Posts Tagged ‘T-S fuzzy model’:

Research Fault Diagnosis and Fault-tolerant Control for Networked Control Systems

Networked Control Systems, because of its low cost, reliable and flexible, facilitate fault diagnosis and other advantages, which is widely used in aerospace, manufacturing, electrical, artificial intelligence, and many other systems. But owing to the existence of the problem including time delay and lost package, compared with traditional, Networked Control Systems are more complex, more

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Sliding Mode Control of Uncertain T-S Fuzzy Model

As well-know, the presents of input constraint, time-delay and uncertainties is existed commonly in actual control systems. All of these factors affect the performance of the control systems, even cause system instability, and fuzzy modeling base on T-S fuzzy model provides a new research ideas for analysis and synthesis of nonlinear control systems, in addition,

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Fault Detection Based on T-S Fuzzy Model for Nonlinear Networked Control Systems

With the continued development and successful application of electronic technology,network technology and control science, networked control systems with the advantages ofresource sharing and distribution of remote control have attracted a lot of attentions.Networked control system can bring many benefits, but there are some basic problems whichwill affect the system security and reliability. As an effective

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Research on Coordinated Control System of Ultra-supercritical Power Units

To achieve sustainable development goals of social and economic in China, the energy generation industry must adapt to new situations. Therefore, it’s necessary for power generation units to improve the technology, security, stability and economy. Currently, ultra-supercritical power generation technology is advanced in area of power generation for its reliability, efficiency and environment-friendly. The relevant

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Fault Detection for Nonlinear Networked Control Systems

With the rapid development of network communication technology, Networked Control Systems (NCSs) which arises out from combination on the traditional control system and communication network have been applied in Scientific Research and industrial production widely. Increasing attention has been paid on the safe and reliable operation of the NCSs. Fault Detection and Diagnosis (FDD) of

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Reliability Analysis Optimization Method Based on Bayesian Networks and PSO Algorithm and Its Application

To solve shortage of Bayesian networks’difficulty to construct in reliability analysis,combining with traditional fault tree and T-S fuzzy fault tree, the reliability analysismethod of Bayesian networks built through traditional fault is studied and improved, thereliability analysis method of Bayesian networks built through T-S fuzzy fault tree ispresented, and the PSO(Particle Swarm Optimization)/μPSO algorithm is brought

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The Research Based on Fuzzy Predictive Control of Coal Mine Local Ventilator Air Volume Regulating System

Local ventilation is a very important part of the underground tunneling miningprocess; the underground toxic and harmful gases can be ruled out and diluted by a goodventilation, for the normal breathing of the underground work staff to ensure theeffective exploitation of coal mine safety.However, local ventilation is a complex andpower-hungry process. In order to meet

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Uncertain Time-delay Robust Fault-tolerant Control of Nonlinear Systems

The reliability of the control system is the key factor of the system to normal operation,to ensure reliability and security of modern complex systems has a very important practicalsignificance. Fault tolerant control technology as a hot area of the current control and thereliability of the control system opens up a new way to robust fault

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Analysis on Robust Control for Nonlinear Time-delay Systems Based on T-S Model

As the focus of control theory, the stability analysis and synthesis of nonlinear time-delay system have long been attached much importance. In recent years, T-S fuzzy model method for its own local linear approximation characteristics that have become an important method to study nonlinear time-delay system.Through the establishment of the T-S fuzzy model of the

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Research of Modeling and Optimization Control in Polypropylene Production Process

Polypropylene (PP) is one of the backbone industry of our country, and it is of great significance to promote, as soon as possible, the production technique level of the PP. the large size PP devices as a complex large scale engineering systems exhibit various characteristics, such as the nonlinearity, uncertainties, large time delays, strong coupling,

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