In this paper, a fuzzy model predictive control (FMPC) approach is introduced to design a control system for a highly nonlinear process. In this approach, the process is described by a fuzzy convolution model that consists of a number of quasi-linear fuzzy implications (FI). In controller ...
Interval type-2 T-S fuzzy modelModel predictive controlPackets lossParameter uncertaintiesinterval type-2 T???S fuzzy modelmodel predictive control (MPC)packets lossparameter uncertaintiesIn this paper, the problem of fuzzy predictive control of nonlinear networked control systems subject to paramet...
In this study issues related to applicability of Model-Based Predictive Control (MBPC) to nonlinear and complex processes are addressed. A tank system is taken as an exemplary process, and its prediction model is used for control purposes. Obtained results are applied for level control of a tan...
Fuzzy model predictive control A fuzzy model predictive control (FMPC) approach is introduced to design a control system for a highly nonlinear process. In this approach, a process syste... YL Huang,HH Lou - 《IEEE Transactions on Fuzzy Systems》 被引量: 238发表: 2000年 Fuzzy model-based ...
Experiments show that the model predictive controller has a good performance on tracking the given references. 展开 关键词: pneumatic artificial muscles adaptive T-S fuzzy model LSTM neural network model model predictive control DOI: 10.1007/S11431-021-1887-6 ...
Finally, simulation results over a wide range show that the proposed control system has good load tracking property under amplitude limits and slew-rate limits on the manipulated inputs. 展开 关键词: Thermal power engineering Boiler-Turbine system Global fuzzy model Predictive control Gain Scheduling ...
It shows that the proposed structure can control a perturbed time-delay system well with an identified fuzzy model and a fuzzy controller tuning mechanism关键词: delays digital filters fuzzy control predictive control digital fuzzy filter enhanced Smith control structure fuzzy model fuzzy predictive ...
Fuzzy model-based predictive control We focus on an extension of the predictive control approach. Predictive control has been developed to control linear time invariant plants, described by AR... ML Hadjili,V Wertz,G Scorletti - IEEE Conference on Decision & Control 被引量: 102发表: 1998年 ...
This paper investigates the fuzzy predictive control for a class of nonlinear system with constrains under the condition of noise. Based on the fuzzy linearization theory, a class of nonlinear systems can be described by the Takagi–Sugeno (T–S) fuzzy model. The T–S fuzzy model and predictiv...
Model Predictive Control of Czochralski Crystal Growth Process with Time-Varying Spatial Domain Czochralski crystal growth is an important industrial process utilized for the production of semiconductor materials whereby large single ingots are grown ... JC Ng 被引量: 17发表: 2011年 Dopant segregation ...