Abstract
A Distributed Predictive Control (DPC) algorithm for tracking (piecewise) constant output reference signals is presented in this paper. The overall system is assumed to be composed by a number of discrete-time linear subsystems interconnected through the states and/or the inputs. The algorithm is non-cooperative, based on neighbor-to-neighbor communication, and does not require an iterative exchange of information among neighbors. Unfeasible reference signals, that cannot be reached due to state and control constraints, can also be considered by computing the nearest feasible reference value. A simulation example is reported.
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