Model-based Predictive Control script description:
Model-based Predictive Control is a Matlab script for Controls and Systems Modeling scripts design by John Anthony Rossiter.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris. Model-based Predictive Control - Easily editable files to simulate three MIMO predictive control algorithms.
Publisher review: Model-based Predictive Control - Easily editable files to simulate three MIMO predictive control algorithms. Easily editable files to simulate three MIMO predictive control algorithms.These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the prediction equations right through to the closed-loop simulation. The code is mostly elementary MATLAB and is also transparent in structure. Hence the files form useful templates for algorithm modifications or to formulate the precise scenario or plots desired. Example files are provided to facilitate this. Some files allow for transfer function models and some for state space models and they cater for both SISO and MIMO processes and include systematic constraint handling. Most files do not use any MATLAB toolboxes but the few exceptions can easily be editted out with a small loss in functionality.The files are provided free of charge and as such no guarantee is given as to their behaviour nor are they intended to be comprehensive. However, USERS are invited to contact the author if they discover either bugs or wish to suggest useful improvements. Requirements: · MATLAB Release: R12 · Control System Toolbox · Optimization Toolbox Operating system: Windows / Linux / Mac OS / BSD / Solaris
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Model-based Predictive Control script details 
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