The problem of satisfying input and state-dependent inequality constraints in feedback control systems is addressed. The proposed solution is based on predicting the evolution of the constrained vector and, accordingly, selecting on line the future reference based on both the current state and the desired set-point changes. The achievable performance is first investigated via simulations, and compared with the one obtained via a receding horizon controller which uses on line a mathematical programming solver. Finally, an analysis is carried out so as to establish stability and offset-free properties of the method.
Constraint fulfilment in feedback control via predictive reference management
A. BEMPORAD;
1994-01-01
Abstract
The problem of satisfying input and state-dependent inequality constraints in feedback control systems is addressed. The proposed solution is based on predicting the evolution of the constrained vector and, accordingly, selecting on line the future reference based on both the current state and the desired set-point changes. The achievable performance is first investigated via simulations, and compared with the one obtained via a receding horizon controller which uses on line a mathematical programming solver. Finally, an analysis is carried out so as to establish stability and offset-free properties of the method.File in questo prodotto:
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