Javad Askari

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This paper presents the design of a recurrent neural network trained Shuffled Frog Leaping Algorithm (RNN-SFLA) for identification and tracking control of a nonlinear continuous stirred tank reactor (CSTR). The RNN is applied to approximate unknown dynamic of system and SFLA is used to train and optimize the connection weights of RNN. In the proposed(More)
This paper investigates an adaptive controller for a class of Multi Input Multi Output (MIMO) nonlinear systems with unknown parameters, bounded time delays and in the presence of unknown time varying actuator failures. The type of considered actuator failure is one in which some inputs may be stuck at some time varying values where the values, times and(More)
Lack of timely fault detection by the user in sensitive systems, will cause damage and loss of significant amounts of resources and information. This paper presents the fault detection and isolation (FDI) in singular bilinear systems with unknown input disturbances and faults by using bilinear sliding mode observer. For this purpose, firstly, the singular(More)
Wireless Sensor Networks (WSNs) consist of many low cost and light sensors dispersed in an area to monitor the physical environment. Event detection in WSN area, especially detection of multi-events at the same time, is an important problem. This article is a new attempt for detection of two simultaneous events based on distributed data processing structure(More)
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