Generalized predictive control—Part I. The basic algorithm
Automatica (Journal of IFAC)
Generalized predictive control—Part II. Extensions and interpretations
Automatica (Journal of IFAC)
Adaptive Control
Adaptive Optimal Control: The Thinking Man's G.P.C.
Adaptive Optimal Control: The Thinking Man's G.P.C.
Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
Model predictive control of a batch reactor with membrane-based separation
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Synthesis of explicit model predictive control system with feasible region shrinking
ROCOM'08 Proceedings of the 8th WSEAS International Conference on Robotics, Control and Manufacturing Technology
Adaptive predictive control of time-delay systems
Computers & Mathematics with Applications
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Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which have developed considerably over a few past years. It is mostly based on discrete models of controlled systems. Model of a controlled system is used for computation of predictions of the systems output on the basis of past inputs, outputs and states and designed sequence of future control increments. This paper is focused in comparison of various approaches to computation of multi-step-ahead predictions using a multivariable input - output model. Computational aspects of derivation of predictions can be limiting especially in adaptive predictive control. Many processes are affected by external disturbances that can be measured. Inclusion of measurable disturbances into prediction equations for different approaches was also elaborated.