What is it about?
Linear parameter varying (LPV) system model is useful to describe a nonlinear dynamic system. This paper deals with the problem of sampled-data model predictive control (MPC) for linear parameter varying (LPV) systems with input quantisation in practical. An input delayed dynamic model is used to construct a digital controller for continuous-time nonlinear system.
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Why is it important?
To handle the quantisation and sampling, the original continuous-time system is transformed as a sector bounded input delayed system. An LMI condition of quantised MPC design is derived by constructing a new Lyapunov–Krasovskii functional.
Perspectives
The proposed sampled data model predictive control method is useful to handle the input constraint and to decide a sampling time and quantisation level of digital controller for nonlinear dynamic system.
Prof. Sangmoon Lee
Kyungpook National University
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This page is a summary of: Quantised MPC for LPV systems by using new Lyapunov–Krasovskii functional , IET Control Theory and Applications, November 2016, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-cta.2016.0597.
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