N. Sadati

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In this paper, a novel generalized predictive control (GPC) strategy using multiple models approach has been presented. The proposed strategy is realized based on the Takagi-Sugeno-Kang (TSK) fuzzy-based modeling for control of a tubular heat exchanger system. In this strategy, different operating environments of the system with varying parameters are first(More)
CONTEXT Marine algae produce different secondary metabolites with a wide range of biological activities. Many studies have been achieved on the screening of biological effects of marine organisms and a lot of active compounds were isolated and characterized. AIMS In an attempt to find cytotoxic compound of hexane fraction, isolation, identification, and(More)
An adaptive fuzzy sliding mode control scheme is presented in this article. Despite the advantages of sliding mode control design for uncertain dynamic systems, classical sliding mode control has a major problem in the form of chattering, produced by the rapid switching used to conduct the state trajectories toward the sliding surfaces. A variety of methods(More)
The complexity associated with musculoskeletal modeling, simulation, and neural control of the human spine is a challenging problem in the field of biomechanics. This paper presents a novel method for simulation of a 3D trunk model under control of 48 muscle actuators. Central pattern generators (CPG) and artificial neural network (ANN) are used(More)
The patterns which are presented to a Fuzzy ARTmap network should be preprocessed in such a way that the data are of appropriate clearance. In order to decrease the degree of similarity between the normalized binary patterns, a new method is proposed in which the binary patterns are converted to fuzzy (analogue) patterns. This is done by weighting and(More)
Lateral spreading generated by earthquake induced liquefaction, is a major cause for significant damage to the engineered structures, during earthquakes. Knowing the amount of displacement which is likely to occur due to the lateral spreading, will lead to better construction policies, and will reduce unexpected damages. A Neuro-Fuzzy model based on(More)
We present an application of a new controller order reduction technique with stability and performance preservation based on linear matrix inequality optimization to an active suspension system. In this technique, the rank of the residue matrix of a proper rational approximation of a high-order Hoo controller subject to the H,,-norm of a frequency-weighted(More)
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