Adaptive output-feedback Lyapunov-based model predictive control of nonlinear process systems

作者：Das Buddhadeva; Mhaskar Prashant^*

来源：International Journal of Robust and Nonlinear Control, 2018, 28(5): 1597-1609.

DOI：10.1002/rnc.3973

• adaptive MPC
• Lyapunov-based model predictive control
• nonlinearity
• output feedback

This work addresses the problem of output feedack control of nonlinear uncertain systems via adaptive Lyapunov-based model predictive control design. To this end, at every control implementation, a moving horizon mechanism is first utilized to generate current estimates of the uncertainty and states. The model with the current estimated uncertainty is then used in a Lyapunov-based model predictive controller to achieve uncertainty rejection. The key ideas are explained through an illustrative example and the application demonstrated on a networked reactor-separator process subject to measurement noise and uncertainty.

• 出版日期2018-3-25