Analysis and Design of Markov Jump Systems with Complex Transition Probabilities
Springer | Control Engineering | Feb. 20 2016 | ISBN-10: 3319288466 | 263 pages | pdf | 6.58 mb
Authors: Zhang, L., Yang, T., Shi, P., Zhu, Y.
Studies the Markov jump systems for practical applications by considering uncertain, partially known, and time-varying Transition Probabilities
Addresses the control issues such as stability analysis, control synthesis, filter design and model reduction of Markov jump systems with the different types of transition probabilities
Provides a number of numerical and practical examples to verify the effectiveness of the obtained theoretical results