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Design of a supervisory predictive controller based on fuzzy models
(IEEE, 2001)
In this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represent the non-linearity of the process and two alternative fuzzy predictors are described in order to solve the optimisation ...
Fuzzy predictive control of a solar power plant
(2005)
This work presents the application of fuzzy predictive control to a solar power plant. The proposed predictive controller uses fuzzy characterization of goals and constraints, based on the fuzzy optimization framework for ...
Predictive Control of the mineral particle size with kernel-reduced volterra models in a balls mill grinding circuit
(Institute of Electrical and Electronics Engineers Inc., 2015-06)
We report the results of the application of the Model-based Predictive Control (MPC) algorithm for a 3×3 MIMO balls mill grinding system by using computational simulation and Monte Carlo data generation. For this purpose, ...
Model-Free Predictive Current Control of a Voltage Source Inverter
(Institute of Electrical and Electronics Engineers, 2020-11)
Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the ...
Embedded position control system of a manipulator using a robust nonlinear predictive control
(Institute of Electrical and Electronics Engineers, 2013-11)
This paper deals with the implementation of a embedded position control system using a robust nonlinear predictive controller, which is employed to control simultaneously angular positions of the base and arm of an angular ...
Constrained generalized predictive control using relaxation with quadratic penalization
(IEEE, 2001)
In this paper an iterative algorithm will be derived to find a numerical solution for the generalized predictive control of linear systems with constraints on controlled and manipulated variables. The algorithm uses the ...
Predictive control with fuzzy characterization of percentage of solids, particle size and power demand for minerals grinding
(IEEE, 2001)
The application of fuzzy predictive control to solve the regulatory problem in mineral grinding plants is considered. The controlled variables are percentage of solids, particle sizes and power demand and the manipulated ...