What is it about?
This paper aims to investigate the sliding mode control strategy for nonlinear Markovian jump systems in which the transition probability could only be partly obtained and the system models and orders are unknown.
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Why is it important?
A mode-dependent data-driven sliding surface is established and by using the high-order sliding mode control strategy, a data-based sliding mode control law is proposed to guarantee the reachability of the sliding mode control system. With the linear matrix inequalities technique, the tracking error of the closed-loop nonlinear Markovian jump system is demonstrated to be asymptotically stochastically stable.
Perspectives
The main contributions of this paper consist of two aspects. Firstly, by applying both the data-driven control strategy and linear matrix inquealities method, a new mode-dependent data-driven sliding surface is proposed. Secondly, a data-based sliding mode tracking controller is integrated to guarantee the asymptotic tracking control of the discrete-time nonlinear Markovian jump systems.
Xiaoru Niu
Northeastern University
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This page is a summary of: Data-driven sliding mode tracking control for unknown Markovian jump nonlinear systems , IET Control Theory and Applications, August 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-cta.2017.0321.
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