Rules of Change of Weight Matrix in objective Function in Model Predictive Control in order to Consider Stability for Twin Rotor MIMO System Based on Bellman’s Dynamic Programming Method
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Keywords

programming
constraint
parameters

Abstract

A paper [1] indicated that the survey results apply
Model Predictive Control for the TRMS based on
Bellman’s dynamic programming method in order to
consider the stability with the predictive horizon goes
to infinity. The results of [1] has just proved the
stability of system but they did not satisfy constraint
conditions of state parameters. In this article, author
provide rules of change of weight matrix in objective
function in order to satisfy constraint conditions of the
inputs, the outputs and the state parameters of this
system. All of the state parameters reach to zero and
satisfied with constraint conditions, the stable global of
the system when the predictive horizon (NP) goes to
infinity proved a reasonable rule with simulation results

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