Nonlinear model-based control using second-order Volterra models
Automatica (Journal of IFAC)
Fuzzy model-based predictive control by instantaneous linearization
Fuzzy Sets and Systems
Model Predictive Control in the Process Industry
Model Predictive Control in the Process Industry
Journal of Intelligent and Robotic Systems
Predictive Functional Control Based on Fuzzy Model: Design and Stability Study
Journal of Intelligent and Robotic Systems
Design and Stability Analysis of Fuzzy Model-based Predictive Control—A Case Study
Journal of Intelligent and Robotic Systems
A comparison of some adaptive-predictive fuzzy-control strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Predictive functional control based on fuzzy model for heat-exchanger pilot plant
IEEE Transactions on Fuzzy Systems
Effective optimization for fuzzy model predictive control
IEEE Transactions on Fuzzy Systems
Dynamic matrix control algorithm based on interpolated step response neural models
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Application of fuzzy Wiener models in efficient MPC algorithms
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
On prediction generation in efficient MPC algorithms based on fuzzy hammerstein models
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Neural dynamic matrix control algorithm with disturbance compensation
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Adaptive dissolved oxygen control based on dynamic structure neural network
Applied Soft Computing
Numerically efficient analytical MPC algorithm based on fuzzy hammerstein models
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Efficient predictive control and set-point optimization based on a single fuzzy model
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Advanced prediction method in efficient MPC algorithm based on fuzzy hammerstein models
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Efficient MPC algorithms based on fuzzy wiener models and advanced methods of prediction generation
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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Advantages of a fuzzy predictive control algorithm are discussed in the paper. The fuzzy predictive algorithm is a combination of a DMC (Dynamic Matrix Control) algorithm and Takagi-Sugeno fuzzy modeling, thus it inherits advantages of both techniques. The algorithm is numerically effective. It is in fact generalization of the standard DMC algorithm widely used in the industry, thus the existing implementations of the DMC algorithm can be extended using the presented fuzzy approach. A simple and easy to apply method of fuzzy predictive control algorithms synthesis is presented in the paper. It can be easy applied also in the case of Multiple Input Multiple Output (MIMO) control plants. Moreover, information about measured disturbance can be included in the algorithms in an easy way. The advantages of the fuzzy predictive control algorithm are demonstrated in the example control systems of two nonlinear chemical reactors: the first one-with inverse response and the second one-a MIMO plant with time delay.