Filtering and Control of Stochastic Jump Hybrid Systems
Springer | Control Engineering | May 22, 2016 | ISBN-10: 3319319140 | 212 pages | pdf | 5.1 mb
Authors: Yao, Xiuming, Wu, Ligang, Zheng, Wei Xing
Presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems
Establishes a unified framework for filtering and control problems for stochastic jump hybrid systems with imperfect information
Presents recent advances in stochastic jump hybrid systems, and application potentials in complex networks