Model predictive control: theory and practice—a survey
Automatica (Journal of IFAC)
Linear controller design: limits of performance
Linear controller design: limits of performance
On linear programming and robust modelpredictive control using impulse-responses
Systems & Control Letters
Robust and optimal control
Worst-case formulations of model predictive control for systems with bounded parameters
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
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In this paper, a robust receding horizon control (RHC) method and its application to a cooperative carrying task problem by two mobile robots is discussed. In the problem, a following robot must be controlled autonomously and it should hold constraint conditions of relative position against structured uncertainties and bounded disturbances anytime. Then the proposed robust RHC method is based on the minimax optimization with bounded constraint conditions. The proposed method generates the velocity and direction angle adequately to hold the conditions. A numerical example is shown to demonstrated the effectiveness of the method.