Quantized Control of Markov Jump Nonlinear Systems Based on Fuzzy Hidden Markov Model. Academic Article

abstract

• This paper considers the problem of asynchronous guaranteed cost control (GCC) for nonlinear Markov jump systems with stochastic quantization. Hidden Markov model is used to describe the nonsynchronous controller and the random quantization phenomenon. Based on Takagi-Sugeno fuzzy technique and Lyapunov function approach, a sufficient condition is obtained, which can not only ensure the asymptotic stability of the closed-loop system and existence of the desired controller, but also can yield the minimal upper bound of GCC performance. Finally, two examples are provided to demonstrate the correctness and reliability of our developed approaches.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

• Dong, S., Wu, Z., Shi, P., Su, H., & Huang, T.

citation count

• 83

complete list of authors

• Dong, Shanling||Wu, Zheng-Guang||Shi, Peng||Su, Hongye||Huang, Tingwen

publication date

• July 2019

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON CYBERNETICS  Journal

keywords

• Asynchronous Controller
• Hidden Markov Model (hmm)
• Random Quantization
• Takagi-sugeno (t-s) Fuzzy Technique

Digital Object Identifier (DOI)

• 10.1109/TCYB.2018.2813279

start page

• 2420

end page

• 2430

volume

• 49

issue

• 7

URL

• http://dx.doi.org/10.1109/tcyb.2018.2813279