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- W1598553511 abstract "This chapter contains sections titled: Internal Model Control Linear Model Predictive Control Nonlinear Model Predictive Control Introduction Industrial Model-Based Control: Current Status and Challenges Challenges in Industrial NMPC First Principle (Analytical) Model-Based NMPC NMPC with Guaranteed Stability Artificial Neural Network (ANN)-Based Nonlinear Model Predictive Control Introduction Basics of ANNs Algorithms for ANN Training Direct ANN Model-Based NMPC (DANMPC) Stable DANMPC Control Law Inverse ANN Model-Based NMPC ANN Model-Based NMPC with Feedback Linearization ANN Model-Based NMPC with On-Line Linearization NMPC Software for Simulation and Practical Implementation Computational Issues NMPC Software for Simulation NMPC Software for Practical Implementation MPC General Tuning Guidelines Model Horizon (n) Prediction Horizon (p) Control Horizon (m) Sampling Time (T) Weight Matrices (Γl y and Γl u) Feedback Filter Dynamic Sensitivity Used for MPC Tuning" @default.
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- W1598553511 date "2006-09-20" @default.
- W1598553511 modified "2023-10-18" @default.
- W1598553511 title "Model Predictive Control" @default.
- W1598553511 doi "https://doi.org/10.1002/9783527609475.ch2" @default.
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