetia brevitarsis (PB) has recently gained increasing research interest as a resource insect because its larvae can effectively convert decaying organic matter to plant growth-promoting frass with a high humic acid content and produce healthy, nutritional insect protein sources.Lignocellulose is the m