Model predictive control using fuzzy decision functions
نویسندگان
چکیده
منابع مشابه
Model predictive control using fuzzy decision functions
Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the theory of fuzzy sets. This paper i...
متن کاملAdaptive Fuzzy Model-Based Predictive Control Using Fuzzy Decision- Making
Motivated by the need to develop more effective methods of controlling uncertain non-linear systems, this paper focus on developing an adaptive fuzzy model-based controller, in which the optimisation variables remain in the fuzzy domain. The scheme uses an on-line fuzzy identification scheme, which is able to generate a fuzzy relational model using the training data from the system. The propose...
متن کاملFuzzy model predictive control
A highly nonlinear system controlled by a linear model predictive controller (MPC) may not exhibit a satisfactory dynamic performance. This has led to the development of a number of nonlinear MPC (NMPC) approaches that permit the use of first principles-based nonlinear models. Such models can be accurate over a wide range of operating conditions, but may be difficult to develop for many industr...
متن کاملControlling Nonlinear Processes, using Laguerre Functions Based Adaptive Model Predictive Control (AMPC) Algorithm
Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...
متن کاملThree Tank System Control Using Neuro - Fuzzy Model Predictive Control
Three-tank (3T) system is the most representative didactical equipment used as a bench mark system for system modeling, identification and control. A real target representing 3T system has been used for generating data that is used for developing a linear model based on autoregressive exogenous (ARX) method, and neuro-fuzzy (NF) network technique. The developed models have been used as an inter...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
سال: 2001
ISSN: 1083-4419
DOI: 10.1109/3477.907564