Xinwei Cao

mso-fareast-theme-font: minor-latin;">Based on the authors’ research that has been published in leading scientific journals, the book spans a variety of disciplines, including linear and multilinear algebra, generalized inverses, recurrent neural networks, dynamical systems, time-varying problem solving, and unconstrained nonlinear optimization.

This book explores the evolving dynamics of market competition in an age defined by rapid technological advancements and globalization. Drawing from interdisciplinary research across evolutionary theory, economics, computer science, and biology, it provides strategies for businesses, both large and small, to thrive in fiercely competitive environments. This book will interest scholars, businesspeople and economists.

In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.