This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functions (ZFs) in real and complex domains. It then provides theoretical analyses of such ZD models and illustrates their results. It also uses simulations to substantiate their efficacy and show the feasibility of the presented ZD approach (i.e., different ZFs leading to different ZD models), which is further applied to the repetitive motion planning (RMP) of redundant robots, showing its application potential.
Time-Varying Reciprocal.- Time-Varying Inverse Square Root.- Time-Varying Square Root.- System of Time-Varying Linear Equations.- Over-Determined and Under-Determined Systems of Time-Varying Linear Equations.- Time-Varying Linear Matrix-Vector Inequality.- Time-VaryingMatrix Inverse.- Time-VaryingMatrix Left Pseudoinverse.- Time-VaryingMatrix Right Pseudoinverse.- Time-VaryingMatrix Square Root.- Time-Varying Complex Reciprocal.- Time-Varying Complex Matrix Inverse.- Time-Varying Complex Matrix Generalized Inverse.- Application to Fixed-Base Robot RMP.- Application to Mobile Robot RMP.
"This detailed, yet concise book of 236 pages contains 5 parts and 18 chapters on Zhang functions (ZF) and Zhang neural dynamics (ZD). ... This book on neural computing may serve as a revelation to numerical analysts as it alters the whole field of computing." (Frank Uhlig, zbMATH 1339.65002, 2016)
