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An observer-based robust predictive control algorithm for singular systems with convex polytopic uncertainties is presented by linear matrix inequality formulation. By constructing the Lyapunov function with the error term, the infinite time domain dasiamin-maxpsila optimization problems are converted into linear programming problems, the sufficient conditions for the existence of observer-based robust...
The problem of robust model predictive control is studied for the singular systems with norm-bounded uncertainties when the states of controlled systems are unmeasurable. A new method is proposed by the observer-based feedback control. At each sampling time, the infinite time domain rdquomin-maxrdquo optimization problems are converted into convex optimization problems. By constructing the Lyapunov...
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