Zeroing Neural Networks – Finite–time Convergence Design, Analysis and Applicat…

Zeroing Neural NetworksFinite-time Convergence Design, Analysis and Applications\nAuthor(s): Lin Xiao, Lei Jia\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: Wiley-IEEE Press\nISBN-13: 9781119985990, 978-1119985990\nSynopsis\nZeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems\n\nZeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps.\n\nZeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Div.