Fuzzy activity time-based model predictive control of open-station assembly lines
نویسندگان
چکیده
منابع مشابه
A Real-Time Solution to Fuzzy Model Based Predictive Control
This paper addresses optimization issues in fuzzy model-based predictive control. The success of linear predictive control in controlling constrained linear processes is mainly due to the fact that the on-line optimization problem is a convex one, usually a quadratic programme. When the process model is nonlinear fuzzy one, non-convex time consuming optimization is necessary, with no guarantee ...
متن کاملHardware Implementation of Model Predictive Control Based Fuzzy Logic Controller for Temperature Process Station
In this paper, Model based Predictive Control (MPC) and fuzzy logic controller (FLC) for temperature process station was proposed. This controller design gives an optimum performance even under process disturbances. Conventional controllers like P, PI, and PID controllers fail to control the process effectively under disturbances, conventionally accurate model of the process and complex algorit...
متن کاملFuzzy-model-based hybrid predictive control.
In this paper we present a method of hybrid predictive control (HPC) based on a fuzzy model. The identification methodology for a nonlinear system with discrete state-space variables based on combining fuzzy clustering and principal component analysis is proposed. The fuzzy model is used for HPC design, where the optimization problem is solved by the use of genetic algorithms (GAs). An illustra...
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 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 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: Journal of Manufacturing Systems
سال: 2020
ISSN: 0278-6125
DOI: 10.1016/j.jmsy.2019.11.005