شماره ركورد كنفرانس :
3926
عنوان مقاله :
Model Predictive Control of a class of Uncertain Nonlinear Discrete Time Systems: The LMI approach
پديدآورندگان :
Javanmardi Hamid Reza h.javanmardi69@gmail.com Ph. D. Student Department of Power and Control Engineering Shiraz University Shiraz, Iran, 7134851154 , Dehghani Maryam mdehghani@shirazu.ac.ir Assistant Professor Department of Power and Control Engineering Shiraz University Shiraz, Iran, 7134851154 , Safavi Ali Akbar safavi@shirazu.ac.ir Professor Department of Power and Control Engineering Shiraz University Shiraz, Iran, 7134851154 , Abolpour Roozbeh roozbeh.abolpour7@gmail.com Ph. D. Student Department of Power and Control Engineering Shiraz University Shiraz, Iran, 7134851154
كليدواژه :
Finite Horizon , Linear Matrix Inequalities , Model Predictive Control , Nonlinear Cystems , Uncertainty.
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
Model predictive control (MPC) of linear systems is well stablished in the literature. However, The MPC design of nonlinear systems has many challenges and complex calculations due to the inclusion of non-convex optimization problem. This paper, proposes a new approach based on linear matrix inequality to solve the MPC problem with finite horizon for nonlinear uncertain systems which contain additive uncertainty. The proposed algorithm can be applied to a wide class of nonlinear systems and guarantees their stability. The performance and effectiveness of the proposed controller is illustrated with numerical examples.
