Bemporad, Alberto and Mosca, Edoardo Fulfilling hard constraints in uncertain linear systems by reference managing. Automatica, 34 (4). pp. 451-461. ISSN 0005-1098 (1998)Full text not available from this repository.
A method based on conceptual tools of predictive control is described for tackling tracking problems of uncertain linear systems wherein pointwise-in-time input and/or state inequality constraints are present. The method consists of adding to a primal compensated system a nonlinear device called predictive reference filter which manipulates the desired reference in order to fulfill the prescribed constraints. Provided that an admissibility condition on the initial state is satisfied, the control scheme is proved to fulfill the constraints, as well as stability and set-point tracking requirements, for all systems whose impulse/step responses lie within given uncertainty ranges.
|Uncontrolled Keywords:||Constraint satisfaction problems; robustness; nonlinear filters; optimization problems; reference input signals|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
|Research Area:||Computer Science and Applications|
|Depositing User:||Professor Alberto Bemporad|
|Date Deposited:||27 Jul 2011 09:19|
|Last Modified:||16 Jul 2014 14:11|
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