Search Results - subject:"fuzzy model"

Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm

Cheung, Ngaam J.; Xu, Zhen-Kai; Ding, Xue-Ming; Shen, … - In: European journal of operational research : EJOR 247 (2015) 2, pp. 349-358

Persistent link: https://www.econbiz.de/10011374499

Predictive control and synchronization of chaotic and hyperchaotic systems based on a T–S fuzzy model

Senouci, Abdelkader; Boukabou, Abdelkrim - In: Mathematics and Computers in Simulation (MATCOM) 105 (2014) C, pp. 62-78

This paper presents fuzzy model-based design for control and synchronization of chaotic systems. In this framework, the … chaotic systems are exactly reproduced based on a Takagi–Sugeno (T–S) fuzzy model. Then the fuzzy controllers for control and …

Persistent link: https://www.econbiz.de/10010906720

Robust fault tolerant control of DFIG wind energy systems with unknown inputs

Kamal, E.; Aitouche, A. - In: Renewable Energy 56 (2013) C, pp. 2-15

sensor faults which can affect a TS model. The TS fuzzy model is adopted for fuzzy modeling of the uncertain nonlinear system …

Persistent link: https://www.econbiz.de/10010806275

Optimal Reservoir Operation Based on Conjunctive Use of Surface Water and Groundwater Using Neuro-Fuzzy Systems

Safavi, Hamid; Chakraei, Iman; Kabiri-Samani, Abdolreza; … - In: Water Resources Management 27 (2013) 12, pp. 4259-4275

Reservoir operation cannot be carried out without due heed to surface water and groundwater resources, since neglecting either will have irreversible consequences. Optimal operation of the Zayandehrood Dam which supplies water into the Zayandehrood River basin in the central plateau of Iran is a...

Persistent link: https://www.econbiz.de/10010794780

APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM IN THE PROCESS OF TRANSPORTATION SUPPORT

PAMUČAR, DRAGAN; LUKOVAC, VESKO; PEJČIĆ-TARLE, SNEŽANA - In: Asia-Pacific Journal of Operational Research (APJOR) 30 (2013) 02, pp. 1250053-1

The possibility for more confidential predictions, leaning on scientific methods and accomplishments of information technology leaves more time for the realization of logistic needs. Longstanding ambitions to acquire desired levels of efficiency within the system with minimal costs of resources,...

Persistent link: https://www.econbiz.de/10011010811

Sustainable Rangeland Management Using A Multi-Fuzzy Model: How To Deal With Heterogeneous Experts’ Knowledge

Azadi, H.; Shahvali, M.; van den Berg, van den Berg, J.; … - Erasmus Research Institute of Management (ERIM), … - 2005

Persistent link: https://www.econbiz.de/10010731239

Sustainable Rangeland Management Using A Multi-Fuzzy Model: How To Deal With Heterogeneous Expertsâ€™ Knowledge

Azadi, H.; Shahvali, M.; Berg, J. van den; Faghih, N. - Erasmus Research Institute of Management (ERIM), ERIM … - 2005

to combine all these so-called primary systems into one multi-fuzzy model. To derive each of the primary fuzzy systems … areas of the Fars province in Southwest Iran. In order to find the final output of the multi-fuzzy model, we applied … also available on the ERIM website: www.erim.eur.nl Sustainable Rangeland Management Using a Multi-Fuzzy Model: How to …

Persistent link: https://www.econbiz.de/10005209582

Evaluation of the synergetic gas-enrichment and higher-permeability regions for coalbed methane recovery with a fuzzy model

Liu, Huihu; Sang, Shuxun; Wang, Geoff G.X.; Li, Yangmin; … - In: Energy 39 (2012) 1, pp. 426-439

Determination of the synergetic region with both coalbed methane (CBM) enrichment and higher permeability and its distribution is fundamentally crucial to optimize well design and pattern arrangement for CBM recovery from coal. To address this issue, a predictive model was developed based on...

Persistent link: https://www.econbiz.de/10010808905

Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems

Canizes, Bruno; Soares, João; Vale, Zita; Khodr, H.M. - In: Energy 45 (2012) 1, pp. 1007-1017

This paper proposes a new methodology to reduce the probability of occurring states that cause load curtailment, while minimizing the involved costs to achieve that reduction. The methodology is supported by a hybrid method based on Fuzzy Set and Monte Carlo Simulation to catch both randomness...

Persistent link: https://www.econbiz.de/10010811932

Feedforward control of a class of hybrid systems using an inverse model

Karer, Gorazd; Mušič, Gašper; Škrjanc, Igor; … - In: Mathematics and Computers in Simulation (MATCOM) 82 (2011) 3, pp. 414-427

In this paper we describe the design of a control algorithm for MISO systems, which can be modelled as hybrid fuzzy models. Hybrid fuzzy models present a convenient approach to modelling nonlinear hybrid systems.

Persistent link: https://www.econbiz.de/10011050470