Dynamic Matrix Control Unconstrained Optimization Quadratic Functions Vector Case Necessary and sufficient optimality conditions Norms Least Squares Problem Least Squares Problem Prediction with Linear Time Invariant State Space Models Discrete Time Linear Time Invariant State Space Model Prediction with Linear Time Invariant State Space Models Prediction with Linear Time Invariant State Space Models Prediction with Linear Time Invariant State Space Models Prediction with Linear Time Invariant State Space Models Prediction with Linear Time Invariant State Space Models Impulse Response Coefficients (Markov Parameters) Define Vector Output Prediction Output Prediction Impulse Response Coefficients (Markov Parameters) Output Prediction Impulse Response Coefficients (Markov Parameters) Output Regulation Problem z r Controller u Process x y Output Regulation Problem z r Controller u Process x y Output Regulation Problem Output Regulation Problem Output Regulation Problem Define / Simplify Notation Define / Simplify Notation Result Weighted Least Squares Problem Expressed as a QP Parameters of the QP Expressed as a QP The Optimal Control Law Output Regulation Problem z r Controller u Process x y Computation of the Gains Matlab Implementation [R,p]=chol(H); %Cholesky Factorization if (p>0) error(’H not pos.def’) end Lx0 =-(R\(R’\Mx0)); LR = -(R\(R’\MR)); Numerical / Computational Observation Output Regulation Problem Regularization z r Controller u Process x y Regularization Regularized Output Regulation Problem Optimal Solution Computation of the Gains Output Regulation Problem z r Controller u Process x y Feedforward-Feedback Control d z r Controller u Process x y Prediction in a Model with Disturbances Prediction in a Model with Disturbances The Objective Function The Objective Function The Feedforward-Feedback Problem Computation of the Gains Feedforward-Feedback Control d z r Controller u Process x y Tasks in Computer Controlled Systems d z r Controller u Process x y Tasks in Computer Controlled Systems d z r Controller u Process x y
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