Adaptive output‐feedback Lyapunov‐based model predictive control of nonlinear process systems. (30th October 2017)

• Record Type: Journal Article
• Authors: Das, Buddhadeva; Mhaskar, Prashant
• Is Part Of: International journal of robust and nonlinear control. Volume 28:Number 5(2018)
• Page Start: 1597
• Page End: 1609
• Publication Date: 2017-10-30
• Subjects: adaptive MPC -- Lyapunov‐based model predictive control -- nonlinearity -- output feedback; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.3973
• Languages: English
• ISSNs: 1049-8923

Abstract

Summary: 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.