This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calibration – Levenberg-Marquarelt with diversified ...

A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a link. As the involved nodes increase drastically, it becomes impossible to observe their full interactions at eac...

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper-parameters is truly laborious and expensive in computational terms. Hence, how to achieve efficient ...

It’s been estimated that around 24 billion tonnes of fertile topsoil is lost each year due to historic and ongoing pollution. With increasing pressure placed upon land as a resource, there is an urgent need to make better use of existing agricultural land, as well as remediate contaminated land for farming use.Contaminants in agricultural soils: Challenges and solutions provides a comprehensive overview of the major types of contaminants in agricultural soils. It considers...

Summarises current advances in the use of seaweed and microalgae as alternative sources of protein primarily in the livestock sectorProvides an authoritative assessment on the need for alternative protein/energy sources in the agricultural marketHighlights the adaptability of seaweed/macroalgae for use across different diets (e.g. human, ruminant, swine, poultry, marine)

This book mainly deals with grassland digitalization and recognition through computer vision, which will make contributions to implement of grass auto recognition and data acquisition. Taking advantage of computer vision, it focuses on intrinsic feature extraction to realize the functions such as auto recognition of forage seeds and microscope images mosaic. The book presents a new approach for identification of grass seeds, with clear figures and detailed tables. It enlightens reader by s...